{"title":"Camera \u0026 Vision","description":"","products":[{"product_id":"ov7670-camera-module","title":"OV7670 Camera Module","description":"\u003cp\u003eOV7670 image sensor, small size, low operating voltage, and provides all the features of the single-chip VGA camera and image processor. Through theSCCB bus control, you can output the entire frame, sub-sampled, take the window way affect the data resolution of 8 bits. VGA image of the product is up to 30 frames \/ sec. Users can fully control the image quality, data format and transmission mode. The process of image processing functions including gamma curves, white balance, saturation, chroma, and so can beprogrammed through the SCCB interface. OmmiVision image sensor applications unique sensor technology to improve image quality by reducing or eliminating the optical or electronic defect, such as fixed pattern noise, tail-blooming, clear and stable color image.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eSpecifications:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eHigh sensitivity for low-light applications\u003c\/li\u003e\n\u003cli\u003eLow voltage suitable for embedded applications\u003c\/li\u003e\n\u003cli\u003eStandard SCCB interface compatible with I2C interface\u003c\/li\u003e\n\u003cli\u003eRawRGB to RGB (GRB4: 2:2, RGB565\/555\/444), YUV (4:2:2) and YCbCr (4:2:2)output format\u003c\/li\u003e\n\u003cli\u003esupport VGA, CIF, and from CIF to 40x30 the size\u003c\/li\u003e\n\u003cli\u003eVarioPixel subsampling way\u003c\/li\u003e\n\u003cli\u003eeliminate light stripes, automatic black level calibration image quality control including color saturation, hue, gamma, sharpness ANTI_BLOOM\u003c\/li\u003e\n\u003cli\u003eISP has eliminate noise and dead pixel compensation function\u003c\/li\u003e\n\u003cli\u003esupport image scaling\u003c\/li\u003e\n\u003cli\u003eThe lens is the loss of light compensation\u003c\/li\u003e\n\u003cli\u003e50\/60Hz detection\u003c\/li\u003e\n\u003cli\u003ethe saturation automatically adjust ( UV adjustment)\u003c\/li\u003e\n\u003cli\u003eedge enhancement automatically adjust\u003c\/li\u003e\n\u003cli\u003eNoise Reduction automatically adjust\u003c\/li\u003e\n\u003cli\u003ekey parameters\u003c\/li\u003e\n\u003cli\u003ephotosensitive array 640X480\u003c\/li\u003e\n\u003cli\u003eIO voltage 2.5V to 3.0V ( internal LDO to core supplies ) the\u003c\/li\u003e\n\u003cli\u003epower operation 60mW\/15fpsVGAYUV\u003c\/li\u003e\n\u003cli\u003eSleep \u0026lt; 20 μ A\u003c\/li\u003e\n\u003cli\u003etemperature operation from -30 ° C to 70 ° C\u003c\/li\u003e\n\u003cli\u003e0 ° C to 50 ° C\u003c\/li\u003e\n\u003cli\u003e( 8 -bit) output format ? YUV\/YCbCr4 RGB565\/555\/444 GRB4: 2:2: 2:2 Raw RGB Data\u003c\/li\u003e\n\u003cli\u003eOptical size of 1\/6 \"\u003c\/li\u003e\n\u003cli\u003efield of view angle of 25 °\u003c\/li\u003e\n\u003cli\u003emaximum Zhen rate 30fps VGA\u003c\/li\u003e\n\u003cli\u003eSensitivity 1.3V \/ (Lux-sec)\u003c\/li\u003e\n\u003cli\u003esignal to noise ratio of 46 dB\u003c\/li\u003e\n\u003cli\u003edynamic range of 52 dB\u003c\/li\u003e\n\u003cli\u003ebrowsing mode progressive\u003c\/li\u003e\n\u003cli\u003eelectronic exposure\u003c\/li\u003e\n\u003cli\u003earea of 3.6 μ mx 3.6 μ m\u003c\/li\u003e\n\u003cli\u003edark current 12 mV \/ s at 60 ° C\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Robot Pi Shop","offers":[{"title":"Default Title","offer_id":40764263366789,"sku":"SN-000059-DVR","price":5.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/screen_shot_2020-02-07_at_5.43.21_pm.png?v=1767554938"},{"product_id":"gesture-recognition-sensor-paj7620u2","title":"Gesture recognition sensor PAJ7620U2","description":"\u003cp\u003ePAJ7620U2 Gesture Sensor, gesture recognition function with general I2C interface into a single chip.\u003cbr\u003eIt can recognize 9 gestures including move up, move down, move left, move right, etc with a simple swipe of your hand.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan class=\"mw-headline\" id=\"Features\"\u003eFeatures:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBased on PAJ7620U2 sensor, directly recognizes 9 basic gestures, supports gesture interrupt output.\u003c\/li\u003e\n\u003cli\u003eEmbedded infrared LED and optical lens, be able to work in low-light even dark environment.\u003c\/li\u003e\n\u003cli\u003eI2C interface, requires only two signal pins to control.\u003c\/li\u003e\n\u003cli\u003eOnboard voltage translator, compatible with 3.3V\/5V logic level.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan class=\"mw-headline\" id=\"Specification\"\u003eSpecifications:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eOperating voltage: 3.3V\/5V\u003c\/li\u003e\n\u003cli\u003eCommunication interface: I2C\u003c\/li\u003e\n\u003cli\u003eRecognition distance: 5cm ~ 15cm\u003c\/li\u003e\n\u003cli\u003eSupported gestures: up, down, left, right, forward, backward, clockwise, anticlockwise, shake\u003c\/li\u003e\n\u003cli\u003eRecognition rate: 240Hz\u003c\/li\u003e\n\u003cli\u003eRecognition angle: 60° (diagonal)\u003c\/li\u003e\n\u003cli\u003eAmbient light immunity: \u0026lt;100k Lux\u003c\/li\u003e\n\u003cli\u003eDimensions: 20mm × 20mm\u003c\/li\u003e\n\u003cli\u003eMounting hole size: 2.0mm\u003c\/li\u003e\n\u003cli\u003eApplication: smart home, offices and teaching, human-robot interaction, gesture toys and domatosensory game equipment\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan class=\"mw-headline\" id=\"Interface\"\u003eInterface:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"wikitable\" height=\"149\" style=\"width: 67.8602%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 12.1205%;\"\u003e\u003cb\u003ePIN\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 26.8121%;\"\u003e\u003cb\u003eSYMBOL\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 60.4189%;\"\u003e\u003cb\u003eDescription\u003c\/b\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 12.1205%;\"\u003e1\u003c\/td\u003e\n\u003ctd style=\"width: 26.8121%;\"\u003eVCC\u003c\/td\u003e\n\u003ctd style=\"width: 60.4189%;\"\u003e3.3V\/5V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 12.1205%;\"\u003e2\u003c\/td\u003e\n\u003ctd style=\"width: 26.8121%;\"\u003eGND\u003c\/td\u003e\n\u003ctd style=\"width: 60.4189%;\"\u003eGround\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 12.1205%;\"\u003e3\u003c\/td\u003e\n\u003ctd style=\"width: 26.8121%;\"\u003eSDA\u003c\/td\u003e\n\u003ctd style=\"width: 60.4189%;\"\u003eI2C data pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 12.1205%;\"\u003e4\u003c\/td\u003e\n\u003ctd style=\"width: 26.8121%;\"\u003eSCL\u003c\/td\u003e\n\u003ctd style=\"width: 60.4189%;\"\u003eI2C clock pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 12.1205%;\"\u003e5\u003c\/td\u003e\n\u003ctd style=\"width: 26.8121%;\"\u003eINT\u003c\/td\u003e\n\u003ctd style=\"width: 60.4189%;\"\u003eExternal interrupt pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"Robot Pi Shop","offers":[{"title":"Default Title","offer_id":40764266053765,"sku":"SN-000034-DVR","price":7.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/41fR-Ob-4wL.jpg?v=1767555053"},{"product_id":"tcs230-color-recognition-sensor-detector-module","title":"TCS230 Color Recognition Sensor Detector Module","description":"\u003cp\u003e\u003cstrong\u003eSpecifications:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eChip: TCS230\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eInput voltage: DC 3 ~ 5V\u003c\/li\u003e\n\u003cli\u003eOutput frequency voltage: 0 ~ 5V\u003c\/li\u003e\n\u003cli\u003eUse bright white LED lights\u003c\/li\u003e\n\u003cli\u003ecan be connected directly with Microcontroller\u003c\/li\u003e\n\u003cli\u003eStatic detection of the measured object color\u003c\/li\u003e\n\u003cli\u003eBest detection distance: 10mm\u003c\/li\u003e\n\u003cli\u003ePCB size: 31.6 (mm) x24.4 (mm)\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Robot Pi Shop","offers":[{"title":"Default Title","offer_id":40764266578053,"sku":"SN-000075-DVR","price":3.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/61u27MtXe3L.jpg?v=1767555086"},{"product_id":"pixy2-smart-vision-sensor","title":"Pixy 2 CMUcam5 Image Sensor","description":"\u003cdiv id=\"Introduction\" class=\"content Introduction\"\u003e\n\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eNote: Please don't tighten the camera, or the chip will be damaged\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eIf you need an AI Machine Vision Sensor with more functions, we recommend\u003cspan\u003e \u003c\/span\u003e\u003cb\u003eGravity: HUSKYLENS.\u003c\/b\u003e\u003c\/p\u003e\nPixy2 is smaller, faster and more capable than the original Pixy. Like its predecessor, Pixy2 can learn to detect objects that you teach it, just by pressing a button. Additionally, Pixy2 has new algorithms that detect and track lines for use with line-following robots. The new algorithms can detect intersections and “road signs” as well. The road signs can tell your robot what to do, such as turn left, turn right, slow down, etc. And Pixy2 does all of this at 60 frames-per-second, so your robot can be fast, too.\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003ciframe src=\"https:\/\/www.youtube.com\/embed\/tnYIb5YlFMM\" class=\"note-video-clip\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003cp\u003ePixy 2 Machine Vision Camera Review with Arduino\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cdiv\u003e\u003ciframe src=\"https:\/\/www.youtube.com\/embed\/EcCbEWiyiQY\" class=\"note-video-clip\"\u003e\u003c\/iframe\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003ePixy2 Camera - Image Recognition for Arduino \u0026amp; Raspberry Pi\u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ciframe src=\"https:\/\/www.youtube.com\/embed\/391dXDjqzXA\" class=\"note-video-clip\"\u003e\u003c\/iframe\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003cdiv\u003eVision artificial con pixy 2 arduino modulo mp3 y display oled de la mano de DFRobot\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ciframe src=\"https:\/\/www.youtube.com\/embed\/pvMdiV7u0MU\" class=\"note-video-clip\"\u003e\u003c\/iframe\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003ch3\u003e\u003cb\u003eConnect directly to Arduino or Raspberry Pi\u003c\/b\u003e\u003c\/h3\u003e\n\u003cbr\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/SEN0265\/SEN0265-001.jpg\"\u003e\u003c\/div\u003e\n\u003cbr\u003e\u003cbr\u003eNo need to futz around with tiny wires — Pixy2 comes with a special cable to plug directly into an Arduino and a USB cable to plug into a Raspberry Pi, so you can get started quickly. No Arduino or Raspberry Pi? No problem! Pixy2 has several interfaces (SPI, I2C, UART, and USB) and simple communications, so you get your chosen controller talking to Pixy2 in short order.\u003cbr\u003e\u003cbr\u003e\n\u003ch3\u003e\u003cb\u003eSimplify your programming\u003c\/b\u003e\u003c\/h3\u003e\n\u003cbr\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/SEN0265\/SEN0265-002.jpg\"\u003e\u003c\/div\u003e\n\u003cbr\u003e\u003cbr\u003eTo get you up and running as fast as possible, we offer software libraries for\u003cspan\u003e \u003c\/span\u003eArduino\u003cspan\u003e \u003c\/span\u003eand\u003cspan\u003e \u003c\/span\u003eRaspberry Pi. Pixy2 makes your programs simpler by only sending the data you’re looking for. For example, if you teach Pixy2 a purple object, you will only receive data (X-Y coordinates, size, and unique ID) about the purple objects that Pixy2 detects.\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"Features\" class=\"content Features\"\u003e\n\u003ch4\u003eFeatures\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003ePixy2 detects lines, intersections and small barcodes, intended for line-following robots\u003c\/li\u003e\n\u003cli\u003eImproved framerate – 60 frames-per-second\u003c\/li\u003e\n\u003cli\u003eTracking algorithms have been added to color-based object detection\u003c\/li\u003e\n\u003cli\u003eImproved and simplified libraries for Arduino, Raspberry Pi and other controllers\u003c\/li\u003e\n\u003cli\u003eIntegrated light source\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003eSpecification\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eLens type: Standard M12\u003c\/li\u003e\n\u003cli\u003eProcessor: NXP LPC4330, 204 MHz, dual core\u003c\/li\u003e\n\u003cli\u003eImage sensor: Aptina MT9M114, 1296×976 resolution with integrated image flow processor\u003c\/li\u003e\n\u003cli\u003eLens field-of-view: 60 degrees horizontal, 40 degrees vertical\u003c\/li\u003e\n\u003cli\u003ePower consumption: 140 mA typical\u003c\/li\u003e\n\u003cli\u003ePower input: USB input (5V) or unregulated input (6V to 10V)\u003c\/li\u003e\n\u003cli\u003eRAM: 264K bytes\u003c\/li\u003e\n\u003cli\u003eFlash: 2M bytes\u003c\/li\u003e\n\u003cli\u003eAvailable data outputs: UART serial, SPI, I2C, USB, digital, analog\u003c\/li\u003e\n\u003cli\u003eDimensions:1.5” x 1.65” x 0.6”\u003c\/li\u003e\n\u003cli\u003eWeight: 10 grams\u003c\/li\u003e\n\u003cli\u003eIntegrated light source, approximately 20 lumens\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eShipping List:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003ePixy 2 CMUcam5 Image Sensor x1\u003c\/li\u003e\n\u003cli\u003eFC-10P to FC-6P Cable x1\u003c\/li\u003e\n\u003cli\u003eScrew Package x1\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"DFRobot","offers":[{"title":"Default Title","offer_id":40764268478597,"sku":"SN-000217-DFR","price":64.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/1_8125238d-be55-4f0d-bec2-28fd40ba965a.png?v=1767555252"},{"product_id":"waterproof-endoscope-usb-1-5m","title":"Waterproof Endoscope USB","description":"\u003cdiv\u003e\u003cstrong\u003eFeatures:\u003c\/strong\u003e\u003c\/div\u003e\n\u003cul\u003e\n\u003cli id=\"offer-template-0\"\u003eLatest Model for Android phones,can take Photo,video and Sound recording, and the photos \u0026amp; 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Designed for \u003cstrong data-end=\"450\" data-start=\"439\"\u003eedge AI\u003c\/strong\u003e, \u003cstrong data-end=\"470\" data-start=\"452\"\u003emachine vision\u003c\/strong\u003e, and \u003cstrong data-end=\"505\" data-start=\"476\"\u003eembedded image processing\u003c\/strong\u003e, it offers outstanding performance for real-time recognition and intelligent applications — all without the need for a computer or cloud connection.\u003c\/p\u003e\n\u003cp data-end=\"999\" data-start=\"658\"\u003eThis compact module can handle \u003cstrong data-end=\"772\" data-start=\"689\"\u003eimage classification, object detection, face recognition, and speech processing\u003c\/strong\u003e locally, making it perfect for \u003cstrong data-end=\"861\" data-start=\"804\"\u003erobotics, smart cameras, IoT devices, and AI projects\u003c\/strong\u003e. With built-in peripherals and flexible interfaces, the K210 is a complete platform for developing next-generation intelligent systems.\u003c\/p\u003e\n\u003ch4 data-end=\"1032\" data-start=\"1006\"\u003e\u003cstrong\u003eSpecifications:\u003c\/strong\u003e\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli data-end=\"1095\" data-start=\"1036\"\u003e\n\u003cstrong data-end=\"1055\" data-start=\"1036\"\u003eMain Processor:\u003c\/strong\u003e Kendryte K210 Dual-Core 64-bit RISC-V\u003c\/li\u003e\n\u003cli data-end=\"1137\" data-start=\"1098\"\u003e\n\u003cstrong data-end=\"1117\" data-start=\"1098\"\u003eCore Frequency:\u003c\/strong\u003e 400 MHz – 800 MHz\u003c\/li\u003e\n\u003cli data-end=\"1179\" data-start=\"1140\"\u003e\n\u003cstrong data-end=\"1177\" data-start=\"1140\"\u003eNeural Network Accelerator (KPU):\u003c\/strong\u003e\n\u003cul\u003e\n\u003cli data-end=\"1230\" data-start=\"1184\"\u003eSupports convolutional neural networks (CNN)\u003c\/li\u003e\n\u003cli data-end=\"1277\" data-start=\"1235\"\u003eUp to 0.25 TOPS @ 0.3W power consumption\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"1306\" data-start=\"1280\"\u003e\n\u003cstrong data-end=\"1289\" data-start=\"1280\"\u003eSRAM:\u003c\/strong\u003e 8 MB (on-chip)\u003c\/li\u003e\n\u003cli data-end=\"1353\" data-start=\"1309\"\u003e\n\u003cstrong data-end=\"1326\" data-start=\"1309\"\u003eFlash Memory:\u003c\/strong\u003e 16 MB external SPI flash\u003c\/li\u003e\n\u003cli data-end=\"1401\" data-start=\"1356\"\u003e\n\u003cstrong data-end=\"1377\" data-start=\"1356\"\u003eCamera Interface:\u003c\/strong\u003e DVP and SPI supported\u003c\/li\u003e\n\u003cli data-end=\"1460\" data-start=\"1404\"\u003e\n\u003cstrong data-end=\"1426\" data-start=\"1404\"\u003eDisplay Interface:\u003c\/strong\u003e SPI (supports LCD\/TFT displays)\u003c\/li\u003e\n\u003cli data-end=\"1502\" data-start=\"1463\"\u003e\n\u003cstrong data-end=\"1496\" data-start=\"1463\"\u003eMicrophone \/ Audio Interface:\u003c\/strong\u003e I2S\u003c\/li\u003e\n\u003cli data-end=\"1563\" data-start=\"1505\"\u003e\n\u003cstrong data-end=\"1523\" data-start=\"1505\"\u003eUSB Interface:\u003c\/strong\u003e Micro USB (for power and programming)\u003c\/li\u003e\n\u003cli data-end=\"1612\" data-start=\"1566\"\u003e\n\u003cstrong data-end=\"1584\" data-start=\"1566\"\u003eCommunication:\u003c\/strong\u003e UART, SPI, I2C, PWM, GPIO\u003c\/li\u003e\n\u003cli data-end=\"1678\" data-start=\"1615\"\u003e\n\u003cstrong data-end=\"1637\" data-start=\"1615\"\u003eOperating Voltage:\u003c\/strong\u003e 3.3V – 5V (via USB or external supply)\u003c\/li\u003e\n\u003cli data-end=\"1749\" data-start=\"1681\"\u003e\n\u003cstrong data-end=\"1703\" data-start=\"1681\"\u003ePower Consumption:\u003c\/strong\u003e Low power edge AI operation (\u0026lt;0.5W typical)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4 data-end=\"1832\" data-start=\"1808\"\u003eKey Features:\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli data-end=\"1910\" data-start=\"1836\"\u003e\n\u003cstrong data-end=\"1876\" data-start=\"1836\"\u003eDual-core 64-bit RISC-V AI processor\u003c\/strong\u003e optimized for vision and speech\u003c\/li\u003e\n\u003cli data-end=\"1985\" data-start=\"1913\"\u003eBuilt-in \u003cstrong data-end=\"1956\" data-start=\"1922\"\u003eKPU (Kendryte Processing Unit)\u003c\/strong\u003e for real-time AI inference\u003c\/li\u003e\n\u003cli data-end=\"2071\" data-start=\"1988\"\u003eSupports \u003cstrong data-end=\"2015\" data-start=\"1997\"\u003eface detection\u003c\/strong\u003e, \u003cstrong data-end=\"2039\" data-start=\"2017\"\u003eobject recognition\u003c\/strong\u003e, and \u003cstrong data-end=\"2069\" data-start=\"2045\"\u003eimage classification\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"2151\" data-start=\"2074\"\u003eCompatible with \u003cstrong data-end=\"2100\" data-start=\"2090\"\u003eMaixPy\u003c\/strong\u003e (MicroPython) and \u003cstrong data-end=\"2128\" data-start=\"2119\"\u003eC SDK\u003c\/strong\u003e for easy programming\u003c\/li\u003e\n\u003cli data-end=\"2219\" data-start=\"2154\"\u003e\n\u003cstrong data-end=\"2182\" data-start=\"2154\"\u003eOnboard camera interface\u003c\/strong\u003e and optional LCD display connector\u003c\/li\u003e\n\u003cli data-end=\"2279\" data-start=\"2222\"\u003e\n\u003cstrong data-end=\"2250\" data-start=\"2222\"\u003eStandalone AI processing\u003c\/strong\u003e — no PC or internet needed\u003c\/li\u003e\n\u003cli data-end=\"2343\" data-start=\"2282\"\u003eIdeal for \u003cstrong data-end=\"2304\" data-start=\"2292\"\u003erobotics\u003c\/strong\u003e, \u003cstrong data-end=\"2313\" data-start=\"2306\"\u003eIoT\u003c\/strong\u003e, and \u003cstrong data-end=\"2341\" data-start=\"2319\"\u003eAI vision research\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4 data-end=\"2374\" data-start=\"2350\"\u003eApplications:\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli data-end=\"2415\" data-start=\"2378\"\u003eFace and object recognition systems\u003c\/li\u003e\n\u003cli data-end=\"2447\" data-start=\"2418\"\u003eSmart robots and automation\u003c\/li\u003e\n\u003cli data-end=\"2475\" data-start=\"2450\"\u003eIoT and edge AI devices\u003c\/li\u003e\n\u003cli data-end=\"2507\" data-start=\"2478\"\u003eGesture and motion tracking\u003c\/li\u003e\n\u003cli data-end=\"2545\" data-start=\"2510\"\u003eImage classification and counting\u003c\/li\u003e\n\u003cli data-end=\"2584\" data-start=\"2548\"\u003eEmbedded visual monitoring systems\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4 data-end=\"2635\" data-start=\"2591\"\u003eWhy Choose the K210 Visual Module:\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli data-end=\"2693\" data-start=\"2639\"\u003ePowerful AI processor with \u003cstrong data-end=\"2691\" data-start=\"2666\"\u003elow power consumption\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"2739\" data-start=\"2696\"\u003eRuns neural networks directly on the edge\u003c\/li\u003e\n\u003cli data-end=\"2826\" data-start=\"2742\"\u003eCompact design, easy integration with \u003cstrong data-end=\"2812\" data-start=\"2780\"\u003eArduino, ESP32, Raspberry Pi\u003c\/strong\u003e, and others\u003c\/li\u003e\n\u003cli data-end=\"2903\" data-start=\"2829\"\u003eSupported by \u003cstrong data-end=\"2852\" data-start=\"2842\"\u003eMaixPy\u003c\/strong\u003e, \u003cstrong data-end=\"2870\" data-start=\"2854\"\u003eKendryte SDK\u003c\/strong\u003e, and open-source AI frameworks\u003c\/li\u003e\n\u003cli data-end=\"2976\" data-start=\"2906\"\u003eGreat choice for \u003cstrong data-end=\"2974\" data-start=\"2923\"\u003eAI education, research, and product prototyping\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Yahboom","offers":[{"title":"Default Title","offer_id":40764300001413,"sku":"SN-000144-DVR","price":64.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/ky210_aimotion_1.png?v=1767556744"},{"product_id":"tcs3200-rgb-color-detection-sensor","title":"TCS3200 RGB Color Detection Sensor","description":"\u003cp\u003e\u003cspan data-spm-anchor-id=\"a2g0o.detail.1000023.i0.285f51ck51ckDY\"\u003e\u003cspan\u003eTCS3200 Colour Sensor, a sophisticated and reliable sensor designed for precise color detection in your electronic projects. \u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003eThe TCS3200 employs advanced technology to accurately identify and quantify colors, making it an indispensable tool for applications ranging from industrial automation to interactive art installations. With its high sensitivity and precision, this sensor is engineered to meet the demands of modern color-sensitive projects.\u003c\/p\u003e\n\u003cp\u003eFeaturing a compact and durable design, the TCS3200 ensures seamless integration into a variety of setups. Its versatility makes it suitable for applications such as color sorting, quality control, and ambient light adjustments, offering a wide range of creative and functional possibilities.\u003c\/p\u003e\n\u003cp\u003eInstallation is user-friendly, and the sensor is compatible with popular microcontrollers and development platforms, allowing for quick and efficient implementation. The Besomi Electronics TCS3200 Colour Sensor is your gateway to accurate color detection and analysis, providing you with a dependable solution that adheres to the high standards set by the industry.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-spm-anchor-id=\"a2g0o.detail.1000023.i0.285f51ck51ckDY\"\u003eSpecifications:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan data-spm-anchor-id=\"a2g0o.detail.1000023.i0.285f51ck51ckDY\"\u003eChip: TCS3200\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003eInput voltage: DC 3V-5V\u003c\/li\u003e\n\u003cli\u003eOutput frequency voltage: 0 ~ 5V\u003c\/li\u003e\n\u003cli\u003eUse bright white LED lights\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e\u003cspan data-spm-anchor-id=\"a2g0o.detail.1000023.i1.285f51ck51ckDY\"\u003eStatic detection of the measured object color\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003eBest detection distance: 10mm\u003c\/li\u003e\n\u003cli\u003eColor Sensor: TCS3200 for precise and reliable color detection in electronic applications.\u003c\/li\u003e\n\u003cli\u003eVersatile Use: Ideal for projects requiring color recognition and analysis.\u003c\/li\u003e\n\u003cli\u003eHigh Accuracy: Provides accurate RGB color values for enhanced performance.\u003c\/li\u003e\n\u003cli\u003eEasy Integration: Compact design for straightforward integration into various setups.\u003c\/li\u003e\n\u003cli\u003eArduino Compatible: Works seamlessly with Arduino and other microcontroller platforms.\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Robot Pi Shop","offers":[{"title":"Default Title","offer_id":40764300951685,"sku":"SN-000147-DVR","price":5.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/image-149.jpg?v=1767556801"},{"product_id":"3d-camera-somatosensory-depth-sensor","title":"3D camera Somatosensory depth Sensor","description":"\u003cp\u003e\u003cstrong\u003eSpecifications:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003ePower supply mode: USB\u003c\/li\u003e\n\u003cli\u003ePower consumption: 3.2-4W\u003c\/li\u003e\n\u003cli\u003eMeasurement accuracy: 2mm\u003c\/li\u003e\n\u003cli\u003eMeasuring range: 0.28-1m\u003c\/li\u003e\n\u003cli\u003eResolution: 640 x 480 @30fps\u003c\/li\u003e\n\u003cli\u003eDepth data type: Raw Data 16bit\u003c\/li\u003e\n\u003cli\u003eFOV: H60° x V47°\u003c\/li\u003e\n\u003cli\u003eColor data format: MJPEG\/RGB\/YUN\u003c\/li\u003e\n\u003cli\u003eRGB image resolution: 1920 x 1080@30fps\u003c\/li\u003e\n\u003cli\u003eSupported development platform: Windows Android Linux\u003c\/li\u003e\n\u003cli data-spm-anchor-id=\"a2g0o.detail.1000023.i0.5a61cE4EcE4E3s\"\u003eUse environment: indoor\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Robot Pi Shop","offers":[{"title":"Default Title","offer_id":40764311175301,"sku":"SN-000046-DVR","price":94.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/screenshot_2023-12-21_at_4.06.59_pm.png?v=1767557328"},{"product_id":"360-omnidirectional-high-torque-2-axis-expandable-pan-tilt-camera-module","title":"360° Omnidirectional High-Torque 2-Axis Expandable Pan-Tilt Camera Module","description":"\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cstrong\u003e360° Omnidirectional High-Torque 2-Axis Pan-Tilt Camera Module\u003c\/strong\u003e\u003c\/div\u003e\n\u003cp class=\"richDesc pdTRBL\"\u003eThis Is A High-Torque 2-DOF Expandable Pan-Tilt Camera Module, Adopts Serial Bus Servos For Joints Driven. The Horizontal PAN Axis Rotation Range Up To ±180° (360° In Total), The Vertical TILT Axis Rotation Range Up To -45° ~ 90°. Based On The General Driver Board For Robots, Open Source Control Demos For Web APP To Achieve Photo Taking, Video Recording, Face Detection, Motion Detection, Etc. Supports Flexible Expansion And Secondary Development.\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/2-Axis-Pan-Tilt-Camera-Module\/2-Axis-Pan-Tilt-Camera-Module-details-3.jpg\" width=\"502\" height=\"502\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cp\u003e\u003cstrong\u003e* for reference only, the Raspberry Pi 4B is NOT included.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cbr\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/2-Axis-Pan-Tilt-Camera-Module\/2-Axis-Pan-Tilt-Camera-Module-details-5.jpg\" width=\"503\" height=\"377\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cstrong\u003eSpecifications:\u003c\/strong\u003e\u003c\/div\u003e\n\u003cdiv class=\"richTitle\"\u003e \u003c\/div\u003e\n\u003ctable class=\"tabSty-2 mgnTB subBlock alignl\" height=\"432\" style=\"width: 93.7956%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 23.0627%;\"\u003eDOF\u003c\/th\u003e\n\u003ctd style=\"width: 76.5683%;\"\u003e2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 23.0627%;\"\u003eDRIVE METHOD\u003c\/th\u003e\n\u003ctd style=\"width: 76.5683%;\"\u003eTTL Serial bus servo\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 23.0627%;\"\u003eSERVO ROTATION SPEED\u003c\/th\u003e\n\u003ctd style=\"width: 76.5683%;\"\u003e40rpm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 23.0627%;\"\u003eJOINT ANGLE SENSOR\u003c\/th\u003e\n\u003ctd style=\"width: 76.5683%;\"\u003e12-bit 360° magnetic encoder\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 23.0627%;\"\u003eSERVO TORQUE\u003c\/th\u003e\n\u003ctd style=\"width: 76.5683%;\"\u003e30kg.cm at12V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 23.0627%;\"\u003eJOINT FEEDBACK INFORMATION\u003c\/th\u003e\n\u003ctd style=\"width: 76.5683%;\"\u003eservo status, joint angle, rotation speed, joint load, servo voltage, servo current, servo temperature and servo working mode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 23.0627%;\"\u003eMAIN CONTROL\u003c\/th\u003e\n\u003ctd style=\"width: 76.5683%;\"\u003eESP32-D0WD-V3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 23.0627%;\"\u003eWIRED CONTROL MODE\u003c\/th\u003e\n\u003ctd style=\"width: 76.5683%;\"\u003eUSB, UART\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 23.0627%;\"\u003eHOST SUPPORT\u003c\/th\u003e\n\u003ctd style=\"width: 76.5683%;\"\u003eRaspberry Pi 4B, Raspberry Pi 5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 23.0627%;\"\u003eLED POWER\u003c\/th\u003e\n\u003ctd style=\"width: 76.5683%;\"\u003e\u0026lt;1.5W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 23.0627%;\"\u003eWEIGHT\u003c\/th\u003e\n\u003ctd style=\"width: 76.5683%;\"\u003e441g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 23.0627%;\"\u003eDEMO\u003c\/th\u003e\n\u003ctd style=\"width: 76.5683%;\"\u003eReal-time video transmission, resolution configuration, zoom, face detection (OpenCV), motion detection (OpenCV), photo taking, video recording, video review, detection condition setting, detection action setting, LED control, pan-tilt control, and serial bus servo setting\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cstrong\u003eEasy To Control Via Cross-Platform Web Application\u003c\/strong\u003e\u003c\/div\u003e\n\u003cp class=\"richDesc\"\u003eAllows Connecting And Controlling The Pan-Tilt Module Via Mobile Phones, Tablets And Computers By Clicking The Buttons On The Web App. Supports Secondary Development Of This Open-Source Web App To Customize The User Interface And Add New Functions.