{"title":"Development \u0026 AI Boards","description":"","products":[{"product_id":"arduino-tiny-machine-learning-kit","title":"Arduino® Tiny Machine Learning Kit","description":"\u003cdiv class=\"ino-product-section product-description rte\" data-product-description=\"\"\u003e\n\u003cp class=\"ino-product-section-subtitle\"\u003e\u003cstrong\u003eOverview:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cdiv id=\"product-desc\" class=\"ino-product-section-content\"\u003e\n\u003cp\u003eThe Tiny Machine Learning Kit, combined with the exciting TinyML Applications and Deploying TinyML on Microcontrollers courses that are part of the Tiny Machine Learning (TinyML) specialization from EdX will equip you with all the tools you need to bring your ML visions to life!\u003c\/p\u003e\n\u003cp\u003eThe kit consists of a powerful board equipped with a microcontroller and a wide variety of sensors (Arduino Nano 33 BLE Sense*). The board can sense movement, acceleration, rotation, barometric pressure, sounds, gestures, proximity, color, and light intensity. The kit also includes a camera module (OV7675) and custom Arduino shield to make it easy to attach your components and create your very own unique TinyML project. You will be able to explore practical ML use cases using classical algorithms as well as deep neural networks powered by TensorFlow Lite Micro. The possibilities are limited only by your imagination!\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003e“The Future of Machine Learning is Tiny and Bright. We’re excited to see what you’ll do!”\u003c\/em\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eFor us to be able to have this kit back in stock we produced a Nano 33 BLE Sense without the HTS221 sensor (temperature and humidity), this change does not affect this kit’s usage and\/or content experience. This board is fully compatible with the kit’s documentation.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cstrong\u003eTech specs:\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"product-tech\" class=\"ino-product-section\"\u003e\n\u003cdiv class=\"ino-product-section-content\"\u003e\n\u003cp\u003eThe Tiny Machine Learning Kit includes:\u003cbr\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e1 Arduino Nano 33 BLE Sense board\u003c\/li\u003e\n\u003cli\u003e1 OV7675 Camera\u003c\/li\u003e\n\u003cli\u003e1 Arduino Tiny Machine Learning Shield\u003c\/li\u003e\n\u003cli\u003e1 USB A to Micro USB Cable\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"product-cert\" class=\"ino-product-section\"\u003e\u003c\/div\u003e","brand":"Arduino® Official","offers":[{"title":"Default Title","offer_id":41131813240965,"sku":"AO-000007-ARD","price":79.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/AKX00028_02_unbox_d5387fcf-26c7-4981-b1fd-6d3abb552d50_1000x750_jpg.webp?v=1767558683"},{"product_id":"lattepanda-mu-micro-x86-compute-module-evaluation-kit-n100-8gb-ram-64gb-emmc","title":"LattePanda Mu Micro x86 Compute Module Evaluation Kit (N100, 8GB RAM, 64GB eMMC)","description":"\u003cdiv id=\"Introduction\" class=\"content Introduction\"\u003e\n\u003cdiv\u003e\n\u003cp\u003eThe LattePanda Mu x86 Compute Module Evaluation Kit is a comprehensive development kit designed for hardware developers. It includes the\u003