\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/2-Axis-Pan-Tilt-Camera-Module\/2-Axis-Pan-Tilt-Camera-Module-details-7.jpg\" width=\"515\" height=\"386\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cstrong\u003eFlexible 360° Omnidirectional Rotation\u003c\/strong\u003e\u003c\/div\u003e\n\u003cp class=\"richDesc\"\u003eThe Horizontal Rotation Range Up To 360°, The Vertical Rotation Range Up To 135°\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/2-Axis-Pan-Tilt-Camera-Module\/2-Axis-Pan-Tilt-Camera-Module-details-9.jpg\" width=\"521\" height=\"630\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e \u003c\/div\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cstrong\u003eSupports Raspberry Pi 4B \/ 5 highly Compatible With Raspberry Pi, Can Be Easily Integrated Into Your Project.\u003c\/strong\u003e\u003c\/div\u003e\n\u003cdiv class=\"richTitle\"\u003e \u003c\/div\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/2-Axis-Pan-Tilt-Camera-Module\/2-Axis-Pan-Tilt-Camera-Module-details-11.jpg\" width=\"530\" height=\"447\"\u003e\n\u003cp class=\"note\"\u003e* for reference only, the Raspberry Pi is NOT included.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cstrong\u003eOpen-Source All Demos for A Variety Of Practical Functions\u003c\/strong\u003e\u003c\/div\u003e\n\u003cdiv class=\"richTitle\"\u003e \u003c\/div\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/2-Axis-Pan-Tilt-Camera-Module\/2-Axis-Pan-Tilt-Camera-Module-details-13.jpg\" width=\"525\" height=\"128\"\u003e\n\u003cdiv class=\"richGridWrap richGridWrap-2c richGridWrap-valignTop mgnTB\"\u003e\n\u003cdiv\u003e\n\u003cimg class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/2-Axis-Pan-Tilt-Camera-Module\/2-Axis-Pan-Tilt-Camera-Module-details-15-1.jpg\"\u003e\n\u003cp\u003e\u003cstrong\u003eFace Detection\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n \n\u003cdiv\u003e\n\u003cimg class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/2-Axis-Pan-Tilt-Camera-Module\/2-Axis-Pan-Tilt-Camera-Module-details-15-2.jpg\"\u003e\n\u003cp\u003e\u003cstrong\u003eMotion Detection\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n \n\u003cdiv\u003e\n\u003cimg class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/2-Axis-Pan-Tilt-Camera-Module\/2-Axis-Pan-Tilt-Camera-Module-details-15-3.jpg\"\u003e\n\u003cp\u003e\u003cstrong\u003ePan-tilt Control\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n \n\u003cdiv\u003e\n\u003cimg class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/2-Axis-Pan-Tilt-Camera-Module\/2-Axis-Pan-Tilt-Camera-Module-details-15-4.gif\"\u003e\n\u003cp\u003e\u003cstrong\u003eVideo Review\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e160° Ultra Wide-Angle Camera\u003c\/div\u003e\n\u003cp class=\"richDesc\"\u003eComes With 0V5647 5MP 160 Ultra Wide-Angle Camera Capture Wider Area To Meet Various Visual Requirements\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/2-Axis-Pan-Tilt-Camera-Module\/2-Axis-Pan-Tilt-Camera-Module-details-17.jpg\" width=\"516\" height=\"398\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cstrong\u003eLED Fill Light\u003c\/strong\u003e\u003c\/div\u003e\n\u003cp class=\"richDesc\"\u003eEnsures Clear Images In Low-Light Conditions\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/2-Axis-Pan-Tilt-Camera-Module\/2-Axis-Pan-Tilt-Camera-Module-details-19.jpg\" width=\"518\" height=\"483\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e \u003c\/div\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cstrong\u003eSmall Size × High-Torque 30kg.Cm Ultimate Joint Torque To Meet Various Working Requirements\u003c\/strong\u003e\u003c\/div\u003e\n\u003cdiv class=\"richTitle\"\u003e \u003c\/div\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/2-Axis-Pan-Tilt-Camera-Module\/2-Axis-Pan-Tilt-Camera-Module-details-21.jpg\" width=\"521\" height=\"543\"\u003e\n\u003cp\u003e* for reference only, please refer to the Package Content for detailed part list\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\n\u003cstrong\u003eJoint Direct-Drive Design With high-Precision Serial Bus Servo\u003c\/strong\u003es\u003c\/div\u003e\n\u003cp class=\"richDesc\"\u003eAdopts Joint Direct-Drive Design With High-Precision Serial Bus Servos, Built In 360° 12-Bit Magnetic Encoder, Supports Obtaining Feedback Information Such As Joint Angle And Joint Load To Realize Closed-Loop Control\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/2-Axis-Pan-Tilt-Camera-Module\/2-Axis-Pan-Tilt-Camera-Module-details-23.jpg\" width=\"511\" height=\"463\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003eSupports Flexible Expansion And Secondary Development\u003c\/div\u003e\n\u003cp class=\"richDesc\"\u003eComes With A Free Picatinny Rail And 1\/4 Screw, Open Source For Models And Drawings.\u003cbr\u003eMore Convenient For Users To Integrate This Pan-Tilt Camera Module Into Other Projects\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/2-Axis-Pan-Tilt-Camera-Module\/2-Axis-Pan-Tilt-Camera-Module-details-25.jpg\" width=\"511\" height=\"538\"\u003e\n\u003cp\u003e* for reference only, please refer to the Package Content for detailed part list\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e \u003c\/div\u003e\n\u003cimg class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/2-Axis-Pan-Tilt-Camera-Module\/2-Axis-Pan-Tilt-Camera-Module-details-27.jpg\" width=\"513\" height=\"466\"\u003e\n\u003cp\u003e* for reference only, please refer to the Package Content for detailed part list\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cstrong\u003eOutline Dimensions\u003c\/strong\u003e\u003c\/div\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/2-Axis-Pan-Tilt-Camera-Module\/2-Axis-Pan-Tilt-Camera-Module-details-size.jpg\" width=\"523\" height=\"627\"\u003e\n\u003c\/div\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":40879485485189,"sku":"PN-000002-DVR","price":149.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/3660.jpg?v=1767557799"},{"product_id":"unihiker-k10-ai-coding-board","title":"UNIHIKER K10 AI Coding Board","description":"\u003ch4\u003eIntroduction\u003c\/h4\u003e\n\u003cdiv\u003e\n\u003cp\u003eThe UNIHIKER K10 AI coding board is designed for K12 STEM education and beginners, combining\u003cspan\u003e \u003c\/span\u003e\u003cb\u003evision AI, voice control, and TinyML machine learning\u003c\/b\u003e\u003cspan\u003e \u003c\/span\u003ein one compact device. This AI learning coding board features a 2.8-inch color display, dual wireless connectivity (Wi-Fi\/Bluetooth), and a comprehensive sensor suite including a 2MP camera, microphone, speaker, RGB light, plus environmental detectors for temperature, humidity, light, and motion. With its edge connectors and\u003cspan\u003e \u003c\/span\u003eGravity\u003cspan\u003e \u003c\/span\u003eIO interfaces, users can easily connect and control various digital\/analog sensors, I2C\/UART actuators, and other peripherals, creating complete IoT solutions without requiring additional hardware.\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.dfrobot.com\/product-2691.html\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR0992\/1.jpg\" alt=\"UNIHIKER K10 AI Learning Device Vision Voice and Machine Learning\" title=\"UNIHIKER K10 AI Learning Device Vision Voice and Machine Learning\" data-merlin-processed=\"true\"\u003e\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e4 Pre-Loaded Vision AI Models for Beginner Projects\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eIdeal for first-time AI exploration, the UNIHIKER K10 board comes with four ready-to-use vision models:\u003cspan\u003e \u003c\/span\u003e\u003cb\u003eFace Detection, Pet Recognition (Cat\/Dog), QR Code Scanning, and Motion Sensing\u003c\/b\u003e. The integrated 2MP camera allows beginners to immediately create security systems, interactive displays, and smart monitoring projects - no prior programming experience needed.\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.dfrobot.com\/product-2691.html\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR0992\/2.jpg\" alt=\"UNIHIKER K10 Pre-Installed with 4 Types of Vision AI Models\" title=\"UNIHIKER K10 Pre-Installed with 4 Types of Vision AI Models\" data-merlin-processed=\"true\"\u003e\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eSupports Offline Speech Recognition\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eEquipped with a built-in microphone and pre-installed voice models, the UNIHIKER K10 supports offline speech recognition. This enables users to create voice-activated applications, such as custom voice commands and interactive AI systems, without requiring an internet connection.\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.dfrobot.com\/product-2691.html\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR0992\/3.jpg\" alt=\"UNIHIKER K10 Supports Offline Speech Recognition\" title=\"UNIHIKER K10 Supports Offline Speech Recognition\" data-merlin-processed=\"true\"\u003e\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eNot Just Built-in Models\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThe UNIHIKER K10 supports TinyML, allowing users to train their own custom vision and sensor models. With the ability to develop personalized AI models for specific tasks, users can explore deeper AI applications and tailor the board’s functionality to their unique projects. Whether working with image recognition, sensor data, or other AI-based tasks, TinyML offers the flexibility to push the boundaries of the board’s capabilities.\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.dfrobot.com\/product-2691.html\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR0992\/4.jpg\" alt=\"Create More AI with UNIHIKER K10 Camera\" title=\"Create More AI with UNIHIKER K10 Camera\" data-merlin-processed=\"true\"\u003e\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.dfrobot.com\/product-2691.html\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR0992\/5.jpg\" alt=\"Create More AI with the UNIHIKER K10 Sensor\" title=\"Create More AI with the UNIHIKER K10 Sensor\" data-merlin-processed=\"true\"\u003e\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eCombine BT \u0026amp; Wi-Fi with AI to Create More Possibilities\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eBy combining Bluetooth 5.0 and Wi-Fi 2.4G with onboard AI functionality, the UNIHIKER K10 offers extensive connectivity options for creating more interactive and data-driven applications. Whether building IoT systems, remote control applications, or data transmission projects, the UNIHIKER K10 provides seamless integration of AI with wireless communication protocols.\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.dfrobot.com\/product-2691.html\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR0992\/6.jpg\" alt=\"UNIHIKER K10 Combine BT \u0026amp; Wi-Fi with AI to Create More Possibilities\" title=\"UNIHIKER K10 Combine BT \u0026amp; Wi-Fi with AI to Create More Possibilities\" data-merlin-processed=\"true\"\u003e\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eSupport the Internet of Things\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThe UNIHIKER K10 is designed with IoT applications in mind. It supports long-term data collection and remote monitoring, making it ideal for projects that require continuous data recording and analysis. With its rich set of sensors (temperature, humidity, light, accelerometer) and connectivity options (Wi-Fi, Bluetooth), users can easily integrate the UNIHIKER K10 into IoT ecosystems for real-time monitoring, remote device control, and data-driven applications.\u003c\/p\u003e\n\u003cp\u003ePair it with the\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/www.dfrobot.com\/product-2871.html\" target=\"_blank\"\u003eGravity: BME688 AI Environmental Sensor (VOC, Temperature, Humidity, Pressure)\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003eto create advanced air quality monitoring projects.\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.dfrobot.com\/product-2691.html\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR0992\/7.jpg\" alt=\"UNIHIKER K10 Support the Internet of Things\" title=\"UNIHIKER K10 Support the Internet of Things\" data-merlin-processed=\"true\"\u003e\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eBuilt-in 2.8-inch Color Screen for Data Visualization\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThe UNIHIKER K10 features a 2.8-inch color screen that enables users to visualize real-time data from sensors, AI models, and projects. This screen is ideal for displaying sensor readings, AI outputs, and project results directly on the board, providing immediate feedback.\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.dfrobot.com\/product-2691.html\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR0992\/8.jpg\" alt=\"UNIHIKER K10 Built-in 2.8-inch Color Screen for Data Visualization\" title=\"UNIHIKER K10 Built-in 2.8-inch Color Screen for Data Visualization\" data-merlin-processed=\"true\"\u003e\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eRich Interfaces and High Expandability\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eWith an array of I\/O ports, including USB Type-C, MicroSD, Gravity 3pin\/4pin, and edge connectors, the UNIHIKER K10 offers rich expandability for connecting additional sensors, actuators, and accessories.\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.dfrobot.com\/product-2691.html\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR0992\/9.jpg\" alt=\"UNIHIKER K10 Rich Interfaces and High Expandability\" title=\"UNIHIKER K10 Rich Interfaces and High Expandability\" data-merlin-processed=\"true\"\u003e\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eSupports Graphical and MicroPython Programming\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThe UNIHIKER K10 supports both graphical programming and MicroPython, catering to users at different skill levels. It is also compatible with Mind+, a drag-and-drop programming tool that simplifies coding with blocks. The graphical programming interface allows beginners to quickly build projects without needing to write code, while MicroPython offers a more advanced programming environment for experienced developers.\u003c\/p\u003e\n\u003cp\u003eThe tool also offers a variety of sample projects to help users get started, such as:\u003c\/p\u003e\nAI face detectionQR code scanningsensor control\n\u003cp\u003eFor more hands-on tutorials, visit the\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/www.unihiker.com\/wiki\/K10\/Examples\/examples_mindplus\/\" target=\"_blank\"\u003eExamples link\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003eto explore a wide range of projects. \u003c\/p\u003e\n\u003cp\u003eDownload Mind+ to get started:\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/mindplus.cc\/download-en.html\" target=\"_blank\"\u003eMind+ Download.\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.dfrobot.com\/product-2691.html\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR0992\/12.png\" alt=\"UNIHIKER K10 Supports Graphical and MicroPython Programming\" title=\"UNIHIKER K10 Supports Graphical and MicroPython Programming\" data-merlin-processed=\"true\"\u003e\u003c\/a\u003e\u003c\/p\u003e\n\u003cdiv class=\"content Applications\" id=\"Applications\"\u003e\n\u003ch4\u003eApplications:\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eAI Learning\u003c\/li\u003e\n\u003cli\u003eMachine Learning\u003c\/li\u003e\n\u003cli\u003eFace detection\u003c\/li\u003e\n\u003cli\u003eSpeech recognition\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"content Specification\" id=\"Specification\"\u003e\n\u003ch4\u003eSpecifications:\u003c\/h4\u003e\n\u003cdiv\u003e\n\u003cul\u003e\n\u003cli\u003eMCU: ESP32-S3 Xtensa LX7\u003c\/li\u003e\n\u003cli\u003eSRAM: 512KB\u003c\/li\u003e\n\u003cli\u003eFlash: 16MB\u003c\/li\u003e\n\u003cli\u003eWi-Fi: 2.4G\u003c\/li\u003e\n\u003cli\u003eBT: Bluetooth 5.0\u003c\/li\u003e\n\u003cli\u003eScreen: 2.8 inch, 240x320\u003c\/li\u003e\n\u003cli\u003eCamera: 2MP\u003c\/li\u003e\n\u003cli\u003eSensor: Button, Microphone, Temperature Sensor, Humidity Sensor, Light Sensor, Accelerometer Sensor\u003c\/li\u003e\n\u003cli\u003eActuator: RGB Lights, Speaker\u003c\/li\u003e\n\u003cli\u003ePre-Installed AI models:\u003cbr\u003e        Face Detection\u003cbr\u003e        Image Recognition\u003cbr\u003e        Cat\/Dog Detection\u003cbr\u003e        QR Code Recognition\u003cbr\u003e        Motion Detection\u003cbr\u003e        Local Speech Recognition\u003cbr\u003e        Custom Voice Commands\u003c\/li\u003e\n\u003cli\u003ePort: USB Type-C, MicroSD, Gravity 3pin\u0026amp;4pin port, 2pin ph2.0 battery port, Edge connector\u003c\/li\u003e\n\u003cli\u003ePower: USB Type-C, Battery Port, Edge Connector\u003c\/li\u003e\n\u003cli\u003eSize: 51.6mmx83mmx11mm\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"content Documents\" id=\"Documents\"\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"content ShippingList\" id=\"Shipping-List\"\u003e\n\u003ch4\u003eList:\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eUNIHIKER K10 x1\u003c\/li\u003e\n\u003cli\u003eType-C USB cable x1\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"DFRobot","offers":[{"title":"Default Title","offer_id":41205042151557,"sku":"DB-000086-DFR","price":33.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/K10.png?v=1767559078"},{"product_id":"gravity-offline-edge-ai-gesture-face-detection-sensor","title":"Gravity: Offline Edge AI Gesture \u0026 Face Detection Sensor","description":"\u003cdiv id=\"Introduction\" class=\"content Introduction\"\u003e\n\u003ch4\u003eIntroduction\u003c\/h4\u003e\n\u003cdiv\u003e\n\u003cp\u003eThe Gravity: Offline Edge AI Gesture \u0026amp; Face Detection Sensor is designed for intuitive gesture control and multi-person presence detection. Equipped with an integrated camera and onboard AI processor, the sensor can\u003cspan\u003e \u003c\/span\u003e\u003cb\u003erecognize 5 predefined hand gestures and detect up to 10 faces or upper-body presences simultaneously within a 3-meter range\u003c\/b\u003e. By combining computer vision and real-time edge AI computing, it delivers responsive and private interaction without cloud dependency.\u003c\/p\u003e\n\u003cp\u003eFeaturing dual communication interfaces (I2C and UART) and wide voltage support (3.3V–5V), this module is fully compatible with\u003cspan\u003e \u003c\/span\u003eArduino,\u003cspan\u003e \u003c\/span\u003eRaspberry Pi,\u003cspan\u003e \u003c\/span\u003eESP32 and graphical platforms like MakeCode and\u003cspan\u003e \u003c\/span\u003eMind+. It is ideally suited for smart home interfaces, touchless control systems, public interaction devices, and privacy-focused\u003cspan\u003e \u003c\/span\u003eIoT\u003cspan\u003e \u003c\/span\u003esolutions.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eEdge AI Processing – Real-Time, Offline, and Privacy-Safe\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eAll recognition tasks are handled locally by the onboard AI processor—no data is stored or transmitted to the cloud. This completely offline operation guarantees data privacy, making it ideal for sensitive scenarios such as hospital automation, bathroom controls, children’s systems, or public restrooms. Despite its powerful capabilities, it consumes only 100mA (typical), suitable for power-sensitive or standalone applications.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/SEN0626\/1%20(1).png\" alt=\"Edge AI Processing – Real-Time and Offline\" title=\"Edge AI Processing – Real-Time and Offline\"\u003e\u003c\/p\u003e\n\u003cp\u003eFigure: Edge AI Processing – Real-Time and Offline\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eRecognizes 5 Intuitive Hand Gestures – Touchless Control Made Easy\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThe AI gesture and face detection sensor supports recognition of five intuitive hand gestures—including thumbs up, peace sign, and open palm—within a 0.5 to 3 meter range. Each gesture triggers a distinct RGB indicator, enhancing interaction feedback and simplifying development. Ideal for smart appliances, gesture-activated lights, assistive devices, and public kiosks.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/SEN0626\/5%20gestures.jpg\" alt=\"Recognizes Five Intuitive Gestures\" title=\"Recognizes Five Intuitive Gestures\"\u003e\u003c\/p\u003e\n\u003cp\u003eFigure: Recognizes Five Intuitive Gestures\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e\u003cbr\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eWide Detection Range with Optimized Field of View\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eWith an\u003cspan\u003e \u003c\/span\u003e\u003cb\u003e85° diagonal field of view\u003c\/b\u003e\u003cspan\u003e \u003c\/span\u003eand\u003cspan\u003e \u003c\/span\u003e\u003cb\u003eup to 3 meters detection range\u003c\/b\u003e, the AI gesture and face detection sensor ensures consistent performance whether installed on walls, ceilings, or desks. Its wide coverage allows use in compact enclosures, hallways, or open rooms, serving multi-user environments such as classrooms, conference areas, or interactive displays.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/SEN0626\/1%20(3).png\" alt=\"Offline gesture recognition sensor with 3m detection range\" title=\"Offline gesture recognition sensor with 3m detection range\"\u003e\u003c\/p\u003e\n\u003cp\u003eFigure: Offline Gesture \u0026amp; Face Detection Sensor with 3m detection range\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eUpper-Body and Face Detection with Real-Time Count\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eBeyond gesture control, the sensor detects head-and-shoulder patterns and can recognize up to\u003cspan\u003e \u003c\/span\u003e\u003cb\u003e10 human presences or faces simultaneously\u003c\/b\u003e, providing position and count output in real time. Perfect for occupancy-based HVAC, lighting automation, and people counting in offices, shops, and smart spaces—all with full offline privacy assurance.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/SEN0626\/1%20(4).png\" alt=\"Upper-Body Detection and Presence Sensing\" title=\"Upper-Body Detection and Presence Sensing\"\u003e\u003c\/p\u003e\n\u003cp\u003eFigure: Upper-Body Detection and Presence Sensing\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"Features\" class=\"content Features\"\u003e\n\u003cdiv id=\"Features\" class=\"content Features\"\u003e\n\u003ch4\u003eFeatures\u003c\/h4\u003e\n\u003cdiv\u003e\n\u003cul\u003e\n\u003cli\u003eOffline AI gesture \u0026amp; face detection with fast, accurate response\u003c\/li\u003e\n\u003cli\u003eHigh-sensitivity detection of five hand gestures\u003c\/li\u003e\n\u003cli\u003eReliable face and body presence detection up to 3 meters\u003c\/li\u003e\n\u003cli\u003eSimultaneous recognition of up to 10 faces or upper-body presences\u003c\/li\u003e\n\u003cli\u003eDual communication interfaces: I2C and UART\u003c\/li\u003e\n\u003cli\u003eCompatible with both 3.3V and 5V systems\u003c\/li\u003e\n\u003cli\u003eSupports graphical coding environments including MakeCode and Mind+\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"Applications\" class=\"content Applications\"\u003e\n\u003ch4\u003eApplications\u003c\/h4\u003e\n\u003cdiv\u003e\n\u003cul\u003e\n\u003cli\u003eWireless Smart Home Gesture Controller System\u003c\/li\u003e\n\u003cli\u003eGesture-Enabled Remote Control Systems for Healthcare\u003c\/li\u003e\n\u003cli\u003eInteractive Art Device\u003c\/li\u003e\n\u003cli\u003eSmart People Counting Device\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cbr\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/SEN0626\/1%20(5).png\" alt=\"Applications of Gravity: Offline Edge AI Gesture \u0026amp; Face Detection Sensor\" title=\"Applications of Gravity: Offline Edge AI Gesture \u0026amp; Face Detection Sensor\"\u003e\u003c\/p\u003e\n\u003cp\u003eFigure: Applications of Gravity: Offline Edge AI Gesture \u0026amp; Face Detection Sensor\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"Specification\" class=\"content Specification\"\u003e\n\u003ch4\u003eSpecification\u003c\/h4\u003e\n\u003cdiv\u003e\n\u003cp\u003e\u003cstrong\u003eElectrical Specifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eOperating Voltage: 3.3V – 5V\u003c\/li\u003e\n\u003cli\u003eLogic Level Voltage: 3.3V\u003c\/li\u003e\n\u003cli\u003eCurrent Consumption: 100mA\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eCommunication \u0026amp; Interface\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eConnector Type: PH2.0-4P \/ 2.54mm pin header\u003c\/li\u003e\n\u003cli\u003eCommunication Protocols: I2C \/ UART\u003c\/li\u003e\n\u003cli\u003eI2C Address: 0x72\u003c\/li\u003e\n\u003cli\u003eDefault UART Baud Rate: 9600bps\u003c\/li\u003e\n\u003cli\u003eUART Protocol: Modbus\u003c\/li\u003e\n\u003cli\u003eInterrupt Output: 2.54mm pin header\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eRecognition Capabilities\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSupported Gesture Types (5):\u003cbr\u003e       Thumbs up\u003cbr\u003e       Extend the middle, ring, and little fingers\u003cbr\u003e       Open palm facing outward\u003cbr\u003e       Extend the index and middle fingers\u003cbr\u003e       Extend the thumb and little finger\u003c\/li\u003e\n\u003cli\u003eMaximum Recognizable Faces \u0026amp; Head-Shoulder Count: 10\u003c\/li\u003e\n\u003cli\u003eDetection Area for Face \u0026amp; Shoulders: Recognizes upper-body presence within camera range\u003c\/li\u003e\n\u003cli\u003eFace Recognition Confidence Score: 0 – 100\u003c\/li\u003e\n\u003cli\u003ePosition Coordinate Output: Supported\u003c\/li\u003e\n\u003cli\u003eGesture Recognition Distance: 0.5m – 3m\u003c\/li\u003e\n\u003cli\u003eFace Recognition Distance: 0.5m – 3m\u003c\/li\u003e\n\u003cli\u003eCamera Field of View (FoV): 85° (diagonal)\u003c\/li\u003e\n\u003cli\u003eCamera Focal Length: 1.56mm\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eVisual Indicators\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eGesture Recognition RGB Indicator:\u003cbr\u003e       Blue: Thumbs up\u003cbr\u003e       Green: Extend the middle, ring, and little fingers\u003cbr\u003e       Red: Open palm outward\u003cbr\u003e       Yellow: Extend the index and middle fingers\u003cbr\u003e       Purple: Extend the thumb and little finger\u003c\/li\u003e\n\u003cli\u003ePresence Detection LED: Illuminates when a person is detected, turns off when no presence is detected\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eMechanical Dimensions\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003ePCB Dimensions: 42mm × 32mm\u003c\/li\u003e\n\u003cli\u003eMounting Hole Spacing: 25mm × 35mm\u003c\/li\u003e\n\u003cli\u003eMounting Hole Diameter: 3.1mm\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"DFRobot","offers":[{"title":"Default Title","offer_id":41205044805765,"sku":"DB-000087-DFR","price":17.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/31.jpg?v=1767559089"},{"product_id":"esp32-s3-ai-camera-module","title":"ESP32-S3 AI Camera Module","description":"\u003cdiv class=\"content Introduction\" id=\"Introduction\"\u003e\n\u003ch4\u003eIntroduction\u003c\/h4\u003e\n\u003cdiv\u003e\n\u003cp\u003eThe ESP32-S3 AI Camera is a cutting-edge intelligent camera module built around the high-performance ESP32-S3 chip, designed for\u003cspan\u003e \u003c\/span\u003e\u003cb\u003eefficient video processing, edge AI, and voice interaction.\u003cspan\u003e \u003c\/span\u003e\u003c\/b\u003eFeaturing a wide-angle infrared camera, onboard microphone, and speaker, it is ideally suited for applications such as electronic peepholes, baby monitors, and license plate recognition. With powerful AI processing capabilities, it integrates seamlessly into IoT ecosystems, supporting\u003cspan\u003e \u003c\/span\u003e\u003cb\u003eedge image recognition\u003c\/b\u003e\u003cspan\u003e \u003c\/span\u003eand online\u003cspan\u003e \u003c\/span\u003e\u003cb\u003eAI model interaction\u003cspan\u003e \u003c\/span\u003e\u003c\/b\u003ethrough Wi-Fi connectivity, making it an essential component for IoT applications, from security surveillance to AI assistants.\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eIntelligent AI Processing and Edge Computing\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThe ESP32-S3 AI CAM utilizes the powerful neural network capabilities of the ESP32-S3 chip for\u003cspan\u003e \u003c\/span\u003e\u003cb\u003eedge-based image recognition\u003c\/b\u003e\u003cspan\u003e \u003c\/span\u003ewith platforms like Edge Impulse, YOLOv5, and OpenCV. It supports efficient on-device processing for tasks such as object detection and image classification, while integration with ChatGPT enables voice-controlled command execution. This combination of local AI processing and cloud-based model access makes the module ideal for a wide range of\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/www.dfrobot.com\/topic-276.html\" target=\"_blank\"\u003eIoT\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003eapplications.\u003c\/p\u003e\n\u003cp\u003eTo ensure easy integration, the ESP32-S3 AI CAM comes with extensive tutorials, documentation, and sample code:\u003c\/p\u003e\n\u003cbr\u003e\n\u003cp\u003e\u003cimg data-merlin-processed=\"true\" title=\"ESP32-S3 AI CAM Key Feature 1: Intelligent AI Processing and Edge Computing\" alt=\"ESP32-S3 AI CAM Key Feature 1: Intelligent AI Processing and Edge Computing\" src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR1154\/Intelligent%20AI%20Processing%20and%20Edge%20Computing.webp\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eIntegrated Voice Interaction for Enhanced Usability\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThe onboard microphone and amplifier support\u003cspan\u003e \u003c\/span\u003e\u003cb\u003evoice recognition (ASR\u003c\/b\u003e) and\u003cspan\u003e \u003c\/span\u003e\u003cb\u003einteractive dialogue\u003c\/b\u003e\u003cspan\u003e \u003c\/span\u003epowered by\u003cspan\u003e \u003c\/span\u003e\u003cb\u003eChatGPT\u003c\/b\u003e, enabling intuitive voice commands and real-time interaction. This integration allows for\u003cspan\u003e \u003c\/span\u003e\u003cb\u003esmart automation\u003c\/b\u003e\u003cspan\u003e \u003c\/span\u003ein IoT devices, simplifying control and enhancing user experience. With voice recognition capabilities, the ESP32-S3 AI CAM opens up possibilities for voice-activated smart assistants, AI-controlled surveillance, and hands-free device management.\u003c\/p\u003e\n\u003cp\u003e\u003cimg data-merlin-processed=\"true\" title=\"ESP32-S3 AI CAM Key Feature 2: Integrated Voice Interaction for Enhanced Usability\" alt=\"ESP32-S3 AI CAM Key Feature 2: Integrated Voice Interaction for Enhanced Usability\" src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR1154\/Integrated%20Voice%20Interaction%20for%20Enhanced%20Usability.webp\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eNight Vision for All-Day Monitoring\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eEquipped with a 160° wide-angle infrared camera and\u003cb\u003e\u003cspan\u003e \u003c\/span\u003einfrared illumination,\u003c\/b\u003e\u003cspan\u003e \u003c\/span\u003ethe ESP32-S3 AI CAM ensures exceptional image quality even in low-light or complete darkness. The module’s light sensor further enhances adaptability, making it an ideal choice for\u003cspan\u003e \u003c\/span\u003e\u003cb\u003e24\/7 monitoring\u003c\/b\u003e\u003cspan\u003e \u003c\/span\u003ein applications like baby monitoring, security surveillance, and smart home systems. Its ability to perform in all weather and lighting conditions makes it a reliable solution for around-the-clock surveillance.\u003c\/p\u003e\n\u003cp\u003e\u003cimg data-merlin-processed=\"true\" title=\"ESP32-S3 AI CAM Key Feature 3: Night Vision for All-Day Monitoring\" alt=\"ESP32-S3 AI CAM Key Feature 3: Night Vision for All-Day Monitoring\" src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR1154\/Night%20Vision%20for%20All-Day%20Monitoring.webp\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eWireless Transmission Support: Wi-Fi \u0026amp; BLE 5\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThe ESP32-S3 AI Camera Module is equipped with Wi-Fi and BLE 5 connectivity, enabling seamless remote monitoring from your mobile devices or other connected equipment. Whether you're at home or on the go, you can easily access live video feeds and manage your monitoring system remotely. This wireless transmission capability expands the flexibility of the module, making it an ideal solution for applications requiring real-time surveillance and control, such as home security and smart automation.\u003c\/p\u003e\n\u003cp\u003e\u003cimg data-merlin-processed=\"true\" title=\"ESP32-S3 AI CAM Key Feature 4: Wireless Transmission Support Wi-Fi \u0026amp; BLE 5\" alt=\"ESP32-S3 AI CAM Key Feature 4: Wireless Transmission Support Wi-Fi \u0026amp; BLE 5\" src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR1154\/Wireless%20Transmission%20Support.webp\"\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"content Features\" id=\"Features\"\u003e\n\u003ch4\u003eFeatures\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eVarious AI capabilities\u003cbr\u003e          Edge image recognition (based on EdgeImpulse)\u003cbr\u003e          Online image recognition (openCV, YOLO)\u003cbr\u003e          Online large models for voice and image (ChatGPT)\u003c\/li\u003e\n\u003cli\u003eEquipped with a wide-angle night vision camera, infrared illumination, and all-day usability\u003c\/li\u003e\n\u003cli\u003eOnboard microphone and amplifier for voice interaction\u003c\/li\u003e\n\u003cli\u003eOffers a variety of AI models, with tutorial support for quick learning\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003eApplications\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eElectronic peepholes\u003c\/li\u003e\n\u003cli\u003eLicense plate recognition\u003c\/li\u003e\n\u003cli\u003eAI Robot Toy\u003c\/li\u003e\n\u003cli\u003eSmart Glasses\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv id=\"Applications\" class=\"content Applications\"\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR1154\/Applications.webp\" alt=\"Applications of ESP32-S3 AI CAM\" title=\"Applications of ESP32-S3 AI CAM\" data-merlin-processed=\"true\"\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"Specification\" class=\"content Specification\"\u003e\n\u003ch4\u003eSpecifications:\u003c\/h4\u003e\n\u003cp\u003eBasic Parameters\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eOperating Voltage: 3.3V\u003c\/li\u003e\n\u003cli\u003eType-C Input Voltage: 5V DC\u003c\/li\u003e\n\u003cli\u003eVIN Input Voltage: 5-12V DC\u003c\/li\u003e\n\u003cli\u003eOperating Temperature: -10~60°C\u003c\/li\u003e\n\u003cli\u003eModule Size: 42*42mm\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eFunctional Indicators:\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR1154\/FUNCTION%20INDICATOR%20DIAGRAM.jpg\" alt=\"ESP32-S3 AI Camera Function Indicator Diagram\" title=\"ESP32-S3 AI Camera Function Indicator Diagram\" data-merlin-processed=\"true\"\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eOV3660: 160° wide-angle infrared camera\u003c\/li\u003e\n\u003cli\u003eIR: Infrared illumination (IO47)\u003c\/li\u003e\n\u003cli\u003eMIC: I2S PDM microphone\u003c\/li\u003e\n\u003cli\u003eLED: Onboard LED (IO3)\u003c\/li\u003e\n\u003cli\u003eALS: LTR-308 ambient light sensor\u003c\/li\u003e\n\u003cli\u003eESP32-S3: ESP32-S3R8 chip\u003c\/li\u003e\n\u003cli\u003eSD: SD card slot\u003c\/li\u003e\n\u003cli\u003eFlash: 16MB Flash\u003c\/li\u003e\n\u003cli\u003eVIN: 5-12V DC input\u003c\/li\u003e\n\u003cli\u003eHM6245: Power chip\u003c\/li\u003e\n\u003cli\u003eType-C: USB Type-C interface for power and code uploading\u003c\/li\u003e\n\u003cli\u003eGravity\u003cbr\u003e          +: 3.3-5V\u003cbr\u003e          -: GND\u003cbr\u003e          44: IO44\/TX\u003cbr\u003e          43: IO43\/RX\u003c\/li\u003e\n\u003cli\u003eRST: Reset button\u003c\/li\u003e\n\u003cli\u003eBOOT: BOOT button (IO0)\u003c\/li\u003e\n\u003cli\u003eSPK: MX1.25-2P speaker interface\u003c\/li\u003e\n\u003cli\u003eMAX98357: I2S amplifier chip\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eCamera Specifications\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSensor Model: OV3660\u003c\/li\u003e\n\u003cli\u003ePixels: 2 Megapixels\u003c\/li\u003e\n\u003cli\u003eSensitivity: Visible light, 940nm infrared\u003c\/li\u003e\n\u003cli\u003eField of View: 160°\u003c\/li\u003e\n\u003cli\u003eFocal Length (EFL): 0.95\u003c\/li\u003e\n\u003cli\u003eAperture (F\/No.): 2.0±5%\u003c\/li\u003e\n\u003cli\u003eDistortion: ＜8%\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003eList\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eESP32-S3 AI CAM development board (with camera) x1\u003c\/li\u003e\n\u003cli\u003eSpeaker x1\u003c\/li\u003e\n\u003cli\u003eGravity-4P I2C\/UART sensor connection cable x1\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"DFRobot","offers":[{"title":"Default Title","offer_id":41205049393285,"sku":"DB-000085-DFR","price":21.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/1_a0e41a9d-4d14-435b-acb9-423198cdc64b.jpg?v=1767559094"},{"product_id":"gravity-huskylens-ai-camera-vision-sensor","title":"Gravity: Huskylens AI Camera | Vision Sensor","description":"\u003cp\u003eHuskylens is an easy-to-use AI Camera |\u003cspan\u003e \u003c\/span\u003eVision Sensor. DFrobot Huskylens is equipped with multiple functions, such as face recognition, object tracking, object recognition, line tracking, color recognition, and tag(QR code) recognition.\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/SEN0305\/1.jpg\"\u003e\u003c\/p\u003e\n\u003cp\u003eThrough the UART \/ I2C port, HuskyLens can connect popular main control boards like\u003cspan\u003e \u003c\/span\u003eArduino,\u003cspan\u003e \u003c\/span\u003emicro: bit,\u003cspan\u003e \u003c\/span\u003eRaspberry Pi\u003cspan\u003e \u003c\/span\u003eand\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/www.dfrobot.com\/category-175.html\" target=\"_blank\"\u003eLattePanda\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003eto help you make very creative projects without playing with complex algorithms.\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/SEN0305\/2.jpg\"\u003e\u003c\/p\u003e\n\u003cp\u003eHuskylens is pretty easy-to-use AI Camera. You can change various algorithms by pressing the function button. Click the learning button, Husky lens starts learning new things. After that, HuskyLens is able to recognize them.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eAdditionally, HuskyLens carries a 2.0 inch IPS screen. So you don’t need to use a PC in the parameters tuning. Enjoy the convenience it brings, what you see is what you get! \u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/SEN0305\/20200225%20Update\/1.png\"\u003e\u003c\/p\u003e\n\u003cp\u003eHuskyLens AI Camera is designed to be smart. It has the built-in machine learning technology that enables HuskyLens to recognize faces and objects. Moreover, by long-pressing the learning button, HuskyLens can continually learn new things even from different angles and in various ranges. The more it learns, the more accurate it is. \u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/SEN0305\/gif.gif\"\u003e\u003c\/p\u003e\n\u003cp\u003eDFRobot Huskylens adopts the new generation of specialized AI chip Kendryte K210. The performance of this special AI chip is 1,000 times faster than that of the STM32H743 when running a neural network algorithm. With these excellent performances, it is capable of capturing even fast-moving objects.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eWith the HuskyLens, your projects have new ways to interact with you or the environment, such as interactive gesture control, autonomous robot, smart access control, and interactive toy. There are so many new applications for you to explore.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/SEN0305\/4.jpg\"\u003e\u003c\/p\u003e\n\u003cp\u003eHuskylens' object-tracking skills can be used to learn specific gestures. It is able to recognize those learned hand movement patterns and feed their positions. With these data, creating awesome interactive projects are never so easy.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/SEN0305\/5.jpg\"\u003e\u003c\/p\u003e\n\u003cp\u003eHuskylens vision sensor can detect and follow lines. Line follower is not something new, there are plenty of excellent methods and algorithms in this scenario. However, most of them require tedious parameters tuning. This time, HuskyLens provides a new way to do line following: simply click the button, then it starts learning and tracking new lines. Let's enjoy the fun of making with HuskyLens!\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/SEN0305\/6.jpg\"\u003e\u003c\/p\u003e\n\u003cp\u003eHusky lens machines can be the eyes of robots. which allows your robot to recognize you, understand your hand gesture commands, or help you put stuff in order, and so on. With Huskylens, nothing is impossible!\u003c\/p\u003e\n\u003ch4\u003eSpecifications:\u003c\/h4\u003e\n\u003cdiv\u003e\n\u003cul class=\"list-paddingleft-2\"\u003e\n\u003cli\u003eProcessor: Kendryte K210\u003c\/li\u003e\n\u003cli\u003eImage Sensor: OV2640 (2.0Megapixel Camera)\u003c\/li\u003e\n\u003cli\u003eSupply Voltage: 3.3~5.0V\u003c\/li\u003e\n\u003cli\u003eCurrent Consumption (TYP): 320mA@3.3V, 230mA@5.0V (face recognition mode; 80% backlight brightness; fill light off)\u003c\/li\u003e\n\u003cli\u003eConnection Interface: UART, I2C\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003eDisplay: 2.0-inch IPS screen with 320*240 resolution\u003c\/li\u003e\n\u003cli\u003eBuilt-in Algorithms: Face Recognition, Object Tracking, Object Recognition, Line Tracking, Color Recognition, Tag Recognition \u003c\/li\u003e\n\u003cli\u003eDimension: 52mm * 44.5mm \/ 2.05 x 1.75inch\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003eList:\u003c\/h4\u003e\n\u003cdiv\u003e\n\u003cul class=\"list-paddingleft-2\"\u003e\n\u003cli\u003eHuskyLens Mainboard x1\u003c\/li\u003e\n\u003cli\u003eM3 Screws x6\u003c\/li\u003e\n\u003cli\u003eM3 Nuts x6\u003c\/li\u003e\n\u003cli\u003eSmall Mounting Bracket x1\u003c\/li\u003e\n\u003cli\u003eHeightening Bracket x1\u003c\/li\u003e\n\u003cli\u003eGravity 4-Pin Sensor Cable x1\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"DFRobot","offers":[{"title":"Default Title","offer_id":41205049557125,"sku":"DB-000084-DFR","price":44.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/1_2c1fce8a-c15d-4af7-b524-2cff6eb5da64.jpg?v=1767559100"},{"product_id":"2mp-1-2-7-aperture-f0-95-4mm-cctv-camera-lens","title":"2MP 1\/2.7\" Aperture F0.95 4mm CCTV Camera Lens","description":"\u003ch3 data-spm-anchor-id=\"a2g0o.detail.1000023.i0.74162Ttr2TtrqY\"\u003eSpecifications:\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli data-spm-anchor-id=\"a2g0o.detail.1000023.i0.74162Ttr2TtrqY\"\u003eLens Type: Manual\u003c\/li\u003e\n\u003cli data-spm-anchor-id=\"a2g0o.detail.1000023.i0.74162Ttr2TtrqY\"\u003eResolution: 2MP\u003c\/li\u003e\n\u003cli data-spm-anchor-id=\"a2g0o.detail.1000023.i0.74162Ttr2TtrqY\"\u003eAperture: F0.95 +-5%\u003c\/li\u003e\n\u003cli data-spm-anchor-id=\"a2g0o.detail.1000023.i0.74162Ttr2TtrqY\"\u003eFormat: 1\/2.7\"\u003c\/li\u003e\n\u003cli data-spm-anchor-id=\"a2g0o.detail.1000023.i0.74162Ttr2TtrqY\"\u003eLens Holder: Yes, pitch 20mm\u003c\/li\u003e\n\u003cli data-spm-anchor-id=\"a2g0o.detail.1000023.i0.74162Ttr2TtrqY\"\u003eIris: Fixed\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-spm-anchor-id=\"a2g0o.detail.1000023.i0.74162Ttr2TtrqY\"\u003eFeatures: \u003c\/h3\u003e\n\u003col\u003e\n\u003cli data-spm-anchor-id=\"a2g0o.detail.1000023.i0.74162Ttr2TtrqY\"\u003e\n\u003cstrong\u003eOptimized for Low-Light Conditions: \u003c\/strong\u003eThe 2MP 1\/2.7\" Aperture F0.95 4mm or 6mm CCTV camera lens is designed to capture high-quality images in challenging lighting conditions. With an aperture of F0.95, this lens allows for a significant amount of light to enter, ensuring clear and detailed footage even in starlight and black light environments. The fixed iris design simplifies operation, making it ideal for security camera installations where ease of use is paramount.\u003c\/li\u003e\n\u003cli data-spm-anchor-id=\"a2g0o.detail.1000023.i0.74162Ttr2TtrqY\"\u003e\n\u003cstrong\u003eVersatile Compatibility and Installation: \u003c\/strong\u003eThis lens is compatible with a range of CCTV cameras, including AHD, TVI, CVI, and CVBS 4in1, with default AHD support. It comes with a lens holder, pitch 20mm, which ensures a secure fit for various camera models. The lens is suitable for use with a variety of image sensors, such as the NVP2441H+IMX291, FH8550M+IMX327, and NVP2450H+IMX327, among others. It is also compatible with IP cameras, such as the HI3516E+IMX307, which supports H.265 compression for efficient video transmission.\u003c\/li\u003e\n\u003cli data-spm-anchor-id=\"a2g0o.detail.1000023.i0.74162Ttr2TtrqY\"\u003e\n\u003cstrong\u003eDiverse Application Scenarios:\u003c\/strong\u003e Whether you're looking to enhance the surveillance of your home, office, or public space, this lens is designed to meet the needs of various scenarios. It is particularly suitable for objective fiction production, where high-quality images are crucial for storytelling. The lens's versatility extends to the camera setup used by popular content creators like Shrouds, making it a valuable addition to any security or filming setup. With its compact size and lightweight design, it can be easily mounted on a variety of cameras, ensuring a seamless integration into your existing security or filming system.\u003c\/li\u003e\n\u003c\/ol\u003e","brand":"Robot Pi Shop","offers":[{"title":"Default Title","offer_id":41347512762501,"sku":"SN-000219-DVR","price":14.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/10_935a50d8-2892-41a5-bee7-8efdaa934a85.png?v=1767559681"},{"product_id":"offline-ai-binocular-3d-vision-recognition-sensor-face-palm-vein-qr-code","title":"Offline AI Binocular 3D Vision Recognition Sensor (Face \/ Palm Vein \/ QR Code)","description":"\u003ch4\u003eIntroduction\u003c\/h4\u003e\n\u003cdiv\u003e\n\u003cp\u003eThis AI binocular vision sensor is a standalone, multi-modal recognition module engineered for high-security and versatile identity authentication. It operates on a powerful onboard AI processor, utilizing dual color and infrared cameras to perform all computations locally. The core of its functionality lies in its three-in-one identification capability, integrating\u003cspan\u003e \u003c\/span\u003e\u003cb\u003erobust Face Recognition, secure Palm Vein Recognition, and universal QR Code scanning\u003c\/b\u003e\u003cspan\u003e \u003c\/span\u003einto a single, compact device. Key features include advanced 3D Liveness Detection for anti-spoofing, complete offline AI processing that eliminates any computational load on the host system, and\u003cspan\u003e \u003c\/span\u003e\u003cb\u003elocal storage for up to 1,000 users\u003c\/b\u003e. With its simple UART interface, this offline AI vision sensor is ideal for rapid integration into applications such as secure access control, smart home systems, and automated retail terminals.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/SEN0677\/4_0x0.jpg.webp\" alt=\"AI Binocular Vision Sensor detect Face \u0026amp; Palm Vein\" title=\"AI Binocular Vision Sensor detect Face \u0026amp; Palm Vein\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eHigh-Security Biometrics with 3D Liveness Detection\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eSecurity is paramount in authentication systems. This face recognition sensor employs a binocular camera system (RGB + Infrared) to capture 3D depth information, enabling a sophisticated liveness detection algorithm. This technology effectively distinguishes a live person from a 2D representation, providing robust protection against spoofing attempts using photos or videos. With a Face Recognition\u003cspan\u003e \u003c\/span\u003e\u003cb\u003eFalse Acceptance Rate (FAR) as low as 0.001%\u003c\/b\u003e, the module delivers a level of security suitable for critical access control applications.\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eVersatile 3-in-1 Recognition Capability\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThe AI binocular vision sensor offers unparalleled flexibility by combining three distinct recognition methods. The deep learning-based face recognition provides fast, contactless access. For enhanced security, the palm vein and palm print recognition algorithm identifies the unique subcutaneous vein patterns, a biometric marker that is extremely difficult to replicate. Finally, the integrated QR code decoding offers a convenient solution for granting temporary access, processing payments, or device pairing, making the sensor adaptable to a wide range of operational requirements.\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003ePowerful On-Module Offline AI Processing\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eEquipped with a dedicated System-on-Chip (SoC) featuring a 0.5 TOPS Neural Processing Unit (NPU), the AI vision camera handles all complex AI algorithms internally. This \"edge computing\" design means it requires zero computational resources from the host device, allowing it to be controlled by any microcontroller, including basic models like an\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/robotpishop.com\/products\/arduino-uno-r3-atmega-328p-development-board\" rel=\"noopener\" target=\"_blank\"\u003eArduino Uno\u003c\/a\u003e. All user data, including\u003cspan\u003e \u003c\/span\u003e\u003cb\u003e1,000 face and 1,000 palm vein templates\u003c\/b\u003e, is stored and processed locally, ensuring system performance, data privacy, and functionality even without a network connection.\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eSeamless Integration via UART \u0026amp; USB\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eDesigned for ease of implementation, the binocular camera communicates recognition results through a simple UART serial protocol, making it straightforward to integrate into both new and existing product designs. Furthermore, the USB interface supports the UVC (USB Video Class) protocol, allowing the module to stream video like a standard webcam. This dual functionality is invaluable for applications requiring video feeds for monitoring, visual confirmation, or building video intercom systems.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/SEN0677\/1_0x0.jpg.webp\" alt=\"AI binocular vision recognition sensor hardware composition diagram\" title=\"AI binocular vision recognition sensor hardware composition diagram\"\u003e\u003c\/p\u003e\n\u003cp\u003eFigure: AI binocular vision recognition sensor hardware composition diagram\u003cbr\u003e\u003c\/p\u003e\n\u003cdiv id=\"Features\" class=\"content Features\"\u003e\n\u003ch4\u003eFeatures\u003c\/h4\u003e\n\u003cdiv\u003e\n\u003cul\u003e\n\u003cli\u003eBinocular 3D liveness detection resists spoofing via photos\/videos\u003c\/li\u003e\n\u003cli\u003eNeural network-based algorithms: face recognition, palm vein recognition, QR code decoding\u003c\/li\u003e\n\u003cli\u003eLocal storage: 1,000 faces + 1,000 palm vein templates\u003c\/li\u003e\n\u003cli\u003eOperates in complete darkness and non-direct sunlight outdoors\u003c\/li\u003e\n\u003cli\u003eZero host-computation requirement; all AI processing occurs offline on-module\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"Applications\" class=\"content Applications\"\u003e\n\u003ch4\u003eApplications\u003c\/h4\u003e\n\u003cdiv\u003e\n\u003cul\u003e\n\u003cli\u003eSmart home systems\u003c\/li\u003e\n\u003cli\u003eSmart door locks\u003c\/li\u003e\n\u003cli\u003eSelf-service retail payment terminals\u003c\/li\u003e\n\u003cli\u003e3D face\/palm vein payment systems\u003c\/li\u003e\n\u003cli\u003ePalm vein authentication systems\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003eSpecification\u003c\/h4\u003e\n\u003cdiv\u003e\n\u003cp\u003e\u003cstrong\u003eHardware Parameters\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSoC: Arm CPU@900MHz, NPU@0.5TOPS, RISC-V@600MHz\u003c\/li\u003e\n\u003cli\u003eDDR2: 64MB\u003c\/li\u003e\n\u003cli\u003eFlash: 32MB\u003c\/li\u003e\n\u003cli\u003eCameras: Dual 1\/5” CMOS, 2MP, dual MIPI interfaces\u003c\/li\u003e\n\u003cli\u003eLens: FOV: 83° diagonal; optimal focus: 60cm\u003c\/li\u003e\n\u003cli\u003eLED: IR@850nm, RGB@650nm (90° illumination)\u003c\/li\u003e\n\u003cli\u003eUSB: UVC video transmission (expandable to UAC); MJPEG output (H.264\/YUY2 expandable)\u003c\/li\u003e\n\u003cli\u003eCommunication: UART@115200 baud\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003ePower Parameters\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSupply voltage: 5-12V\u003c\/li\u003e\n\u003cli\u003eOperating current: 320-330mA@8V\u003c\/li\u003e\n\u003cli\u003eStandby current: 120–130mA (auto-detection mode)\u003c\/li\u003e\n\u003cli\u003eShutdown current: 0µA (non-auto-detection mode)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eOther Parameters\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eOperating temperature: -20°C to +60°C\u003c\/li\u003e\n\u003cli\u003eStorage temperature: -30°C to +70°C\u003c\/li\u003e\n\u003cli\u003eHumidity: 10–93% RH (non-condensing)\u003c\/li\u003e\n\u003cli\u003eAudio I\/O: Expandable (speaker\/microphone)\u003c\/li\u003e\n\u003cli\u003eBoot time: 900ms–2.5s (varies with stored user count)\u003c\/li\u003e\n\u003cli\u003eUser capacity: 1,000 faces; 1,000 palm veins\u003c\/li\u003e\n\u003cli\u003eAlgorithms: Binocular liveness detection, deep learning face recognition, palm vein recognition, QR code recognition\u003c\/li\u003e\n\u003cli\u003eLiveness metrics:\u003c\/li\u003e\n\u003cli\u003eFAR (False Acceptance Rate) ≤1%\u003c\/li\u003e\n\u003cli\u003eFRR (False Rejection Rate) ≤1%\u003c\/li\u003e\n\u003cli\u003eFace recognition:\u003c\/li\u003e\n\u003cli\u003ePass rate: 98.85%\u003c\/li\u003e\n\u003cli\u003eFAR: 0.001%\u003c\/li\u003e\n\u003cli\u003eRecognition angle: ±20° pitch\/yaw; supports multi-angle enrollment\u003c\/li\u003e\n\u003cli\u003eDetection range: Face: 30–120 cm, palm vein \/ QR code: 15cm\u003c\/li\u003e\n\u003cli\u003eDimensions: 57.8×20×10.12mm\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eShipping List:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAI Binocular Vision Recognition Sensor (Face \u0026amp; Palm Vein \u0026amp; QR Code) ×1\u003c\/li\u003e\n\u003cli\u003e1.25mm 4-pin to Dupont female connector cable ×1\u003c\/li\u003e\n\u003cli\u003eUSB data cable ×1\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"DFRobot","offers":[{"title":"Default Title","offer_id":41405339271301,"sku":"SN-000224-DFR","price":64.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/OfflineAI3Dvisionmodule.png?v=1767559895"},{"product_id":"oak-d-lite-ov7251-2-and-imx214-and-intel-movidius-myriad-x-for-depth-ai-oak","title":"OAK-D-Lite: OV7251×2 and IMX214 and Intel Movidius Myriad X for Depth AI OAK","description":"\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eDepth camera: OV7251\u003c\/li\u003e\n\u003cli\u003eColor camera: IMX214\u003c\/li\u003e\n\u003cli\u003eAI chip: Intel Myriad X 4T\u003c\/li\u003e\n\u003cli\u003eVideo codec: 4K@30fps, H265\u003c\/li\u003e\n\u003cli\u003eNN platform supports: All platform\u003c\/li\u003e\n\u003cli\u003einterface: USB3.0\u003c\/li\u003e\n\u003cli\u003ePower consumption: 2.5W\u003c\/li\u003e\n\u003cli\u003eDevelopment language: Python C++\u003c\/li\u003e\n\u003cli\u003eDevelopment Platform: Win10\/Linux\/macOS\/RPI and more\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003e3-Click Setup\u003c\/h4\u003e\n\u003cp\u003eYou're up and running in 3 clicks. On Raspberry Pi, Mac, Windows \u0026amp; Linux.\u003c\/p\u003e\n\u003cp\u003eIt just works. And it's open source - so you can dig in and change anything you want.\u003c\/p\u003e\n\u003ch4\u003ePacks a Punch\u003c\/h4\u003e\n\u003cp\u003eTons of Power. Tons of Examples. You're up and running in 30 seconds:\u003c\/p\u003e\n\u003ch4\u003e3D Object Detection\u003c\/h4\u003e\n\u003cp\u003e3D object detection is what humans do. We know where objects are - and where they are in physical space. It's why we can pick up a coffee cup, or catch a ball.\u003c\/p\u003e\n\u003ch4\u003e3D Object Pose\u003c\/h4\u003e\n\u003cp\u003eGet the pose of objects in yaw, pitch, and role - in addition to where they are in physical space.\u003c\/p\u003e\n\u003ch4\u003e3D Semantic Segmentation\u003c\/h4\u003e\n\u003cp\u003e3D depth information that is semantically labeled per pixel. This allows your robot to stay on the sidewalk, or know when there's some object in your path.\u003c\/p\u003e\n\u003ch4\u003eHuman Pose Estimation\u003c\/h4\u003e\n\u003cp\u003eTrack hands and\/or full body pose in full 3D coordinates.\u003c\/p\u003e\n\u003ch4\u003e3D Human Pose Estimation\u003c\/h4\u003e\n\u003cp\u003eMotion Capture - without any additional hardware\/sensors\/etc. with direct Unity tie-in.\u003c\/p\u003e\n\u003ch4\u003e3D Hand Pose Estimation\u003c\/h4\u003e\n\u003cp\u003eThe possibilities are endless. From keeping hands safe - to all sorts of interactive control.\u003c\/p\u003e\n\u003ch4\u003e3D Manipulation and Control\u003c\/h4\u003e\n\u003cp\u003ePair with a holographic display from the Looking Glass Factory... and make the future now.\u003c\/p\u003e\n\u003ch4\u003e3D Gaze Estimation\u003c\/h4\u003e\n\u003cp\u003eSomeone giving you elevator eyes? Now your robot can know this too. Or your smart dash cam. Or your assistive robot that will grab what you’re looking at.\u003c\/p\u003e\n\u003ch4\u003e3D Vehicle Detection\u003c\/h4\u003e\n\u003cp\u003eKnow the full speed, trajectory, and vehicle type\/color, license plate region\/province, and plate number.\u003c\/p\u003e\n\u003ch4\u003e3D Pedestrian Detection\u003c\/h4\u003e\n\u003cp\u003eThe spatial data of OAK-D-Lite doing privacy-first analytics of dwell time (in physical space), the direction of travel, and people counting - including direction, travel speed, and interest estimation.\u003c\/p\u003e\n\u003ch4\u003e3D Edge Detection\u003c\/h4\u003e\n\u003cp\u003eEdge detection is useful in so many ways. Find the edge of the lane, use it to better get 3D locations of objects (semantic labeling to the edge), or just have a fantastic real-time techno dance party. It's incredibly fun and fascinating to play with.\u003c\/p\u003e\n\u003ch4\u003e3D Feature Tracking\u003c\/h4\u003e\n\u003cp\u003eThis allows your robot to orient itself, and know how it's moving, visually. Just like Lionel Messi does when sprinting a field, now your thing can too.\u003c\/p\u003e\n\u003ch4\u003eOnboard 4K Video Encoding\u003c\/h4\u003e\n\u003cp\u003eThis alone is a reason to have an OAK-D-Lite (or 10) in your toolbox (or schoolbox) - you can now record 4k video on a Pi Zero! 373MB\/s -\u0026gt; 3.125MB\/s - all on-camera. h.264, h.265, MJPEG, JPEG, and lossless JPEG at up to 13MP.\u003c\/p\u003e\n\u003ch4\u003eDisparity Depth (Global Shutter For Fast Motion)\u003c\/h4\u003e\n\u003ch4\u003eDepth+ AI Driven Focus for Perfect Shots\u003c\/h4\u003e\n\u003ch4\u003eFace Recognition\u003c\/h4\u003e\n\u003ch4\u003eLossless Zoom\u003c\/h4\u003e\n\u003cp\u003eThe built-in 13MP color camera can be lossless zoomed 6x and panned - all guided by AI and with 1080p HD or 4k encoded output.\u003c\/p\u003e\n\u003ch4\u003eAnonymize On-Device for Privacy-First Recordings\u003c\/h4\u003e\n\u003cp\u003eThe onboard AI can be used to automatically blur faces (or any other details) prior to video encoding - to allow having a video of what you need (e.g. is the product damaged?) without sacrificing the privacy of people.\u003c\/p\u003e\n\u003ch4\u003eInexpensive Means Accessible\u003c\/h4\u003e\n\u003cp\u003eWith the previous OAK—D KickStarter, we enabled thousands to harness the power of Spatial AI. But too many end up in the situation where they wished they could use it to solve their problem - because it is a cheat mode for so many problems - but it was simply too expensive to use it.\u003c\/p\u003e\n\u003cp\u003eIf you passed sixth grade - you got this! OAK-D-Lite is for you. Students, Artists, Raspberry Pi Hackers, K12 Educators, RC Car Racers, Roboticists, Python Developers, AR\/VR Enthusiasts, Unity Hackers, Computer Vision, and AI Experts alike.\u003c\/p\u003e\n\u003ch4\u003eROS1 and ROS2 Plug\u0026amp;Play\u003c\/h4\u003e\n\u003cp\u003eYour imagination is the only limit. OAK—D. LITE gives you a human-like perception as a building block.\u003cbr\u003eFrom minute 0.\u003c\/p\u003e\n\u003ch4\u003eLearn By Doing - The Perfect Gift for Kids\u003c\/h4\u003e\n\u003cp\u003eThe Open Source Cortic AI Toolkit allows you to drag and drop to make powerful custom applications. And better yet, also runs on Raspberry Pi - a perfect pairing for OAK-D Lite.\u003c\/p\u003e\n\u003ch4\u003eControl Anything With Gestures - From Anywhere\u003c\/h4\u003e\n\u003cp\u003eThe DepthAI pipeline builder allows you to do things like below. Where a person is found, then the limbs are found, and then from there the hand is found, and from there a hand-pose (and\/or sign-language) model is run on the hand. The 13 MegaPixel helps a TON here - to have enough pixels left after the whole pipeline has effectively 40x zoomed.\u003c\/p\u003e\n\u003ch4\u003eMake Mini Pupper As Smart as a Border Collie\u003c\/h4\u003e\n\u003cp\u003eSeriously. The\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/www.kickstarter.com\/projects\/336477435\/mini-pupper-open-sourceros-robot-dog-kit\" rel=\"noopener\" target=\"_blank\"\u003eMini Pupper\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003eis already a blast. But with OAK-D-Lite vision, it's now your Border-Collie-level smart robotic dog. Border Collies are amazing because they can learn very specific hand signals (and they're neurotic about them). Now Mini Pupper can be just as amazing (and neurotic)!\u003c\/p\u003e\n\u003ch4\u003eMake Multiplayer VR, AR, XR\u003c\/h4\u003e\n\u003cp\u003eKnowing what things are, and where - in real-time on a low-cost device - has the promise of allowing all sorts of multi-player experiences. Imagine if Laser Tag was no longer tech from the 1980s? We think OAK-D-Lite will help here.\u003c\/p\u003e\n\u003ch4\u003eMake Your Robot Fun and Interactive\u003c\/h4\u003e\n\u003cp\u003eThe built-in AI unlocks all sorts of fun applications. Your imagination is the only limit.\u003c\/p\u003e\n\u003ch4\u003eMake an Autonomous Lawn Mower\u003c\/h4\u003e\n\u003cp\u003eFinally... a Roomba for your back yard. And you can make one!\u003c\/p\u003e\n\u003ch4\u003ePerform Sports Analytics\u003c\/h4\u003e\n\u003cp\u003eThe global shutter cameras - which give depth at over 200FPS - allow the device to see at speeds that a human can. So just like a person can track a ping pong ball in physical space - OAK-D-Lite can too. But since it's tech-based, it can record the position of the ball at 200+FPS. Full trajectory and speed of your shots!\u003c\/p\u003e\n\u003ch4\u003eEnable Your Robot to Navigate Autonomously\u003c\/h4\u003e\n\u003cp\u003eFeature tracking, depth, object detection in 3D space. OAK-D-Lite is like a cheat mode for robotic navigation.\u003c\/p\u003e\n\u003ch4\u003eCommunicate Holographically with The Looking Glass Factory\u003c\/h4\u003e\n\u003cp\u003eThe\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/lookingglassfactory.com\/\" rel=\"noopener\" target=\"_blank\"\u003eLooking Glass Factory\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003ehas solved the Holographic part. But the capture part of holograms is still painful. We think that over time - and with community support - OAK-D-Lite will be a piece of allowing real-time Holographic communication for the first time.\u003c\/p\u003e\n\u003cp\u003eHere’s our 3D Engineer Sachin on the Looking Glass Portrait.\u003c\/p\u003e\n\u003ch4\u003eGive Unity Spatial AI Super Powers\u003c\/h4\u003e\n\u003ch4\u003eFigure Out Where You Are Without GPS\u003c\/h4\u003e\n\u003cp\u003eUsing the feature tracking above - and an external IMU - it is now possible to estimate your (robot's) position without GPS.\u003c\/p\u003e\n\u003ch4\u003eMake Wheelchairs Smart and Safe\u003c\/h4\u003e\n\u003cp\u003eDepth and AI allow making powered wheelchairs automatically prevent commands that would cause harm (like an errant comment that would bring the wheelchair down a flight of stairs).\u003c\/p\u003e\n\u003ch4\u003eTranslate Sign Language and Track it in 3D Space\u003c\/h4\u003e\n\u003cp\u003eNot kidding. It can do this. And\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/github.com\/cortictechnology\/cep#cortic-edge-computing-platform-cep\" rel=\"noopener\" target=\"_blank\"\u003eCortic Technology\u003cspan\u003e \u003c\/span\u003e\u003c\/a\u003emakes an Open Source education platform that makes building this easier than building the lego that holds OAK-D-Lite\u003c\/p\u003e\n\u003ch4\u003eMonitor Life-Signs Passively and Safely\u003c\/h4\u003e\n\u003cp\u003eKeep pre-term babies safe using human-like perception to know if everything is OK. This allows not having potentially dangerous, invasive monitoring. And also acts as a force multiplier for doctors, nurses and parents.\u003c\/p\u003e\n\u003ch4\u003eMonitor Pulse Visually\u003c\/h4\u003e\n\u003cp\u003eWe actually didn't believe this one at first. It's crazy such a thing can be detected passively.\u003c\/p\u003e\n\u003ch4\u003eMonitor Breathing Health Passively\u003c\/h4\u003e\n\u003cp\u003eThe combination of depth and artificial intelligence allows you to monitor things that previously would feel like science fiction. Identify the sections of the chest with AI, and use depth to know the breathing profile over time.\u003c\/p\u003e\n\u003ch4\u003eImprove the Well-Being of Animals\u003c\/h4\u003e\n\u003cp\u003eJust like helping people. This can be used to know when animals are stressed, injured, or otherwise have a health problem - by monitoring behavior and activity in physical space.\u003c\/p\u003e\n\u003ch4\u003eMake a Dash Cam That Helps Keep Everyone Safe\u003c\/h4\u003e\n\u003cp\u003eBuild off of OAK,\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/www.kickstarter.com\/projects\/blueboxlabs\/bluebox-co-pilot-all-in-one-smart-driving-assistant\" rel=\"noopener\" target=\"_blank\"\u003ebluebox Co-pilot\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003ekeeps your vehicle safe, you safe, and can automatically log (other) aggressive drivers and dangerous situations.\u003c\/p\u003e\n\u003ch4\u003eGive Legos Super Powers\u003c\/h4\u003e\n\u003cp\u003eThis is what we all dreamed of as kids. It's now possible. So jealous.\u003c\/p\u003e\n\u003ch4\u003eTranslate Semaphore Alphabet\u003c\/h4\u003e\n\u003cp\u003eYep, in 3D Space too. We didn't even know this was a thing. But OAK-D-Lite can do it. Thanks to\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/github.com\/geaxgx\/depthai_blazepose\/tree\/main\/examples\/semaphore_alphabet#semaphore-alphabet-with-blazepose-on-depthai\" rel=\"noopener\" target=\"_blank\"\u003egeax\u003c\/a\u003e. Gotta love open source.\u003c\/p\u003e\n\u003ch4\u003eFilm Wildlife Automatically\u003c\/h4\u003e\n\u003cp\u003eThe GIF doesn't do it justice. This is a beautiful 4K video.\u003c\/p\u003e\n\u003cp\u003eAutomatically record 4k videos and\/or beautiful 13MP JPEGs when certain species are detected.\u003c\/p\u003e\n\u003ch4\u003ePick Strawberries\u003c\/h4\u003e\n\u003cp\u003ePick only the ripe ones. Sort by ripeness. Avoid people with Strawberry Allergies.\u003c\/p\u003e\n\u003ch4\u003eDetect Pests in Your Garden or Farm\u003c\/h4\u003e\n\u003cp\u003eLasers instead of harmful chemicals. Feels like science fiction. It's the future.\u003c\/p\u003e\n\u003ch4\u003eEstimate Biomass for Smart Agriculture\u003c\/h4\u003e\n\u003cp\u003eThis one is above our heads. But super cool and agriculture geeks have to love this, right?\u003c\/p\u003e\n\u003ch4\u003eEfficiently Sort \u0026amp; Pack Parcel\u003c\/h4\u003e\n\u003cp\u003eWe get this one. Algorithms are great at packing. Given them the information they need, real-time. Let robotics pack for us!\u003c\/p\u003e\n\u003ch4\u003eImprove Your Workouts\u003c\/h4\u003e\n\u003cp\u003eI can't touch my toes. With OAK-D-Lite... maybe I'll be able to.\u003c\/p\u003e\n\u003ch4\u003eExplore the Ocean\u003c\/h4\u003e\n\u003cp\u003eOnly some tiny portion of the Ocean is explored. No, really.\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/ipozsystems.com\/\" rel=\"noopener\" target=\"_blank\"\u003eIPOZ\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003eis changing that with OAK technology.\u003c\/p\u003e\n\u003ch4\u003eControl Your Robots with Your Hands\u003c\/h4\u003e\n\u003cp\u003eWhen we saw this we were blown away! We couldn't control ourselves. Thanks, Boris!\u003c\/p\u003e\n\u003ch4\u003eDid We Mention ROBOTS? ???? ⚡️ ????\u003c\/h4\u003e\n\u003ch4\u003eDetect Falls While Respecting Privacy\u003c\/h4\u003e\n\u003cp\u003eDepth view gives an idea of what is happening - while respecting privacy. And you can just send metadata instead of images at all.\u003c\/p\u003e\n\u003ch4\u003eImprove Your Manufacturing Process\u003c\/h4\u003e\n\u003cp\u003eAI for detecting defects is great. But often without depth, the error rate is just too high. Depth is the missing piece - a piece that humans have - which allows the accuracy to be sufficiently high to finally be useful.\u003c\/p\u003e\n\u003ch4\u003eSave Hands and Limbs\u003c\/h4\u003e\n\u003cp\u003eThe capability to mimic a human-like understanding of what things are and where enables tons of human-machine safety applications.\u003c\/p\u003e\n\u003cdiv\u003e\n\u003cdiv\u003eCount Crowds - And Return Meta Data\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp\u003eSince the counting is done on-device - there's actually no need to return anything more than the metadata itself (the crowd count). Enabling communication over extremely-low bandwidth links like LoRa.\u003c\/p\u003e\n\u003ch3\u003eKeep People Safe from Distracted Drivers\u003c\/h3\u003e\n\u003cp\u003eThis is what started it all. And it remains our North Star. Distracted driving causes fender benders when between cars. When between a car and a person, it kills.\u003c\/p\u003e\n\u003cp\u003eSpatial AI can be used to change the course of history as it’s happening. To prevent accidents as they were going to occur.\u003c\/p\u003e\n\u003cp\u003eOAK—D. LITE is built on the open-source DepthAI ecosystem, with out-of-the-box supported by the following frameworks, but since the API (and hardware) are open-source, it’s easy to extend support to nearly any language \u0026amp; framework.\u003c\/p\u003e\n\u003cp\u003eOut-of-the-box Python, C++, Java, ROS \u0026amp; ROS2, Roboflow, CEP Support\u003c\/p\u003e\n\u003ch3\u003eAny Operating System\u003c\/h3\u003e\n\u003cp\u003eWorks with any OS. You name it. Pre-built binaries are regularly released for Mac, Windows, Ubuntu, Raspberry Pi OS, and the Jetson series.\u003c\/p\u003e\n\u003cp\u003eAnd since it’s heavily open source (including being able to download the design files), every day we wake up to some new integration with a new language, or suite of tools, etc.\u003cbr\u003eThere’s a famous adage that any useful technology will eventually send an email and be available in Javascript… both of which are true here.\u003c\/p\u003e\n\u003ch3\u003eCustom Cameras\u003c\/h3\u003e\n\u003cp\u003eWe worked hand-in-hand with ArduCam to design cameras from the ground up for OAK-D Lite.\u003c\/p\u003e\n\u003ch3\u003eMechanical Design\u003c\/h3\u003e\n\u003cp\u003eThe mechanical design of OAK-D Lite was highly iterative - taking in feedback from Alpha testing and initial field deployments of the first prototypes built to refine to the final design.\u003c\/p\u003e","brand":"Arducam","offers":[{"title":"Default Title","offer_id":41449788964997,"sku":"SN-000226-ADC","price":249.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/aok.png?v=1767560005"},{"product_id":"arducam-noir-8-mp-sony-imx219-camera-module-with-m12-lens-ls1820","title":"Arducam NOIR 8 MP Sony IMX219 camera module with M12 lens LS1820","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\n\u003cp\u003eArducam team just released an 8MP Raspberry Pi compatible camera based on the Sony IMX219 image sensor. It’s capable of 3280 x 2464 pixel static images, and also supports video. It attaches to Pi by the dedicated standard CSI interface.\u003c\/p\u003e\n\u003cp\u003eThis camera has a NoIR M12 lens which can be applied under low light conditions. It is supplementary for Raspberry Pi's official camera in order to fulfill the demands for different lens mounts, the field of view (FOV) and depth of the field (DOF), as well as the motorized IR-cut filter for both daylight and night vision.\u003c\/p\u003e\n\u003ch2\u003eApplications\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eCellular phones, PDAs, Toys\u003c\/li\u003e\n\u003cli\u003eOther battery-powered products\u003c\/li\u003e\n\u003cli\u003eWildlife Photograph\u003c\/li\u003e\n\u003cli\u003eHome Security Supervise\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-size-base\"\u003eRecording slow motion\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-size-base\"\u003eMachine vision, etc.\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ch3\u003eCamera\u003c\/h3\u003e\n\u003ctable class=\"tg\"\u003e\n\u003ccolgroup\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eImage Sensor\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eIMX219\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eStill Resolution\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e8 Megapixels\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eVideo Modes\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e1080p47, 1640 × 1232p41 and 640 × 480p206\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eSensor Resolution\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e3280 × 2464 pixels\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eSensor image area\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e3.68 x 2.76 mm (4.6 mm diagonal)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003ePixel Size\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e1.12 µm x 1.12 µm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eOptical Size\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e1\/4\"\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eIR Sensitivity\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003ewithout IR-cut filter, sensitive to IR light\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eLens\u003c\/h3\u003e\n\u003ctable class=\"tg\"\u003e\n\u003ccolgroup\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth class=\"tg-75ta\"\u003eFocus Type\u003c\/th\u003e\n\u003cth class=\"tg-75ta\"\u003eManual Focus\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eFocal Length\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e1.8mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eF.NO\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eF2.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eField of View(FOV)\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e100°(H)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eLens Mount\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eM12 Mount\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch3\u003eElectrical \u0026amp; Mechanical\u003c\/h3\u003e\n\u003ctable class=\"tg\"\u003e\n\u003ccolgroup\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eCamera Board size\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e36 x 36 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003ePeaking Current\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e300mA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003chr\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch2\u003ePackage Including\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e1 x 8 Megapixels IMX219 Sensor Camera Module\u003c\/li\u003e\n\u003cli\u003e1 x 15cm 15-15pin FPC cable\u003c\/li\u003e\n\u003cli\u003e1 x 15cm 15-22pin FPC cable\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eNote\u003c\/h2\u003e\n\u003cul\u003e\n\u003cul\u003e\n\u003cli\u003eThe package does not include any Raspberry Pi motherboard.\u003c\/li\u003e\n\u003cli\u003eThe drop-in replacement module does not include FPC cables and any camera boards. And it requires the use of the Raspberry Pi V2 camera board to function properly.\u003c\/li\u003e\n\u003cli\u003eThe lenses of all camera modules are not interchangeable.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/ul\u003e","brand":"Arducam","offers":[{"title":"Default Title","offer_id":41449804660869,"sku":"RP-000106-ADC","price":69.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/b0152.png?v=1767560011"},{"product_id":"arducam-8-mp-sony-imx219-camera-module-with-m12-lens-ls40136","title":"Arducam 8 MP Sony IMX219 camera module with M12 lens LS40136","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\n\u003cp\u003eArduCAM team just released a 8MP Raspberry Pi compatible camera based on the same Sony IMX219 image sensor. It’s capable of 3280 x 2464 pixel static images. It attaches to Pi by the dedicated standard CSi interface.\u003c\/p\u003e\n\u003cp\u003eIt is supplementary for Raspberry Pi official camera in order to fulfill the demands for different lens mounts, field of view (FOV) and depth of the field (DOF) as well as the motorized IR cut filter for both daylight and night vision.\u003c\/p\u003e\n\u003ch2\u003eApplications\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eCellular phones, PDAs, Toys\u003c\/li\u003e\n\u003cli\u003eOther battery-powered products\u003c\/li\u003e\n\u003cli\u003eWildlife Photograph\u003c\/li\u003e\n\u003cli\u003eHome Security Supervise\u003c\/li\u003e\n\u003cli\u003eRecording slow motion\u003c\/li\u003e\n\u003cli\u003eMachine vision, etc.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ch3\u003eCamera\u003c\/h3\u003e\n\u003ctable class=\"tg\"\u003e\n\u003ccolgroup\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eImage Sensor\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eIMX219\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eStill Resolution\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e8 Megapixels\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eVideo Modes\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e1080p47, 1640 × 1232p41 and 640 × 480p206\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eSensor Resolution\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e3280 × 2464 pixels\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eSensor image area\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e3.68 x 2.76 mm (4.6 mm diagonal)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003ePixel Size\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e1.12 µm x 1.12 µm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eOptical Size\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e1\/4\"\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eIR Sensitivity\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eIntegral IR-cut Filter, visible light only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eSupported Platform\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eRaspberry Pi 5\/4B\/3B+\/3\/2\/CM3\/CM4\/CM5\/Zero W\/Zero 2 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eLens\u003c\/h3\u003e\n\u003ctable class=\"tg\"\u003e\n\u003ccolgroup\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth class=\"tg-75ta\"\u003eFocus Type\u003c\/th\u003e\n\u003cth class=\"tg-75ta\"\u003eManual Focus\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eFocal Length\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e2.8mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eF.NO\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eF2.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eField of View(FOV)\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e70°(H)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eLens Mount\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eM12 Mount\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch3\u003eElectrical \u0026amp; Mechanical\u003c\/h3\u003e\n\u003ctable class=\"tg\"\u003e\n\u003ccolgroup\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eCamera Board Size\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e36mm x 36mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"tg-75ta\"\u003ePeaking Current\u003c\/th\u003e\n\u003cth class=\"tg-75ta\"\u003e300mA\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003chr\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003ePackage Including\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e1 x 8 Megapixels IMX219 Sensor Camera Module\u003c\/li\u003e\n\u003cli\u003e1 x 15cm 15pin FPC cable\u003c\/li\u003e\n\u003cli\u003e1 x 15cm 15-22pin FPC cable\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eNote\u003c\/h2\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv class=\"widget block block-static-block\"\u003e\n\u003cdiv data-content-type=\"html\" data-appearance=\"default\" data-element=\"main\" data-decoded=\"true\"\u003e\n\u003cul\u003e\n\u003cli\u003eThe package does not include any Raspberry Pi motherboard.\u003c\/li\u003e\n\u003cli\u003eThe drop-in replacement module does not include FPC cables and any camera boards. And it requires the use of the Raspberry Pi V2 camera board to function properly.\u003c\/li\u003e\n\u003cli\u003eThe lenses of all camera modules are not interchangeable.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Arducam","offers":[{"title":"Default Title","offer_id":41449805873285,"sku":"RP-000107-ADC","price":69.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/1_dc4d68f0-c3e8-4ed1-9ac1-1e4e76231e59.png?v=1767560021"},{"product_id":"arducam-5mp-ov5647-camera-module-with-m12-lens","title":"Arducam 5MP OV5647 Camera Module with M12 Lens","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\n\u003cp\u003eThe Camera Module is a custom designed add-on for Raspberry Pi. It attaches to Raspberry Pi by way of one of the two small sockets on the board upper surface. This interface uses the dedicated CSI interface, which was designed especially for interfacing to cameras. The CSI bus is capable of extremely high data rates, and it exclusively carries pixel data.\u003cbr\u003eThe board itself is tiny, at around 36mm x 36mm highlight of our module is that the Lens is replaceable compared to official one, making it perfect for mobile or other applications where size and image quality are important. It connects to Raspberry Pi by way of a short ribbon cable. The camera is connected to the BCM2835 processor on the Pi via the CSI bus, a higher bandwidth link which carries pixel data from the camera back to the processor. This bus travels along the ribbon cable that attaches the camera board to the Pi.\u003cbr\u003eThe sensor itself has a native resolution of 5 megapixel, and has a fixed focus lens onboard. In terms of still images, the camera is capable of 2592 x 1944 pixel static images, and also supports 1080p30, 720p60 and 640x480p60\/90 video.The camera is supported by the latest Raspberry Pi OS, which support using libcamera apps to capture images.\u003c\/p\u003e\n\u003ch2\u003eApplications\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eCellular phones,PDAs,Toys\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eOther battery-powered products\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ePC multimedia\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eDigital still cameras,etc.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eFeatures\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eLens holder: M12x0.5\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003e5MPixel sensor\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eIntegral IR filter\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eFrame rate at max resolution: 30fps\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eConnection by flat ribbon cable to 15-pin MIPI Camera Serial Interface (CSI) connector S5 on Raspberry Pi computer board\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eThe Camera Lens for Raspberry Pi Camera Board is HX-27227\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eThe camera is OmniVision OV5647 sensor in a fixed-focus module with replaceable Lenes\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable border=\"1\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan\u003eSensor\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003eOmnivision OV5647 sensor\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan\u003eOptical Size\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e1\/4” (OV5647)\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan\u003eResolution\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e5MP 2592×1944\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan\u003eFrame Rates\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e1080p 30 fps, 720p 60fps, 480p 90fps\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan\u003eFocal Length\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e4mm\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan\u003eField of View(FOV)\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e56°(H)\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan\u003eFocus Type\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003eManual Focus\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan\u003eLens Type\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003eM12 Lens\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan\u003eDimension\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e36×36 mm, 4 mounting holes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan\u003ePeaking Current\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e300mA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e\u003cstrong\u003ePackage Including\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003e1 x 5 Megapixels OV5647 Sensor Camera Module\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003e1 x 15cm 15pin FPC cable\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003e1 x 15cm 15-22pin FPC cable\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eNote\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eRaspberry Pi Board is not included in the package\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eYou might need extra m12 lenses to unlock its full potential\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eThis board is slightly larger(36cm) than the official Raspberry Pi Camera V2, so it does not fit some cases for Raspberry Pi\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eBe gentle while changing the lens and holders or you might damage the thread, but it’s easily fixable with a new m12 holder.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Arducam","offers":[{"title":"Default Title","offer_id":41449809412229,"sku":"RP-000108-ADC","price":34.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/1_ed22bc8b-079d-448c-9af4-b68f434dba58.png?v=1767560030"},{"product_id":"recamera-2002w-8gb-open-source-ai-camera","title":"reCamera 2002w 8GB - Open Source AI Camera","description":"\u003cdiv id=\"product_info_b9041e767e28f8\" class=\"relative\"\u003e\n\u003cdiv class=\"text-24 font-mst-b max1080:text-22 leading-tight py-20 max1080:py-15\"\u003e\n\u003ch3\u003eFeatures:\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"html_content_2981\"\u003e\n\u003cdiv\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003e\u003cstrong\u003eFrom Demo to Production in Days, Not Months\u003c\/strong\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"\"\u003eReady Custom AI Models\u003c\/span\u003e\u003c\/strong\u003e\u003cspan data-font-family=\"\"\u003e: Built-in YOLO11\u003cspan\u003e \u003c\/span\u003e\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ewith commercial license,\u003cspan\u003e \u003c\/span\u003e\u003c\/span\u003e\u003cspan data-font-family=\"\"\u003eRoboflow \u0026amp; SenseCraft AI support.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"\"\u003eOne-Line Deployment\u003c\/span\u003e\u003c\/strong\u003e\u003cspan data-font-family=\"\"\u003e: Quick YOLO model deployment with a single command.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"\"\u003eEasy Integration\u003c\/span\u003e\u003c\/strong\u003e\u003cspan data-font-family=\"\"\u003e: Pocket-size, PoE\u0026amp;CAN-bus for expasion, Magnetic and 1\/4\" Thread Mount.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"\"\u003eReliable Performance\u003c\/span\u003e\u003c\/strong\u003e\u003cspan data-font-family=\"\"\u003e: Optimized heat dissipation for stability.\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003e\u003cspan data-font-family=\"\"\u003eCode or No-Code: Vision AI for Every Developer's Workflow\u003c\/span\u003e\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eNo-Code for Beginners\u003c\/span\u003e\u003c\/strong\u003e\u003cspan data-font-family=\"default\"\u003e: Node-RED for effortless custom workflows.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003ePro-Code for Experts\u003c\/span\u003e\u003c\/strong\u003e\u003cspan data-font-family=\"default\"\u003e: C++ SDK and OpenCV C++ APIs for deeper diving.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eDedicated Accessories:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan data-font-family=\"default\"\u003e\u003cspan\u003e \u003c\/span\u003eGimbals and more to enhance reCamera’s functionality.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eSeeed Vision AI Ecosystem:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan data-font-family=\"default\"\u003e\u003cspan\u003e \u003c\/span\u003eFrom MCUs to high-end robotics, Seeed full Vision AI matrix ensures the ideal pair with reCamera.\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003e\u003cspan data-font-family=\"\"\u003eModular by Design, Customizable by Demand\u003c\/span\u003e\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"\"\u003eFully Open Source:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan data-font-family=\"\"\u003e\u003cspan\u003e \u003c\/span\u003eTailor reCamera to your needs.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"\"\u003eModular Design\u003c\/span\u003e\u003c\/strong\u003e\u003cspan data-font-family=\"\"\u003e: Combine\/Mix and match sensor, base, and core boards for endless configurations.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"\"\u003ePlug \u0026amp; Swap:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan data-font-family=\"\"\u003e\u003cspan\u003e \u003c\/span\u003eEasily assemble the reCamera for your unique needs.\u003cbr\u003e\u003cbr\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/upload\/image-recamera-2.jpeg\" alt=\"\" width=\"1000\" height=\"494\"\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan data-font-family=\"\"\u003eWalk through the whole pipeline to discover how reCamera, the tiny yet powerful AI camera, simplifies and speed up your vision AI development.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ciframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/MfnjmFO-WWo?si=AEZ8DI_U3Pn9TJUB\" width=\"560\" height=\"315\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"product_info_75a4f17717b658\" class=\"relative\"\u003e\n\u003cdiv class=\"absolute bottom-full left-0 w-full h-1 p_scroll_into_view_2981\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"text-24 font-mst-b max1080:text-22 leading-tight py-20 max1080:py-15\"\u003e\n\u003ch3\u003eSpecifications:\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"html_content_2981\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"p_2981_table_wrapper\"\u003e\n\u003ctable class=\"p_2981_table\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"228\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family='\"Source Sans Pro\", sans-serif'\u003ereCamera 200x Series\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"149\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family='\"Source Sans Pro\", sans-serif'\u003ereCamera 2002\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"210\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family='\"Source Sans Pro\", sans-serif'\u003ereCamera 2002w\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"6\" width=\"108\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eProcessor System\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"120\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eAl Performance\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e1TOPS@Int8\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"120\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eSOC\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eSG2002\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"120\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eCPU\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eC906@1GHz + C906@700MHz\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"120\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eMCU\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e8051@8KB SRAM\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"120\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eMemory\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e256MB\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"120\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eVideo Encode\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e5MP @ 30Fps\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"11\" width=\"108\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eCamera\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"120\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eSensor\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eOV5647\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"120\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eResolution\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e5M(2592*1944) Pixels\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"120\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eChip\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e1\/4\" CMOS Sensor\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"120\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003ePixel Size\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e1.4um\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"120\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eOutput Format\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eRAW 10\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"120\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eMaximum Frame Rate\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003efull size: 15fps\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"120\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eAperture\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eF2.8\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"120\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eEquivalent Focal Length\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e3.46mm\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"120\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eField of View\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e65\u003c\/span\u003e\u003cspan data-font-family='-apple-system, \"system-ui\", \"Segoe UI\", \"Noto Sans\", Helvetica, Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\"'\u003e°\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"120\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eDistortion\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e\u0026lt;1%\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"120\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eLens structure\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e5P\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"2\" width=\"108\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eStorage\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"120\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eeMMC\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e8GB\/64GB\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"120\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eExpansion\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eremovable TF card (up to 2TB, not included)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"6\" width=\"108\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eI\/O\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"120\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eEthernet\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e100Mbps\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"120\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eWireless\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"149\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\/\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"210\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eWIFI2.4G\/5G BT4.2\/5.0\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"120\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eUSB\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eUSB Type-C(2.0)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"120\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eButton\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e1x Reset Button, 1x Boot Button\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"120\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eFill Light\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e0.3w White Light\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"120\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eLED Indicator\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e1x Power indicator,\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e1x eMMC status indicator,\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e1x CPU status(User LED)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"2\" width=\"108\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eAudio\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"120\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eMic\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eOn-board Mic\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"120\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eSpeaker\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eExternal Speaker\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"228\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eDimension\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e40x40x36.5mm\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"228\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003ePower\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e5V\/1A USB Type C\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"228\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eOperation Temperature\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e-20～50\u003c\/span\u003e\u003cspan data-font-family='-apple-system, \"system-ui\", \"Segoe UI\", \"Noto Sans\", Helvetica, Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\"'\u003e°C\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"228\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eOperation Humidity\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"359\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e95%\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"product_info_5c99cb207284d8\" class=\"relative\"\u003e\n\u003cdiv class=\"absolute bottom-full left-0 w-full h-1 p_scroll_into_view_2981\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"text-24 font-mst-b max1080:text-22 leading-tight py-20 max1080:py-15\"\u003e\n\u003ch3\u003eHardware Overview\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"html_content_2981\"\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/reCamera2002_8GB_HO1.png\" alt=\"\" width=\"1335\" height=\"1200\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/upload\/image-recamera-1.jpeg\" alt=\"\" width=\"1000\" height=\"606\"\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"product_info_8f3bb94c0d2f2\" class=\"relative\"\u003e\n\u003cdiv class=\"absolute bottom-full left-0 w-full h-1 p_scroll_into_view_2981\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"text-24 font-mst-b max1080:text-22 leading-tight py-20 max1080:py-15\"\u003e\n\u003ch3\u003eApplication\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"html_content_2981\"\u003e\n\u003cdiv\u003e\n\u003ch4\u003e\u003cspan\u003e\u003cstrong\u003eNode-RED for Effortless Custom Vision AI Workflows\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp\u003e\u003cspan\u003eWith its plug and play design, and built-in YOLO 11 models, you can effortlessly drag and drop to start using reCamera. Set up custom vision AI workflows and preview AI Model processing on Node-RED, all with zero complex coding.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ciframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/XdgCt44UR1M?si=MCEXArJfJCJPHbrZ\" width=\"560\" height=\"315\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003ch1\u003e\u003cspan\u003e\u003cstrong\u003ereCamera Gimbal\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h1\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eEffortlessly transform your gimbal with AI-powered control by connecting this camera module. Gain precise, two-axis movement—up, down, left, right—without any coding to start. Using the intuitive Node-RED platform, you can easily integrate and fine-tune the system, allowing computer vision via YOLO v11 to enhance your gimbal's tracking capabilities. Just set up your preferred model in Node-RED, make a few adjustments, and experience the full potential of computer vision in your gimbal.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/reCamera2002_8GB_application.png\" alt=\"\" width=\"1200\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ciframe title=\"reCamera Controlling Gimbal with Node-red\" src=\"https:\/\/www.youtube.com\/embed\/ufh_YyEBPo4\" width=\"866\" height=\"487\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003ch1\u003e\u003cspan\u003e\u003cstrong\u003ereCamera Robot Arm\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h1\u003e\n\u003cp\u003e\u003cspan\u003eEnhance your robotic arm’s capabilities with seamless AI integration through this advanced camera module. Featuring flexible interface expansion and the open-source \u003ca href=\"https:\/\/github.com\/Seeed-Studio\/reCamera-OS\"\u003ereCamera OS\u003c\/a\u003e, this module adds powerful computer vision to your robotics setup for precise control and intelligent object recognition. Tailor it to your specific needs, and let the versatile interface handle complex tasks with advanced vision and adaptability.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/reCamera2002_8GB_application2.png\" alt=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"product_info_a0da1ee6f00af\" class=\"relative\"\u003e\n\u003cdiv class=\"text-24 font-mst-b max1080:text-22 leading-tight py-20 max1080:py-15\"\u003e\n\u003ch3\u003eDocuments\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"html_content_2981\"\u003e\n\u003cdiv class=\"documents_list\"\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reCamera\/recamera-user-manual.pdf\" target=\"_blank\"\u003eUser Manual\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reCamera\/reCamera_one_pager.pdf\" target=\"_blank\"\u003eData Sheet\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/github.com\/Seeed-Studio\/OSHW-reCamera-Series\" target=\"_blank\"\u003ereCamera Github\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/github.com\/Seeed-Studio\/reCamera-OS\" target=\"_blank\"\u003ereCamera OS Github\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reCamera\/Seeed_reCamera_Flyer\/Seeed_reCamera_Flyer.pdf\" target=\"_blank\"\u003e\u003cspan data-font-family=\"OpenSans-Semibold\"\u003ereCamera Flyer\u003c\/span\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reCamera\/Seeed_reCamera_Flyer\/Seeed_reCamera_Flyer_CN.pdf\" target=\"_blank\"\u003e\u003cspan data-font-family=\"OpenSans-Semibold\"\u003ereCamera Flyer - CN\u003c\/span\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003cspan data-font-family=\"OpenSans-Semibold\"\u003e\u003c\/span\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"product_info_cfbefdc0be9b6\" class=\"relative\"\u003e\u003c\/div\u003e\n\u003cdiv id=\"product_info_7c95ea27e27d\" class=\"relative\"\u003e\n\u003cdiv class=\"text-24 font-mst-b max1080:text-22 leading-tight py-20 max1080:py-15\"\u003e\n\u003ch3\u003ePart List:\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"html_content_2981\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"p_2981_table_wrapper\"\u003e\n\u003ctable class=\"p_2981_table\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"273.1333333333333\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003ereCamera 2002w 8GB\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"275.8666666666667\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003ex1\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"273.1333333333333\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eUSB type-c Cable\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"275.8666666666667\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003ex1\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"273.1333333333333\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eEthernet Cable\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"275.8666666666667\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003ex1\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"SeeedStudio","offers":[{"title":"Default Title","offer_id":41456623714437,"sku":"SN-000228-SEE","price":99.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/recam200x.png?v=1765359955"},{"product_id":"gravity-factory-calibrated-correlated-color-temperature-cct-als-meter-for-professional-photography","title":"Gravity: Factory Calibrated Correlated Color Temperature (CCT) \u0026 ALS Meter for Professional Photography","description":"\u003cdiv id=\"Introduction\" class=\"content Introduction\"\u003e\n\u003cdiv\u003e\n\u003cp\u003eThe Gravity: Correlated Color Temperature (CCT) \u0026amp; ALS Meter is a high-performance light sensing device, specifically designed to meet the needs of professional videographers and photographers. With precise calibration, it provides accurate measurements of correlated color temperature and illuminance intensity. It features an illuminance measurement range of 10-10000 Lux with an error margin of ±5 Lux + ±10% Lux and a correlated color temperature measurement range of 2700-6500K with an error margin of ±10% K, ensuring perfect lighting for any shoot. The sensor can be controlled using an\u003cspan\u003e \u003c\/span\u003eArduino UNO development board, and by following the wiring diagram and sample code provided in the\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/wiki.dfrobot.com\/SKU_SEN0611_Gravity_Color_Temperature_and_Ambient_Light_Sensor#target_7\" target=\"_blank\"\u003etutorial\u003c\/a\u003e, the final correlated color temperature, illuminance, and X, Y color coordinates data can be obtained.\u003c\/p\u003e\n\u003cp\u003ePhotographers can use the sensor on-site to measure environmental correlated color temperature and illuminance. It ensures that the lighting matches desired color temperature and brightness, resulting in accurate and professional photos and videos. During post-production, photographers rely on the sensor's precise data to adjust image color temperature and brightness, maintaining consistent visual style and optimizing image quality.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e\u003cbr\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eCorrelated Color Temperature Precise Measurement\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eCorrelated color temperature (CCT) is a critical aspect of lighting, measured in Kelvin (K). It describes the color characteristics of a light source based on blackbody radiation theory. This sensor converts environmental light into standard physical quantities, accurately representing the light temperature of different times of the day and weather conditions. Whether capturing the warm hues of a sunset (2000K-3000K) or the cool tones of a cloudy day (5000K and above), this sensor ensures precise calibration of lighting.\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eIlluminance Intensity Precise Measurement\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eIlluminance intensity measures the brightness of a light source in lux (Lux), reflecting the light flux on a unit area. This is crucial for achieving the desired brightness level in photography and videography. The sensor provides precise illuminance readings, allowing for the creation of perfect lighting setups, whether working in a brightly lit outdoor environment or a dimly lit indoor studio.\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eCompact and Efficient Design, only 26mm×24mm\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eWith a compact size of 26mm×24mm, the sensor is suitable for installations in constrained spaces. It operates efficiently with an operating voltage range of 3.3-5V DC and a low current consumption of 2.8mA, making it ideal for power-sensitive applications.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/cache3\/data\/SEN0611\/1_0x0.png.webp\" alt=\"Color Temperature and Light Color\" title=\"Color Temperature and Light Color\"\u003e\u003c\/p\u003e\n\u003cp\u003eColor Temperature and Light Color\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"Features\" class=\"content Features\"\u003e\n\u003ch4\u003eFeatures:\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eOutputs correlated color temperature (CCT) and illuminance data\u003c\/li\u003e\n\u003cli\u003eSupports I2C and UART communication modes\u003c\/li\u003e\n\u003cli\u003eCompact design suitable for constrained spaces\u003c\/li\u003e\n\u003cli\u003eCompatible with 3.3V to 5V main controllers\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003eApplications:\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eIndoor Lighting Systems:\u003c\/b\u003e\u003cspan\u003e \u003c\/span\u003eOptimize and control indoor lighting for better ambiance and energy efficiency.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eExhibition Hall Lighting Systems\u003c\/b\u003e: Ensure exhibits are well-lit with accurate color temperature and illuminance levels.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eLight Quality Detection Equipment\u003c\/b\u003e: Monitor and maintain the quality of light in various environments.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSupermarket Lighting Systems\u003c\/b\u003e: Enhance product displays with precise lighting conditions.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eScreen Display Adjustment\u003c\/b\u003e: Adjust screen displays to match ambient lighting for better viewing comfort.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv id=\"Applications\" class=\"content Applications\"\u003e\n\u003cdiv\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/cache3\/data\/SEN0611\/Applications_0x0.jpg.webp\" alt=\"Applications of Gravity: Factory Calibrated Light Color Temperature \u0026amp; ALS Meter for Professional Photography\" title=\"Applications of Gravity: Factory Calibrated Light Color Temperature \u0026amp; ALS Meter for Professional Photography\"\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"Specification\" class=\"content Specification\"\u003e\n\u003ch4\u003eSpecifications:\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eSupply Voltage: 3.3V~5V DC\u003c\/li\u003e\n\u003cli\u003eOperating Current: 2.8mA\u003c\/li\u003e\n\u003cli\u003eIlluminance Measurement Range: 10-10000 Lux\u003c\/li\u003e\n\u003cli\u003eIlluminance Measurement Error: ±5 Lux + ±10% Lux\u003c\/li\u003e\n\u003cli\u003eCorrelated Color Temperature Measurement Range: 2700-6500K\u003c\/li\u003e\n\u003cli\u003eCorrelated Color Temperature Measurement Error: ±10% K\u003c\/li\u003e\n\u003cli\u003eLight Source Measurement Angle: 90°\u003c\/li\u003e\n\u003cli\u003eOperating Temperature: -10 to 60°C\u003c\/li\u003e\n\u003cli\u003eDimension: 26*24mm \/ 1.02*0.94\"\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003eShipping List:\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eGravity: Color temperature \u0026amp; ALS Sensor x1\u003c\/li\u003e\n\u003cli\u003eGravity-4P I2C \/ UART Sensor Cable\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003eDocuments\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/wiki.dfrobot.com\/sen0611\/\" target=\"_blank\"\u003eProduct Wiki\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"DFRobot","offers":[{"title":"Default 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src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0601\/1712\/3269\/files\/Nuwa-HP60C__10_20f5f7c0-96e4-40c9-92ad-f252d8c3b7a7.jpg?v=1776758575\" alt=\"\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0601\/1712\/3269\/files\/Nuwa-HP60C__11_b72dc05b-4f58-458b-924a-8e53c8da90a6.jpg?v=1776758575\" alt=\"\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0601\/1712\/3269\/files\/Nuwa-HP60C__12_d1a13c8c-e617-48e6-acf0-6b59f1b32079.jpg?v=1776758575\" alt=\"\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0601\/1712\/3269\/files\/Nuwa-HP60C__13_6c6e777a-538a-4d80-91c0-2b3e22d5ae5b.jpg?v=1776758575\" alt=\"\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0601\/1712\/3269\/files\/Nuwa-HP60C__14_aebfcc36-9f90-49c4-bbf6-e21b13d0d57f.jpg?v=1776758575\" alt=\"\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0601\/1712\/3269\/files\/Nuwa-HP60C__15_26dbc162-43d7-4e7c-9b8e-c94c0b3e7426.jpg?v=1776758575\" alt=\"\"\u003e\u003cimg 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src=\"https:\/\/ae01.alicdn.com\/kf\/Scead9c213af440eb91cc8ade678580c1q.jpg\"\u003e\u003cimg src=\"https:\/\/ae01.alicdn.com\/kf\/Se666bcdabce0485eaad9e49bb3c66ca95.jpg\"\u003e\u003cimg src=\"https:\/\/ae01.alicdn.com\/kf\/Sf28d37737e524a7ebc4cf827468a1e4eq.jpg\"\u003e\u003cimg src=\"https:\/\/ae01.alicdn.com\/kf\/Se973f2931de44c03ae348209794b0380c.jpg\"\u003e\u003cimg src=\"https:\/\/ae01.alicdn.com\/kf\/S0333374d18864d988b9188f63b7d82b42.jpg\"\u003e\u003cimg src=\"https:\/\/ae01.alicdn.com\/kf\/S5b91c7eb89af4d31879367ca8d6018045.jpg\"\u003e\u003cimg src=\"https:\/\/ae01.alicdn.com\/kf\/Sfb5a67dfb72944899331e2cb89c2f4a1p.jpg\"\u003e\u003cimg src=\"https:\/\/ae01.alicdn.com\/kf\/Saf7a0a2d08f34253b598dce2f5686930B.jpg\"\u003e\u003cimg src=\"https:\/\/ae01.alicdn.com\/kf\/S9e0f2a1c3fc24dffb77cfb2e156ebe13G.jpg\"\u003e\u003cimg src=\"https:\/\/ae01.alicdn.com\/kf\/S77794b19f1144413b7ca880dff89cd57f.jpg\"\u003e\u003cimg src=\"https:\/\/ae01.alicdn.com\/kf\/S6bf151df894841bf9d96e74e42287966r.jpg\"\u003e\u003c\/p\u003e\n\u003cdiv class=\"description--wrap--LscZ0He\" id=\"nav-description\"\u003e\n\u003cdiv class=\"extend--wrap--yXwoDbO\"\u003e\n\u003cdiv class=\"extend--content--VuIQZia\"\u003e\n\u003cdiv id=\"product-description\" data-spm=\"1000023\" class=\"description--product-description--Mjtql28\" data-pl=\"product-description\"\u003e\n\u003cdiv class=\"richTextContainer  styleIsolation\" data-rich-text-render=\"true\"\u003eORBBEC ASTRA Pro 3D Depth Camera – Revolutionizing AI, Robotics, and Drone Development\u003cbr\u003eIn the rapidly evolving world of artificial intelligence, robotics, and autonomous systems, the need for advanced sensing technology has never been greater. The ORBBEC ASTRA Pro 3D Depth Camera stands at the forefront of this innovation, offering a powerful and versatile solution for developers, researchers, and engineers working in AI, robotics, and drone development. With a detection range of 0.6 to 8 meters, support for ROS1 and ROS2, and advanced capabilities in face recognition, this 3D depth camera is a must-have tool for anyone pushing the boundaries of intelligent systems.\u003cbr\u003eWhat is the ORBBEC ASTRA Pro 3D Depth Camera?\u003cbr\u003eThe ORBBEC ASTRA Pro is a high-performance 3D depth camera designed to deliver accurate depth sensing, real-time object detection, and facial recognition. It is specifically tailored for integration into AI-driven applications, robotic systems, and autonomous drones. Whether you're building a smart home assistant, a self-navigating robot, or a drone with obstacle avoidance capabilities, the ASTRA Pro provides the precision and reliability needed to bring your vision to life.\u003cbr\u003eKey Features of the ORBBEC ASTRA Pro\u003cbr\u003e1. Advanced 3D Depth Sensing (0.6–8M Range)\u003cbr\u003eThe ASTRA Pro is equipped with cutting-edge 3D depth sensing technology that allows it to capture detailed spatial data within a range of 0.6 to 8 meters. This makes it ideal for applications that require accurate distance measurement and spatial awareness, such as robotic navigation, gesture recognition, and autonomous drone flight.\u003cbr\u003e2. Support for ROS1 and ROS2\u003cbr\u003eOne of the standout features of the ASTRA Pro is its compatibility with ROS1 and ROS2 (Robot Operating System). This support enables seamless integration into robotic platforms and AI development environments, allowing developers to build and test complex robotic applications with ease. Whether you're working on a research project or a commercial product, the ASTRA Pro provides the tools you need to accelerate your development process.\u003cbr\u003e3. Face Recognition Capabilities\u003cbr\u003eThe ASTRA Pro is not just a depth camera—it's also a powerful tool for face recognition. With its advanced imaging sensors and processing capabilities, it can accurately detect and identify human faces in real time. This makes it an excellent choice for applications such as biometric authentication, smart surveillance systems, and AI-powered personal assistants.\u003cbr\u003e4. High-Resolution Depth and Color Imaging\u003cbr\u003eThe camera delivers high-resolution depth maps and color images simultaneously, providing a rich and detailed view of the environment. This dual-stream capability is essential for applications that require both visual and spatial data, such as augmented reality, 3D mapping, and object tracking.\u003cbr\u003e5. Compact and Rugged Design\u003cbr\u003eDespite its advanced capabilities, the ASTRA Pro is designed to be compact and lightweight, making it easy to integrate into a wide range of devices and platforms. Its rugged build ensures durability in both indoor and outdoor environments, making it suitable for use in drones, robots, and other mobile systems.\u003cbr\u003eApplications of the ORBBEC ASTRA Pro\u003cbr\u003eThe versatility of the ORBBEC ASTRA Pro makes it suitable for a wide range of applications across multiple industries. Here are just a few examples of how this 3D depth camera can be used:\u003cbr\u003eAI and Machine Learning Development\u003cbr\u003eFor AI developers, the ASTRA Pro provides a reliable source of 3D data for training and testing machine learning models. Its ability to capture depth and color information in real time makes it ideal for applications such as object detection, gesture recognition, and scene understanding.\u003cbr\u003eRobotics and Autonomous Systems\u003cbr\u003eIn the field of robotics, the ASTRA Pro is a valuable tool for enabling autonomous navigation, obstacle avoidance, and human-robot interaction. Its compatibility with ROS1 and ROS2 allows for easy integration into robotic platforms, making it a popular choice among researchers and engineers.\u003cbr\u003eDrone Development and Obstacle Avoidance\u003cbr\u003eDrones equipped with the ASTRA Pro can navigate complex environments with greater accuracy and safety. The camera's 3D depth sensing capabilities allow drones to detect and avoid obstacles in real time, making it an essential component for autonomous flight systems.\u003cbr\u003eSmart Home and Security Systems\u003cbr\u003eThe ASTRA Pro's face recognition capabilities make it a powerful tool for smart home and security applications. It can be used to create intelligent access control systems, monitor activity in real time, and enhance home automation with AI-driven features.\u003cbr\u003eAugmented Reality and 3D Mapping\u003cbr\u003eWith its high-resolution depth and color imaging, the ASTRA Pro is also well-suited for augmented reality (AR) and 3D mapping applications. It can be used to create immersive AR experiences, generate detailed 3D models of environments, and support spatial computing projects.\u003cbr\u003eWhy Choose the ORBBEC ASTRA Pro?\u003cbr\u003eWhen it comes to 3D depth sensing technology, the ORBBEC ASTRA Pro stands out for its combination of performance, versatility, and ease of integration. Here are a few reasons why it's the preferred choice for developers and engineers:\u003cbr\u003e- High Accuracy and Reliability: The ASTRA Pro delivers precise depth measurements and high-quality imaging, ensuring reliable performance in a wide range of environments.\u003cbr\u003e- Easy Integration: With support for ROS1 and ROS2, the camera is easy to integrate into robotic and AI platforms, reducing development time and effort.\u003cbr\u003e- Advanced Features: From face recognition to real-time object detection, the ASTRA Pro offers a wide range of advanced features that make it suitable for a variety of applications.\u003cbr\u003e- Compact and Durable Design: Its compact size and rugged build make it ideal for use in mobile and autonomous systems.\u003cbr\u003e- Cost-Effective Solution: Compared to other high-end 3D depth cameras, the ASTRA Pro offers excellent value for money, making it accessible to a wide range of users.\u003cbr\u003eGetting Started with the ORBBEC ASTRA Pro\u003cbr\u003eWhether you're a seasoned developer or just starting out in the world of AI and robotics, the ORBBEC ASTRA Pro is a powerful tool that can help you bring your ideas to life. With its support for ROS1 and ROS2, you can quickly integrate the camera into your development environment and start building intelligent systems.\u003cbr\u003eThe camera is compatible with a wide range of platforms and programming languages, making it easy to use with popular AI frameworks and libraries. Additionally, ORBBEC provides comprehensive documentation and support to help you get the most out of your ASTRA Pro.\u003cbr\u003eConclusion\u003cbr\u003eThe ORBBEC ASTRA Pro 3D Depth Camera is a cutting-edge device that combines advanced 3D depth sensing, face recognition, and real-time object detection in a compact and reliable package. With a detection range of 0.6 to 8 meters and support for ROS1 and ROS2, it is an essential tool for developers working in AI, robotics, and drone development.\u003cbr\u003eWhether you're building the next generation of autonomous robots, creating intelligent drones, or developing AI-powered applications, the ASTRA Pro provides the precision and performance you need to succeed. Its versatility, ease of integration, and advanced features make it a top choice for professionals and hobbyists alike.\u003cbr\u003eUpgrade your projects with the ORBBEC ASTRA Pro 3D Depth Camera and experience the future of intelligent sensing technology.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Witmotion","offers":[{"title":"Default Title","offer_id":41747958759557,"sku":"SN-000262-DVR","price":0.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/a2397b7c696d28af712458f9d124c66b.webp?v=1783329445"},{"product_id":"pico4ml-pro-tinyml-plug-n-play-rp2040-dev-kit-multiple-spi-camera-adapter","title":"Pico4ML-Pro TinyML Plug-n-Play RP2040 Dev Kit, Multiple SPI Camera Adapter","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\n\u003cp\u003eTo make Raspberry Pi Pico more robust for TFLite Micro, Arducam team took the Raspberry Silicon (also known as the RP2040 chip) and created Pico4ML, a microcontroller dev board made exclusively for running and training machine learning examples.\u003cbr\u003eAfter two years of accumulation, the Arducam team has developed an upgraded version of Pico4ML: Pico4ML-Pro TinyML Dev Kit. The kit comes with a large 2.4-inch screen, a microphone module, and a camera module for face recognition. Supports audio input\/output, face recognition, and User Interface. At the same time, the Pico4ML-Pro has four 6-pin SPI ports, allowing you to connect and use up to four Arducam Mega cameras at the same time.\u003cbr\u003eExtremely creative and expressive, Pico4ML Pro can make the implementation and expansion of your various projects smoother. The kit supports Gesture Detection, Wake Word Detection, and most importantly, the Magic Wand.\u003c\/p\u003e\n\u003ch2\u003eApplications\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eTraining Learning Model\u003c\/li\u003e\n\u003cli\u003eTinyML Development\u003c\/li\u003e\n\u003cli\u003eRobot Development\u003c\/li\u003e\n\u003cli\u003eMachine Learning\u003c\/li\u003e\n\u003cli\u003eOther Digital Projects\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eFeatures\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eLatest TinyML Dev Kit: Two years of accumulation, solid progress. Raspberry RP2040-based dev board, Committed to your own TinyML explorations. A Pro Version out of years of iterations.\u003c\/li\u003e\n\u003cli\u003eVersatile Integration: Pre-trained examples (Person Detection, Wake Word Detection, and Magic Wand), Plug and play. Photo taking, WiFi, SD card, USB mass storage.\u003c\/li\u003e\n\u003cli\u003eTouch and See: Shipped with all-in-one firmware, accessing all examples without reflashing the firmware.Super easy to use.\u003c\/li\u003e\n\u003cli\u003eHardware Enhanced: Equipped with a 2.4-Inch LCD Screen, improved performance of built-in microphone, camera, and IMU.\u003c\/li\u003e\n\u003cli\u003eMulti-Mega Adapter: Support connecting up to 4 Arducam Mega cameras at the same time. For both live streaming and photo taking.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable class=\"tg\"\u003e\n\u003ccolgroup\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003c\/colgroup\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth class=\"tg-75ta\"\u003eMicrocontroller\u003c\/th\u003e\n\u003cth class=\"tg-75ta\"\u003eRP2040\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eOperating Voltage\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e3.3V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eInput Voltage(limit)\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e5V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eDC Current per I\/O Pin\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e652mA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eClock Speed\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e133MHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eCPU Flash Memory\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e2MB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eSRAM\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e264KB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eUSB\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eUSB 1.1 Controller and PHY, with host and device support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eCamera Interface\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e4 SPI interface for mega and 1 1-wire camera for HM01B0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eSD Card Slot\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eSupport\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eLCD\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eSupport\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eIMU\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eSupport\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eMicrophone\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eSupport\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eTouch\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eSupport\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eWIFI\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eSupport\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003ePackage Including\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e1 x Pico4ML Pro TinyML Developer Kit\u003c\/li\u003e\n\u003cli\u003e4 x 150mm 6pin Cable\u003c\/li\u003e\n\u003cli\u003e1 x Acrylic Case and Screws\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eNote\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eThe package contains small contents, please keep it away from children to avoid accidental ingestion\u003c\/li\u003e\n\u003cli\u003eAfter receiving the package, please confirm whether the contents of the package are consistent with the description\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eDocumentation\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/docs.arducam.com\/Arduino-SPI-camera\/Legacy-SPI-camera\/Pico\/Arducam-Pico4ML-TinyML\/Pico4ML-Pro-TinyML-Dev-Kit\/\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eArducam Pico4ML TinyML Dev Kit\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/datasheets.raspberrypi.com\/pico\/getting-started-with-pico.pdf\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eGetting Start with Raspberry Pi Pico and RP2040\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.uctronics.com\/download\/Amazon\/B0432-Quick-Start-Guide.pdf\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eArducam Pico4ML-Pro TinyML Dev Kit Quick Start Guide\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"http:\/\/www.uctronics.com\/download\/Amazon\/B0432-Installation-Guide.pdf\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eArducam Pico4ML-Pro TinyML Dev Kit Installation Guide\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eVideo\u003c\/h2\u003e\n\u003cdiv\u003e\u003ciframe width=\"60%\" height=\"300px\" src=\"https:\/\/www.youtube.com\/embed\/hfwjPzSBOU8\" title=\"tinyML at Your Fingertips - Pico4ML-Pro by Arducam\"\u003e\u003c\/iframe\u003e\u003c\/div\u003e","brand":"Arducam","offers":[{"title":"Default Title","offer_id":41764817797253,"sku":"RP-000132-ADC","price":0.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/1_601477b7-f06f-4d08-ab05-cacd5b76b6d1.png?v=1784016683"},{"product_id":"mega-3mp-spi-camera-module-with-camera-case-for-any-microcontroller","title":"Mega 3MP SPI Camera Module with Camera Case for Any Microcontroller","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\n\u003cp\u003eArducam Mega 3MP Rolling Shutter camera is the latest product developed by Arducam Team. The Ultra High Stability and Accuracy and Open Source API features can realize your project more effectively. Arducam team is committed to creating more convenient and more efficient camera solutions. We have expanded the using scope of the image sensor, enabling the camera to realize your various projects. Meanwhile, the camera is featured 3MP Resolution and Super Sharp Images. In addition, we equip the camera with Stock Lens for your special projects.\u003c\/p\u003e\n\u003ch2\u003eApplications\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eAssets Monitoring\u003c\/li\u003e\n\u003cli\u003eSpace Journey\u003c\/li\u003e\n\u003cli\u003eEnvironmental Observation\u003c\/li\u003e\n\u003cli\u003eDynamics Capture\u003c\/li\u003e\n\u003cli\u003eloT Automation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eFeatures\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eEasy Using: Extremely easy to use. High-level commands were built in so you manipulate the camera through API access like using a DSLR camera via button clicks.\u003c\/li\u003e\n\u003cli\u003ePower Saving: Quick sleep and quick wake-up (within 42ms). No worry of loading long register settings. The power consumption is as low as under 200mW.\u003c\/li\u003e\n\u003cli\u003eMultiplexing: Up to 4 cameras running on a single MCU by using an adapter board. They capture at the same time with sequential readout then.\u003c\/li\u003e\n\u003cli\u003eOpen Source SDK: The SDK is fully open-source with MIT license. A lean architecture with a hardware abstraction layer, enabling you to add a new MCU without effort.\u003c\/li\u003e\n\u003cli\u003eOne Fits All: It fits any microcontroller with a single standard SPI interface (either native or mimic). 8-bit, 16-bit or 32-bit, ARM, RISC-V, or others. Arduino, STM8\/STM32, ESP8266\/ESP32, MSP430, Nordic, Renesas, and countless more.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable class=\"tg\"\u003e\n\u003ccolgroup\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003c\/colgroup\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth class=\"tg-75ta\"\u003eItem Type\u003c\/th\u003e\n\u003cth class=\"tg-75ta\"\u003eMega\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eOptical Size\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e1\/4''\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eSpeed\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e8Mhz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eNumber of effective pixels\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e2048x1536\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003ePower Supply\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e3.3V\/5V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eInterface\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eSPI(4-wire)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eShutter Type\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eRolling Shutter\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eColor Filter\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eColor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003ePower Consumption(ldle\/Working)\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e185mW-585mW\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eField of View\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e68.75°(D)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eF.NO\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eF2.8\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eLens Type\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eStock Lens\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eFocal Length\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e3.3mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eFocus Distance\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e0.6m-INF\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eElectric Current (Idle\/Working)\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e56mA-136mA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eOutput Format\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eRGB\/YUV\/JPEG\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eOverall Size\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e33x33x17 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eConnector No.\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eXH2.54-6P\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003ePackage Including\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e1 x Arducam Mega 3MP SPI Camera\u003c\/li\u003e\n\u003cli\u003e1 x 300mm 6pin cable\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eNote\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eThe package contains small contents, please keep it away from children to avoid accidental ingestion\u003c\/li\u003e\n\u003cli\u003eAfter receiving the package, please confirm whether the contents of the package are consistent with the description.\u003c\/li\u003e\n\u003cli\u003eNo MCU board (Arduino, STM8\/STM32, ESP8266\/ESP32, Rpi Pico, etc) is included in the package\u003c\/li\u003e\n\u003cli\u003eArducam Mega Camera can be used on any Microcontroller board, but note that you will need the corresponding code and software to use it, please refer to the following documentation for details.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eDocumentation\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/docs.arducam.com\/Arduino-SPI-camera\/MEGA-SPI\/MEGA-SPI-Camera\/\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eArducam Mega SPI Camera\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/docs.arducam.com\/Arduino-SPI-camera\/MEGA-SPI\/Troubleshooting\/\"\u003eTroubleshooting\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/docs.arducam.com\/Arduino-SPI-camera\/MEGA-SPI\/MEGA-Quick-Start-Guide\/\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eArducam Mega SPI Camera Quick Start Guide\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.arducam.com\/downloads\/datasheet\/Arducam_MEGA_SPI_Camera_Application_Note.pdf\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eMega SPI Camera Application Note\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eVideo\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003ciframe title=\"Arducam Mega - Auto Focus SPI Camera For Microcontrollers Review\" src=\"https:\/\/www.youtube.com\/embed\/j2fbdUto_1E\" width=\"561\" height=\"316\"\u003e\u003c\/iframe\u003e\u003cbr\u003e\u003ciframe title=\"SPI Camera for Any Microcontroller (ArduCam Mega)\" src=\"https:\/\/www.youtube.com\/embed\/5ygPx5FUH1Y\" width=\"561\" height=\"316\"\u003e\u003c\/iframe\u003e\u003cbr\u003e\u003ciframe title=\"Arducam Mega Camera || The Ultimate Camera for Arduino, ESP8266 \u0026amp; ESP32\" src=\"https:\/\/www.youtube.com\/embed\/vrH4phRbFKw\" width=\"561\" height=\"316\"\u003e\u003c\/iframe\u003e\u003cbr\u003e\u003ciframe title=\"Arducam Mega - A Camera Solution for ANY Microcontroller\" src=\"https:\/\/www.youtube.com\/embed\/fWxw7mcvguo\" width=\"561\" height=\"316\"\u003e\u003c\/iframe\u003e\u003cbr\u003e\u003ciframe title=\"Arducam Mega - User Case\" src=\"https:\/\/www.youtube.com\/embed\/XxuX_I2rHGg?si=x2Vbmry8r0tj9gwE\" width=\"561\" height=\"316\"\u003e\u003c\/iframe\u003e\n\u003c\/div\u003e","brand":"Arducam","offers":[{"title":"Default Title","offer_id":41764818387077,"sku":"RP-000133-ADC","price":0.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/1_bb3000b5-8faa-4926-9659-c9a4a9c15c7f.png?v=1784017558"},{"product_id":"arducam-12mp-imx708-autofocus-120-dfov-camera-module-3-with-hdr-mode-and-pdaf-function-for-raspberry-pi","title":"Arducam 12MP IMX708 Autofocus 120°(DFOV) Camera Module 3 with HDR Mode and PDAF Function for Raspberry Pi","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\n\u003cp\u003eArducam Camera Module 3 delivers high-quality images with its 12MP Sony IMX708 image sensor and HDR mode for up to 3MP output. Equipped with a 120° DFOV autofocus Lens, PDAF, and 2D DPC, this module offers excellent imaging performance. It is also compatible with Raspberry Pi 3, 4 A\/B, 5, and Pi Zero, etc..Arducam is committed to creating diverse and convenient camera solutions. Also, we designed various accessories for the Raspberry Pi Camera Module 3. Among them, including Camera Extension solution, Quad-Vision stereo camera kit, UVC USB camera solution, and upcoming FPD-Link solution, etc. For details, please refer to our official website www.arducam.com\u003c\/p\u003e\n\u003ch2\u003eApplications\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eAstrophotography\u003c\/li\u003e\n\u003cli\u003eSurveillance cameras\u003c\/li\u003e\n\u003cli\u003eFA cameras\u003c\/li\u003e\n\u003cli\u003eIndustrial\/Agricultural cameras\u003c\/li\u003e\n\u003cli\u003eAutonomous mobile robots, UGV\/UAV, ADAS, etc.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eFeatures\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eArducam Camera Module 3: Based on back-illuminated stacked CMOS 12-megapixel high-resolution Image Sensor (Sony IMX708) with HDR mode for up to the 3-megapixel output. Same basic functions as Raspberry Pi Official Camera Module 3.\u003c\/li\u003e\n\u003cli\u003eHigh-Quality Images: Capture high-quality images with a 120° DFOV autofocus lens and max resolution of 4608×2592. Built-in 2D DPC and QBC Re-mosaic functions ensure a high SNR.\u003c\/li\u003e\n\u003cli\u003eRapid Autofocus: Phase Detection Autofocus (PDAF) delivers rapid autofocus, ensuring that you never miss every shot.\u003c\/li\u003e\n\u003cli\u003ePlatform Compatibility: Supports Raspberry Pi 3, 4 A\/B, 5, equipped with 15-22pin and 22-22pin FPC flexible cables. Supports application on Raspberry Pi Zero and RPI Compute Modules.\u003c\/li\u003e\n\u003cli\u003eMass production and customization capabilities: Arducam offers much more than just standard product samples. We are committed to providing product features with greater practical value. Furthermore, we possess a robust production capacity to ensure long-term supply and long-term support.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable class=\"tg\"\u003e\n\u003ccolgroup\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003c\/colgroup\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-maf8\" colspan=\"2\"\u003eCamera Module\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eSensor\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eIMX708\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eResolution\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e11.9 Megapixels\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eChroma\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eColor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eShutter Type\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eRolling Shutter\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eOptical Format\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e1\/2.43\"\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003ePixel Size\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e1.4 µm x 1.4 µm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eSensor Active Area\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e4608(H)×2592(V)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eSensor Image Area\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e6.45 mm x 3.63 mm (7.4mm diagonal)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eOutput Format\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eRAW\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eResolution@fps\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e2304 × 1296p56, 2304 × 1296p30 HDR, 1536 × 864p120\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-maf8\" colspan=\"2\"\u003eLens\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eFocus Type\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eAutofocus\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eFOV\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e120°(D)x100°(H)x72°(V)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eLens Mount\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eStock Lens Mount\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eF.NO\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eF2.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eIR Sensitivity\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eIntegral 650nm IR Filter\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eDefault Focus Distance\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e10cm~INF\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-maf8\" colspan=\"2\"\u003eFunctional and Compatibility\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eHDR Mode\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eSupport\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eSupported Platform\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eRaspberry Pi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eSupported OS\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eBullseye\/Bookworm\/Trixie\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eCamera Interface\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eMIPI CSI-2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eMIPI Lanes\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e2-Lane Driver\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-maf8\" colspan=\"2\"\u003eElectrical and Mechanical\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eOperating Voltage\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e3.3V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003ePower Consumption\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eMAX:1.1W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eCamera Board Size\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e24×25 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eOverall Weight (Net)\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e13g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-maf8\" colspan=\"2\"\u003eStandard and Certifications\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eTemperature range (Storage)\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e-4°F-167°F (-20°C to +85°C)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eTemperature range (Operating)\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e32°F-122°F (0°C to +50°C)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eCertification\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eRoHS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003ePackage Including\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e1 x Arducam 12MP IMX708 120°DFOV Autofocus MIPI Camera Module\u003c\/li\u003e\n\u003cli\u003e1 x 15cm 15-15pin FFC Cable\u003c\/li\u003e\n\u003cli\u003e1 x 15cm 15-22pin FFC Cable\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eNotes\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eThe package contains small contents, please keep it away from children to avoid accidental ingestion.\u003c\/li\u003e\n\u003cli\u003eAfter receiving the package, please confirm whether the contents of the package are consistent with the description.\u003c\/li\u003e\n\u003cli\u003eNo Raspberry Pi board is included in the package\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eDocumentation\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/docs.arducam.com\/Raspberry-Pi-Camera\/Native-camera\/12MP-IMX708\/\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eRaspberry Pi V3 IMX708 Camera Introduction\u0026amp;Quick-Start\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eBlog\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/blog.arducam.com\/top-accessories-camera-module-3\/\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eRaspberry Pi Camera Module V3 Accessories\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Arducam","offers":[{"title":"Default Title","offer_id":41764819009669,"sku":"RP-000134-ADC","price":0.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/1_47e035c2-39d5-465d-b8d9-721061aed44a.png?v=1784018016"},{"product_id":"arducam-12mp-imx708-75-dfov-fixed-focus-hdr-mipi-camera-module-for-raspberry-pi","title":"Arducam 12MP IMX708 75°(DFOV) Fixed Focus HDR MIPI Camera Module for Raspberry Pi","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\n\u003cp\u003eRaspberry Pi Camera Module 3 is the high-performance camera module released by Raspberry Pi Official in 2023. Arducam has designed a Fixed-Focus camera variant based on it. The camera adopts Sony 11.9MP IMX708 Image Sensor, which can be used to take full HD video as well as still photographs, and features an HDR mode of up to 3 megapixels.The camera is equipped with a Fixed Focus Lens and integrated IR-cut filter, which is more stable and faster when focusing compared with the Autofocus Lens. It is fully supported by the libcamera and Picamera2 libraries. Arducam is committed to creating diverse and convenient camera solutions. Also, we designed various accessories for the Raspberry Pi Camera Module 3. Among them, including Camera Extension solution, Quad-Vision stereo camera kit, UVC USB camera solution, and upcoming FPD-Link solution, etc. For details, please refer to our official website www.arducam.com\u003c\/p\u003e\n\u003ch2\u003eApplications\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eWildlife Photograph\u003c\/li\u003e\n\u003cli\u003eMachine Learning\u003c\/li\u003e\n\u003cli\u003eHigh-Quality Monitor\u003c\/li\u003e\n\u003cli\u003eAI applications\u003c\/li\u003e\n\u003cli\u003eVision Transition Project\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eFeatures\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eComplementary to RPI V3: A fixed focus supplement to the Raspberry Pi IMX708 autofocus camera module 3, catering to lots of use cases where auto-focus lenses are improper or unsafe.\u003c\/li\u003e\n\u003cli\u003eArducam Camera Module 3: Based on back-illuminated stacked CMOS 12-megapixels high resolution Image Sensor (Sony IMX708) with HDR mode for up to 3-megapixel output. Same basic functions as Raspberry Pi Official Camera Module 3.\u003c\/li\u003e\n\u003cli\u003eQuality Images: Armed with a 75 °(DFOV) fixed focus lens and the max resolution reaches 4608 × 2592. Compared to an autofocus lens, it realizes a faster-focusing speed hence stabler images. Along with built-in 2D DPC and QBC Re-mosaic function, offering a high signal-to-noise ratio (SNR). The high resolution and performance of the sensor enable the camera to capture ultra-high quality images.\u003c\/li\u003e\n\u003cli\u003eNative to Raspberry Pi: Natively supported by Raspberry Pi. No additional driver is needed when using the camera on Raspberry Pi. You only need to make some modifications in the config file. Supports Raspberry Pi OS and libcamera command.\u003c\/li\u003e\n\u003cli\u003ePlatform Compatibility: Supports Raspberry Pi 3, 4 A\/B, equipped with 15-22pin and 15-15pin FPC flexible cables. Supports application on Raspberry Pi Zero.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable class=\"tg\"\u003e\n\u003ccolgroup\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003c\/colgroup\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-maf8\" colspan=\"2\"\u003eCamera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eSensor\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eIMX708\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eResolution\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e11.9 Megapixels\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eChroma\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eColor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eShutter Type\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eRolling Shutter\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eOptical Format\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e1\/2.43\"\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003ePixel Size\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e1.4 µm x 1.4 µm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eSensor Active Area\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e4608(H)×2592(V)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eSensor Image Area\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e6.45 mm x 3.63 mm (7.4mm diagonal)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eOutput Format\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eRAW\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eResolution@fps\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e2304 × 1296p56, 2304 × 1296p30 HDR, 1536 × 864p120\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-maf8\" colspan=\"2\"\u003eLens\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eFocus Type\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eFixed Focus\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eFOV\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e75°(D)x66°(H)x41°(V)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eLens Mount\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eStock Lens Mount\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eF.NO\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eF1.8\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eE.F.L\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e4.74mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eIR Sensitivity\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eIntegral 650nm IR Filter\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eDefault Focus Distance\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e150cm~INF\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eDistrotion\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e\u0026lt;1%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-maf8\" colspan=\"2\"\u003eFunctionality and Compatibility\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eHDR Mode\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eSupport\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eSupported Platform\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eRaspberry Pi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eSupported OS\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eBullseye\/Bookworm\/Trixie\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eCamera Interface\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eMIPI CSI-2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eMIPI Lanes\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e2-Lane Driver\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-maf8\" colspan=\"2\"\u003eElectrical and Mechanical\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eOperating Voltage\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e3.3V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003ePower Consumption\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eMAX:1.1W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eCamera Board Size\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e24×25 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eOverall Weight (Net)\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e8g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-maf8\" colspan=\"2\"\u003eStandard and Certifications\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eTemperature range (Storage)\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e-4°F-167°F (-20°C to +85°C)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eTemperature range (Operating)\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e32°F-122°F (0°C to +50°C)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eCertification\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eRoHS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003ePackage Including\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e1 x Arducam 12MP IMX708 FF MIPI Camera Module\u003c\/li\u003e\n\u003cli\u003e1 x 15cm 15-15pin FFC Cable\u003c\/li\u003e\n\u003cli\u003e1 x 15cm 15-22pin FFC Cable\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eNotes\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eThe package contains small contents, please keep it away from children to avoid accidental ingestion\u003c\/li\u003e\n\u003cli\u003eAfter receiving the package, please confirm whether the contents of the package are consistent with the description\u003c\/li\u003e\n\u003cli\u003eNo Raspberry Pi board is included in the package\u003c\/li\u003e\n\u003cli\u003eThis camera is native supported by Raspberry Pi, you don't need additional driver to run it, but you will need some configuration, please refer to the following doc.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eDocumentation\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/docs.arducam.com\/Raspberry-Pi-Camera\/Native-camera\/12MP-IMX708\/\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eQuick Start Guide\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eBlog\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/blog.arducam.com\/top-accessories-camera-module-3\/\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eRaspberry Pi Camera Module V3 Accessories\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Arducam","offers":[{"title":"Default Title","offer_id":41764826742917,"sku":"RP-000135-ADC","price":0.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/1_3c9ec84a-7f1f-4cb5-88ae-7aa5829822ce.png?v=1784018989"},{"product_id":"arducam-12mp-imx708-120-dfov-wide-angle-fixed-focus-hdr-mipi-camera-module-for-raspberry-pi","title":"Arducam 12MP IMX708 120 °(DFOV) Wide-Angle Fixed Focus HDR MIPI Camera Module for Raspberry Pi","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\n\u003cp\u003eRaspberry Pi Camera Module 3 series is the high-performance camera series released by Raspberry Pi Official in 2023. Arducam has designed a Fixed-Focus camera variant based on the Official Wide-Angle Camera Module 3. The camera adopts Sony's 11.9MP IMX708 Image Sensor, which can be used to take full HD video as well as still photographs, and features an HDR mode of up to 3 megapixels. It is equipped with a 120 Degree Wide-Angle Fixed Focus Lens and an integrated IR-cut filter, which is more stable and faster when focusing compared with the Autofocus Lens, especially for the wide range projects. It is fully supported by the libcamera and Picamera2 libraries. Arducam is committed to creating diverse and convenient camera solutions. Also, we designed various accessories for the Raspberry Pi Camera Module 3. Among them, are Camera Extension solution, Quad-Vision stereo camera kit, UVC USB camera solution, and upcoming FPD-Link solution, etc. For details, please refer to our official website www.arducam.com\u003c\/p\u003e\n\u003ch2\u003eApplications\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eWildlife Photograph\u003c\/li\u003e\n\u003cli\u003eMachine Learning\u003c\/li\u003e\n\u003cli\u003eHigh-Quality Monitor\u003c\/li\u003e\n\u003cli\u003eAI applications\u003c\/li\u003e\n\u003cli\u003eWide-Range Project\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eFeatures\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eComplementary to RPI V3: A fixed focus supplement to the Raspberry Pi IMX708 autofocus camera module 3, catering to lots of use cases where auto-focus lenses are improper or unsafe.\u003c\/li\u003e\n\u003cli\u003eArducam Camera Module 3: Based on a back-illuminated stacked CMOS 12-megapixels high resolution Image Sensor (Sony IMX708) with HDR mode for up to the 3-megapixel output. Same basic functions as Raspberry Pi Official Camera Module 3.\u003c\/li\u003e\n\u003cli\u003eWide Range Quality Images: Armed with a 120° Wide Angle Fixed Focus Lens. A wide-angle lens allows a wider field of view for landscape photography. The max resolution reaches 4608 × 2592. Along with built-in 2D DPC and QBC Re-mosaic function, offering a high signal-to-noise ratio (SNR). The high resolution and performance of the sensor enable the camera to capture ultra-high-quality images.\u003c\/li\u003e\n\u003cli\u003eNative to Raspberry Pi: Natively supported by Raspberry Pi. No additional driver is needed when using the camera on Raspberry Pi. You only need to make some modifications to the config file.\u003c\/li\u003e\n\u003cli\u003ePlatform Compatibility: Supports Raspberry Pi 3, 4 A\/B, 5, equipped with 15-22pin and 15-15pin FPC flexible cable. Supports application on Raspberry Pi Zero.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable class=\"tg\"\u003e\n\u003ccolgroup\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003c\/colgroup\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" class=\"tg-maf8\"\u003eCamera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eSensor\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eIMX708\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eResolution\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e11.9 Megapixels\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eChroma\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eColor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eShutter Type\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eRolling Shutter\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eOptical Format\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e1\/2.43\"\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003ePixel Size\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e1.4 µm x 1.4 µm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eSensor Active Area\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e4608(H)×2592(V)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eSensor Image Area\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e6.45 mm x 3.63 mm (7.4mm diagonal)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eOutput Format\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eRAW\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eResolution@fps\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e2304 × 1296p56, 2304 × 1296p30 HDR, 1536 × 864p120\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" class=\"tg-maf8\"\u003eLens\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eFocus Type\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eFixed Focus\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eFOV\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e120°(D)x102°(H)x67°(V)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eLens Mount\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eStock Lens Mount\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eF.NO\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eF2.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eE.F.L\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e2.75mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eIR Sensitivity\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eIntegral 650nm IR Filter\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eDefault Focus Distance\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e150cm~INF\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eDistrotion\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e\u0026lt;-22.30%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" class=\"tg-maf8\"\u003eFunctionality and Compatibility\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eHDR Mode\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eSupport\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eSupported Platform\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eRaspberry Pi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eSupported OS\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eBullseye\/Bookworm\/Trixie\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eCamera Interface\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eMIPI CSI-2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eMIPI Lanes\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e2-Lane Driver\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" class=\"tg-maf8\"\u003eElectrical and Mechanical\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eOperating Voltage\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e3.3V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003ePower Consumption\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eMAX:1.1W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eCamera Board Size\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e24×25 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eOverall Weight (Net)\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e8g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" class=\"tg-maf8\"\u003eStandard and Certifications\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eTemperature range (Storage)\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e-4°F-167°F (-20°C to +85°C)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eTemperature range (Operating)\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e32°F-122°F (0°C to +50°C)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eCertification\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eRoHS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003ePackage Including\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e1 x Arducam 12MP IMX708 FF Wide-Angle MIPI Camera Module\u003c\/li\u003e\n\u003cli\u003e1 x 15cm 15-15pin FFC Cable\u003c\/li\u003e\n\u003cli\u003e1 x 15cm 15-22pin FFC Cable\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eNotes\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eThe package contains small contents, please keep it away from children to avoid accidental ingestion\u003c\/li\u003e\n\u003cli\u003eAfter receiving the package, please confirm whether the contents of the package are consistent with the description\u003c\/li\u003e\n\u003cli\u003eNo Raspberry Pi board is included in the package\u003c\/li\u003e\n\u003cli\u003eThis camera is natively supported by Raspberry Pi, you don't need an additional driver to run it, but you will need some configuration, please refer to the following doc.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eDocumentation\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca rel=\"noopener noreferrer\" href=\"https:\/\/docs.arducam.com\/Raspberry-Pi-Camera\/Native-camera\/12MP-IMX708\/\" target=\"_blank\"\u003eRaspberry Pi V3 IMX708 Camera Introduction\u0026amp;Quick-Start\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eBlog\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca rel=\"noopener noreferrer\" href=\"https:\/\/blog.arducam.com\/top-accessories-camera-module-3\/\" target=\"_blank\"\u003eRaspberry Pi Camera Module V3 Accessories\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Arducam","offers":[{"title":"Default Title","offer_id":41764830412933,"sku":"RP-000136-ADC","price":0.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/1_e566ca09-cffa-4620-809e-aef6450403bd.png?v=1784019617"},{"product_id":"arducam-imx219-wide-angle-camera-module-for-nvidia®-jetson-agx-orin-orin-nano-orin-nx","title":"Arducam IMX219 Wide Angle Camera Module for NVIDIA® Jetson AGX Orin\/Orin Nano\/Orin NX","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\n\u003cp\u003eThis Arducam IMX219 camera module is mainly designed for NVIDIA® Jetson Board and also can be used on other hardware like ARM, DSP, FPGA, etc. The highlight of this camera is its wide field of view.\u003c\/p\u003e\n\u003cp\u003eCurrently, NVIDIA official has released the NVIDIA Jetson Orin series developer board. Based on it, we have also adapted the camera into NVIDIA Jetson Orin kernel.\u003cbr\u003eThe lens on this camera is not interchangeable.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eNote:\u003c\/li\u003e\n\u003cli\u003eFor the Orin Nano\/Orin NX, a 22-22 pin FFC cable is included. If you are using an AGX Orin, an additional camera adapter \u003cspan style=\"font-size: 0.875rem;\"\u003eis required.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cul\u003e\n\u003cli\u003eThis camera does not support the standard Raspberry Pi models (like Raspberry Pi 3\/3B+\/4).\u003c\/li\u003e\n\u003cli\u003e★KERNEL CAMERA DRIVER USED\u003c\/li\u003e\n\u003cli\u003eThis camera relies on kernel drivers to work – one kernel version, one camera driver. Please refer to the Supported JetPack Version for Different NVIDIA Jetson Platforms to ensure compatibility.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e★ SUPPORTED PLATFORM DISCLAIMER\u003cbr\u003eThis camera is specifically designed for the official NVIDIA® Jetson™ Developer Kit by default and does not support third-party carrier boards.\u003c\/p\u003e\n\u003ch2\u003eFeatures\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eSony 8MP IMX219 Sensor\u003c\/li\u003e\n\u003cli\u003eOptical Format: 1\/4 inch\u003c\/li\u003e\n\u003cli\u003eData Format: RAW8\/RAW10\u003c\/li\u003e\n\u003cli\u003eEFL: 1.3mm\u003c\/li\u003e\n\u003cli\u003eF.NO: 2.0\u003c\/li\u003e\n\u003cli\u003eFocus Type: Fixed Focus\u003c\/li\u003e\n\u003cli\u003eView Angle: 175(D) x 155(H) x 115(V)\u003c\/li\u003e\n\u003cli\u003eInterface: MIPI CSI-2 2-lane\/4-lane\u003c\/li\u003e\n\u003cli\u003eIR Sensitivity: Integral IR Filter, visible light only\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ch3\u003eCamera\u003c\/h3\u003e\n\u003ctable class=\"tg\"\u003e\n\u003ccolgroup\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eImage Sensor\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eIMX219\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eStill Resolution\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e8 Megapixels\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eVideo Modes\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eNVIDIA Jetson Orin NX\/Orin Nano\/AGX Orin:\u003cbr\u003e3280x2464@21fps, 3280x1848@28fps, 1920x1080@30fps, 1640x1232@30fps, 1280x720@60fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eSensor Resolution\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e3280 × 2464 pixels\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eSensor image area\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e3.68 x 2.76 mm (4.6 mm diagonal)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003ePixel Size\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e1.12 µm x 1.12 µm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eOptical Size\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e1\/4\"\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eIR Sensitivity\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eIntegral IR-cut Filter, visible light only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eLens\u003c\/h3\u003e\n\u003ctable class=\"tg\"\u003e\n\u003ccolgroup\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth class=\"tg-75ta\"\u003eFocus Type\u003c\/th\u003e\n\u003cth class=\"tg-75ta\"\u003eManual Focus\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eFocal Length\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e1.3mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eF.NO\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eF2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eField of View(FOV)\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e155°(H)×115°(V)×175°(D)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eLens Mount\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eM12 Mount\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch3\u003eElectrical \u0026amp; Mechanical\u003c\/h3\u003e\n\u003ctable class=\"tg\"\u003e\n\u003ccolgroup\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eCamera Board Size\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e25 x 24mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003ePeaking Current\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e300mA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003ePackage Including\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e1pcs Arducam IMX219 Wide Angle Camera Module for NVIDIA Jetson Board\u003c\/li\u003e\n\u003cli\u003e1pcs 15cm 15-22pin FPC cable\u003c\/li\u003e\n\u003cli\u003e1pcs 15cm 22-22pin FPC cable\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eDocumentation\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/docs.arducam.com\/Nvidia-Jetson-Camera\/Nvidia-Jetson-Orin\/Introduction\"\u003eHow to use the camera on NVIDIA Jetson Orin NX\/AGX Orin\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003eHow to use the camera on Jetson\n\u003cdiv class=\"su-posts su-posts-default-loop\"\u003e\n\u003cdiv id=\"su-post-26326\" class=\"su-post\"\u003e\n\u003ch2 class=\"su-post-title\"\u003e\u003ca href=\"https:\/\/www.arducam.com\/?p=26326\"\u003eIMX219 – 8MP Camera\u003c\/a\u003e\u003c\/h2\u003e\n\u003cdiv class=\"su-post-meta\"\u003ePosted: August 6, 2020\u003c\/div\u003e\n\u003cdiv class=\"su-post-excerpt\"\u003e\n\u003cp\u003eIntroduction IMX219 is a 1\/4″ 8MP MIPI CSI-2 image sensor, it was adopted by the Raspberry pi V2 camera module back in 2016. Now the IMX219 camera is natively supported by the Jetson Nano and Xavier NX out of the box. Arducam made a lot of variation of this camera to address different use-cases for […]\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cdiv id=\"attachment_13623\" class=\"wp-caption alignleft\"\u003e\n\u003ca href=\"https:\/\/www.arducam.com\/downloads\/modules\/RaspberryPi_camera\/IMX219DS.PDF\"\u003e\u003cimg aria-describedby=\"caption-attachment-13623\" src=\"https:\/\/www.arducam.com\/wp-content\/uploads\/2019\/11\/arducam-doc-logo-150-150.png\" alt=\"arducam-doc-logo-150-150\" width=\"150\" height=\"150\" class=\"wp-image-13623 size-full\"\u003e\u003c\/a\u003e\n\u003cp id=\"caption-attachment-13623\" class=\"wp-caption-text\"\u003eDatasheet.pdf\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"attachment_13623\" class=\"wp-caption alignleft\"\u003e\n\u003ca href=\"https:\/\/www.uctronics.com\/download\/Mechanical_Drawing\/UC-609(B0179\u0026amp;B0193).STEP\"\u003e\u003cimg aria-describedby=\"caption-attachment-13623\" src=\"https:\/\/www.arducam.com\/wp-content\/uploads\/2019\/11\/arducam-doc-logo-150-150.png\" alt=\"arducam-doc-logo-150-150\" width=\"150\" height=\"150\" class=\"wp-image-13623 size-full\"\u003e\u003c\/a\u003e\n\u003cp id=\"caption-attachment-13623\" class=\"wp-caption-text\"\u003e3D drawing.step\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eVideo\u003c\/h2\u003e\n\u003cdiv class=\"su-youtube su-u-responsive-media-yes\"\u003e\u003ciframe width=\"600\" height=\"400\" src=\"https:\/\/www.youtube.com\/embed\/9rOAU0fMtPE?\" title=\"\"\u003e\u003c\/iframe\u003e\u003c\/div\u003e","brand":"Arducam","offers":[{"title":"Default Title","offer_id":41764830740613,"sku":"RP-000137-ADC","price":0.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/1_9f0fa61f-e3e1-4bbd-b886-9f8ccee9cbc7.png?v=1784020034"},{"product_id":"8mp-imx219-camera-module-for-raspberry-pi-with-low-distortion-88-d-fov-m12-lens","title":"8MP IMX219 Camera Module for Raspberry Pi, with Low Distortion 88°(D) FOV M12 Lens","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\n\u003cp\u003eThis Arducam IMX219 camera module is mainly designed for Raspberry Pi. The highlight of this camera is its very low distortion (\u0026lt;3%) of the lens. No less than the Raspberry Pi official camera V2, this camera module is also equipped with a high-definition IMX219 8MP sensor for shooting HD video and still images.It is excellent in image quality, color fidelity, and low light, and supports still capture.For beginners, this is a very easy camera module to get started; for advanced players, this camera module has more knowledge that you should explore and DIY.\u003c\/p\u003e\n\u003ch2\u003eApplications\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eAstrophotography\u003c\/li\u003e\n\u003cli\u003eSurveillance cameras\u003c\/li\u003e\n\u003cli\u003eFA cameras\u003c\/li\u003e\n\u003cli\u003eIndustrial\/Agricultural cameras\u003c\/li\u003e\n\u003cli\u003eAutonomous mobile robots, UGV\/UAV, ADAS, etc.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eFeatures\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eHigh-Speed Data Interface: Standard 2-lane MIPI CSI-2 interface with configurable 4-lane high-performance mode. Delivers maximum bandwidth for high-resolution sensor data transmission while maintaining compatibility with mainstream embedded platforms.\u003c\/li\u003e\n\u003cli\u003eRaspberry Pi Camera: Designed for Raspberry Pi, this 8MP HD camera module has a Sony IMX219 8MP pixel sensor with low distortion (\u0026lt;3%) M12 lens. EFL: 2.8mm, F.NO: 2.8, View Angle: 75 Deg. (Horizontal).\u003c\/li\u003e\n\u003cli\u003e8MP More than HD: Supports 3280 × 2464 pixel still images, and still captures. The Raspberry Pi Camera Board v2 - 8 Megapixels is a leap forward in image quality, color fidelity, and low light than the camera v1.\u003c\/li\u003e\n\u003cli\u003eWide Compatibility: The camera is compatible with all Raspberry Pi 1, 2, 3, and 4 models, and with Raspberry Pi Zero and Zero 2W, which can be easily used with a simple configuration.\u003c\/li\u003e\n\u003cli\u003eEasy to setup: The package comes with a 15cm 22-22pin FPC cable, and a 15cm yellow 15-22pin FPC cable. Simply connect the Raspberry Pi board and camera with the FPC cable and you can easily use this 8MP high-quality camera.\u003c\/li\u003e\n\u003cli\u003eApplication: Easy to use for beginners, and for advanced gamers, it offers more to explore. Perfect for time-lapse, slow motion, home security applications, monitoring Octoprint 3D Printer, and wildlife camera trap applications.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ch3\u003eCamera\u003c\/h3\u003e\n\u003ctable class=\"tg\"\u003e\n\u003ccolgroup\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eImage Sensor\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eIMX219\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eStill Resolution\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e8 Megapixels\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eVideo Modes\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e1080p47, 1640 × 1232p41 and 640 × 480p206\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eSensor Resolution\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e3280 × 2464 pixels\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eSensor image area\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e3.68 x 2.76 mm (4.6 mm diagonal)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003ePixel Size\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e1.12 µm x 1.12 µm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eOptical Size\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e1\/4\"\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eIR Sensitivity\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eIntegral IR-cut Filter, visible light only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eLens\u003c\/h3\u003e\n\u003ctable class=\"tg\"\u003e\n\u003ccolgroup\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth class=\"tg-75ta\"\u003eFocus Type\u003c\/th\u003e\n\u003cth class=\"tg-75ta\"\u003eManual Focus\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eFocal Length\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e2.8mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eF.NO\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eF2.8\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eField of View(FOV)\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e88°(D)x75°(H)x60°(V)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eLens Mount\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eM12 Mount\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eDistortion\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e\u0026lt;3%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch3\u003eElectrical \u0026amp; Mechanical\u003c\/h3\u003e\n\u003ctable class=\"tg\"\u003e\n\u003ccolgroup\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth class=\"tg-75ta\"\u003eInterface\u003c\/th\u003e\n\u003cth class=\"tg-75ta\"\u003eMIPI CSI-2\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eData Lanes\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e2-lane (default), configurable to 4-lane\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"tg-75ta\"\u003eCamera Board Size\u003c\/th\u003e\n\u003cth class=\"tg-75ta\"\u003e24mm x 25mm\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003ePeaking Current\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e300mA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003ePackage Including\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e1 x 15cm 15-22pin FPC cable\u003c\/li\u003e\n\u003cli\u003e1 x 15cm 22-22pin FFC cable\u003c\/li\u003e\n\u003cli\u003e1 x IMX219 Camera Module with Low Distortion M12 Lens\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eNote\u003c\/h2\u003e\n\u003cdiv class=\"widget block block-static-block\"\u003e\n\u003cdiv data-content-type=\"html\" data-appearance=\"default\" data-element=\"main\" data-decoded=\"true\"\u003e\n\u003cul\u003e\n\u003cli\u003eThe package does not include any Raspberry Pi motherboard.\u003c\/li\u003e\n\u003cli\u003eThe drop-in replacement module does not include FPC cables and any camera boards. And it requires the use of the Raspberry Pi V2 camera board to function properly.\u003c\/li\u003e\n\u003cli\u003eThe lenses of all camera modules are not interchangeable. \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ctable class=\"tg\"\u003e\n\u003ccolgroup\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003c\/colgroup\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth class=\"tg-kpnx\" colspan=\"5\"\u003eNote on Supported Raspberry Pi Boards and OS\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-qbk9\"\u003ePlatform\u003c\/td\u003e\n\u003ctd class=\"tg-qbk9\"\u003eTrixie(rpicam)\u003c\/td\u003e\n\u003ctd class=\"tg-qbk9\"\u003eBookworm(rpicam)\u003c\/td\u003e\n\u003ctd class=\"tg-qbk9\"\u003eBullseye(libcamera)\u003c\/td\u003e\n\u003ctd class=\"tg-qbk9\"\u003eBuster(raspistill)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-fsme\"\u003eRaspberry Pi 5\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e√\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e√\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-fsme\"\u003eRaspberry Pi 4B \/ 3B+ \/ 3A+ \/ Zero \/ Zero 2 W\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e√\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e√\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e√\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-fsme\"\u003eRaspberry Pi CM3 \/ CM3+ \/ CM4 \/ CM5\u003cbr\u003e(extra carrier board required)\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e√\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e√\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e√\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e√\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2\u003eDocumentation\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/docs.arducam.com\/Raspberry-Pi-Camera\/Native-camera\/8MP-IMX219\/\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eIMX219 Standrad Camera Used on Raspberry Pi\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/docs.arducam.com\/Raspberry-Pi-Camera\/Native-camera\/8MP-IMX219\/#imx219-4-lane-configuration\"\u003eArducam IMX219 Camera 4-lane Configuration for Raspberry Pi\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Arducam","offers":[{"title":"Default Title","offer_id":41764836802693,"sku":"RP-000138-ADC","price":0.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/1_e0d4ecba-ac2d-460d-9adb-b7ca841b0b50.png?v=1784021011"},{"product_id":"arducam-477p-high-quality-camera-for-raspberry-pi-12-3mp-1-2-3-inch-hq-camera-module-with-6mm-cs-lens-for-pi-4b-3b-2b-3a-pi-zero-and-more","title":"Arducam 477P High Quality Camera for Raspberry Pi, 12.3MP 1\/2.3 Inch HQ Camera Module with 6mm CS Lens for Pi 4B, 3B+, 2B, 3A+, Pi Zero and more","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\n\u003cp\u003eThe official Pi HQ camera is only available in one model. It doesn't come with a lens and it is also not easy for the users to find a case. To solve these pain points, Arducam released this camera module, a customized 477P camera board with three-hole pitches and a 6mm CS lens. And you can download our 3D files to print your case as you like.\u003cbr\u003eArducam is committed to creating diverse and convenient camera solutions for embedded camera users. We are not only engaged in the production and development of optical products, but also strive to provide complete solutions for embedded cameras, optical components, etc.\u003c\/p\u003e\n\u003ch2\u003eApplications\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eUAV\/Drones\/FPV camera\u003c\/li\u003e\n\u003cli\u003eMachine Vision\u003c\/li\u003e\n\u003cli\u003eRobotics\u003c\/li\u003e\n\u003cli\u003eFace Recognition\u003c\/li\u003e\n\u003cli\u003eDefect Detection\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eFeatures\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eHigh Quality Camera: Adopts a 1\/2.3″ 12 Megapixel sensor for sharp image, max. still resolution 4056 x 3040.\u003c\/li\u003e\n\u003cli\u003eLess Hassle: Including 1\/2.3″ 6mm focal length CS lens and the 3D file.\u003c\/li\u003e\n\u003cli\u003eMore Than Ultra HD: Come with an interchangeable CS lens with a FOV of 65°(H), which can capture UHD images while maintaining reality.\u003c\/li\u003e\n\u003cli\u003eWide Compatibility: Not only compatible with Raspberry Pi 1, 2, 3, and 4, but also with Raspberry Pi Zero and Zero 2W.\u003c\/li\u003e\n\u003cli\u003eNative to Raspberry Pi: No need to install additional driver for this camera\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ch3\u003eCamera\u003c\/h3\u003e\n\u003ctable class=\"tg\"\u003e\n\u003ccolgroup\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eStill Resolution\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e12.3 Megapixels\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eVideo Modes\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e2028 × 1080p50, 2028 × 1520p40 and 1332 × 990p120\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eSensor Resolution\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e4056 x 3040 pixels\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eSensor image area\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e6.287mm x 4.712 mm (7.9mm diagonal)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003ePixel Size\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e1.55 µm x 1.55 µm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eOptical Size\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e1\/2.3\"\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eIR Sensitivity\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eIntegral IR-cut Filter, visible light only\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eSupported Platform\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eRaspberry Pi 5\/4B\/3B+\/3\/2\/CM3\/CM4\/CM5\/Zero W\/Zero 2 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eLens\u003c\/h3\u003e\n\u003ctable class=\"tg\"\u003e\n\u003ccolgroup\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth class=\"tg-75ta\"\u003eFocus Type\u003c\/th\u003e\n\u003cth class=\"tg-75ta\"\u003eManual Focus\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eFocal Length\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e6mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eF.NO\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eF1.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eField of View(FOV)\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e65°(H)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eLens Mount\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eCS-Mount\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eMOD\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e0.2mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eBack Focal Length\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e7.53mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eLens Dimension\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eΦ30×31mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch3\u003eElectrical \u0026amp; Mechanical\u003c\/h3\u003e\n\u003ctable class=\"tg\"\u003e\n\u003ccolgroup\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth class=\"tg-75ta\"\u003eCamera Board Size\u003c\/th\u003e\n\u003cth class=\"tg-75ta\"\u003e38 × 38mm\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eHole Pitch\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eCompatible with 29mm, 30mm, 34mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"tg-75ta\"\u003ePeaking Current\u003c\/th\u003e\n\u003cth class=\"tg-75ta\"\u003e300mA\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003ePackage Including\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e1 x 12MP Camera Module with 6mm CS Lens\u003c\/li\u003e\n\u003cli\u003e1 x 300mm\/11.8inch 15pin to 15pin camera cable\u003c\/li\u003e\n\u003cli\u003e1 x 300mm\/11.8inch 15pin to 22pin camera cable\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eNote\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eThe package contains small contents, please keep it away from children to avoid accidental ingestion\u003c\/li\u003e\n\u003cli\u003eAfter receiving the package, please confirm whether the contents of the package are consistent with the description\u003c\/li\u003e\n\u003cli\u003eNo Raspberry Pi board is included in the package\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eDocumentation\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/docs.arducam.com\/Raspberry-Pi-Camera\/Native-camera\/12MP-IMX477\/\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eArducam High Quality Camera Module\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Arducam","offers":[{"title":"Default Title","offer_id":41764837982341,"sku":"RP-000139-ADC","price":0.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/1_464e62a5-caea-4328-b58d-b9cc5ac0850d.png?v=1784021686"},{"product_id":"arducam-mini-imx519-pdaf-cdaf-autofocus-camera-module","title":"Arducam Mini IMX519 PDAF\u0026CDAF Autofocus Camera Module","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003eA 16MP autofocus high-resolution camera board that takes what Raspberry Pi V1, V2, and HQ have to offer, and excels in every single aspect. It takes zero compromises in specs. With a resolution of 16 megapixels (compared to 8MP and 12MP), an autofocus lens, a V2-like form factor, and boatloads of improvements, the camera provide a better choice for a whole world of industrial\/consumer\/etc. applications, it’s compatible with any existing Pi models, work with the latest software from the foundation, and leverages the same tuning algorithms used in the official camera modules. Currently, NVIDIA official has released the NVIDIA Jetson Orin series developer board. Based on it, we have also adapted the camera into NVIDIA Jetson Orin kernel.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2\u003eApplications\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eTime-lapse Machine\u003c\/li\u003e\n\u003cli\u003eDSLR Camera Control\u003c\/li\u003e\n\u003cli\u003eSecurity System\u003c\/li\u003e\n\u003cli\u003eSmart Video Doorbell\u003c\/li\u003e\n\u003cli\u003eFace Recognition\u003c\/li\u003e\n\u003cli\u003eInstant (Polaroid-Style) Camera, etc.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eFeatures\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eHigh-Resolution Camera: Utilizes the IMX519 CMOS sensor with a 16MP capacity, ensuring exceptional sharpness and clarity for both images and videos.\u003c\/li\u003e\n\u003cli\u003eCrisp Imaging: Delivers stunning still images at a maximum resolution of 4656*3496 pixels and supports various frame rates, including 1080p60, 4656x3496 at 9fps, and 3840x2160 at 20fps, providing flexibility for different recording needs.\u003c\/li\u003e\n\u003cli\u003eCompact Design: Featuring a mini camera board size of 24x25mm, this module offers a compact form factor that seamlessly integrates into various projects, providing versatility without compromising on quality.\u003c\/li\u003e\n\u003cli\u003eTailored Compatibility: Compatible with Raspberry Pi and NVIDIA Jetson platforms, this IMX519 camera module ensures effortless integration with these devices, allowing users to fully utilize its capabilities without compatibility issues.\u003c\/li\u003e\n\u003cli\u003eUser-Friendly Setup: Requires only straightforward driver installation, making the setup process hassle-free and convenient for both beginners and experienced users alike.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable class=\"tg\"\u003e\n\u003ccolgroup\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003c\/colgroup\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-maf8\" colspan=\"2\"\u003eImage Sensor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eSensor\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eIMX519\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eStill Resolution\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e16 Megapixels\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eColor Filter Type\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eColor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eShutter Type\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eRolling Shutter\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eOptical Size\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e1\/2.53\"\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eSensor Output Format\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eRAW\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003ePlatform Output Format\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eJPEG\/YUV\/RGB\/RAW10\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003ePixel Size\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e1.12 µm x 1.12 µm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eSensor Active Area\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e4656 × 3496 pixels\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eFrame Rate\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e4656x3496@9fps, 3840x2160@20fps, 1920x1080@60fps, 1280x720@80fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-maf8\" colspan=\"2\"\u003eLens Specs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eFocus Type\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eAuto Focus\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eFOV\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e80°(D)×67°(H)×53°(V)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eLens Mount\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eStock Lens Mount\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eF.NO\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eF1.75\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eE.F.L\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e4.28\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eDefault Focus Range\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e10cm to infinity\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eIR Sensitivity\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eIntegrated 650nm IR filter\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-maf8\" colspan=\"2\"\u003eElectrical and Mechanical\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eOperating Voltage\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e3.3V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eTemperature Range(Operating)\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e-4°F-167°F (-20°C to +75°C)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eTemperature Range(Stable Image)\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e32°F-122°F (0°C to +50°C)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003ePower Requirements(Kit)\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003e1W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eOverall Size\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003e25x24 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-maf8\" colspan=\"2\"\u003eFunctionality and Compatibility\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eInterface\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eMIPI CSI-2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-uhrw\"\u003eSupported OS\u003c\/td\u003e\n\u003ctd class=\"tg-uhrw\"\u003eLinux OS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-75ta\"\u003eSupported Platform\u003c\/td\u003e\n\u003ctd class=\"tg-75ta\"\u003eRaspberry Pi, NVIDIA Jetson\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003ePackage Including\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e1 x Arducam 16MP-AF Camera Module\u003c\/li\u003e\n\u003cli\u003e1 x 22pin to 22pin FFC Cable (15cm)\u003c\/li\u003e\n\u003cli\u003e1 x 15pin to 22pin FFC Cable (15cm)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eNotes\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eRaspberry Pi board is not included in the package.\u003c\/li\u003e\n\u003cli\u003eThis camera is released for the official NVIDIA® Jetson™ Developer Kit, and it does not guarantee to support other third-party boards.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv class=\"widget block block-static-block\"\u003e\n\u003cdiv data-content-type=\"html\" data-appearance=\"default\" data-element=\"main\" data-decoded=\"true\"\u003e\n\u003ctable class=\"tg\"\u003e\n\u003ccolgroup\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003c\/colgroup\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth class=\"tg-kpnx\" colspan=\"5\"\u003eNote on Supported Raspberry Pi Boards and OS\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-qbk9\"\u003ePlatform\u003c\/td\u003e\n\u003ctd class=\"tg-qbk9\"\u003eTrixie(rpicam)\u003c\/td\u003e\n\u003ctd class=\"tg-qbk9\"\u003eBookworm(rpicam)\u003c\/td\u003e\n\u003ctd class=\"tg-qbk9\"\u003eBullseye(libcamera)\u003c\/td\u003e\n\u003ctd class=\"tg-qbk9\"\u003eBuster(raspistill)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-fsme\"\u003eRaspberry Pi 5\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e√\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e√\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-fsme\"\u003eRaspberry Pi 4B \/ 3B+ \/ 3A+ \/ Zero \/ Zero 2 W\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e√\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e√\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e√\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-fsme\"\u003eRaspberry Pi CM3 \/ CM3+ \/ CM4 \/ CM5\u003cbr\u003e(extra adapter board required)\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e√\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e√\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e√\u003c\/td\u003e\n\u003ctd class=\"tg-fsme\"\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2\u003eDocumentation\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/docs.arducam.com\/Raspberry-Pi-Camera\/Native-camera\/16MP-IMX519\/\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eArducam IMX519 Camera for Raspberry Pi\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/docs.arducam.com\/Nvidia-Jetson-Camera\/Native-Camera\/imx519\/\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eArducam IMX519 Camera for NVIDIA Jetson\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/download.arducam.com\/3D-Drawing\/B0500.STEP\" rel=\"noopener noreferrer\" target=\"_blank\"\u003e3D Drawing\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Arducam","offers":[{"title":"Default Title","offer_id":41766656311429,"sku":"RP-000140-ADC","price":0.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/B0500_1.png?v=1784105710"}],"url":"https:\/\/robotpishop.com\/collections\/camera-vision.oembed?page=2","provider":"Robot Pi Shop","version":"1.0","type":"link"}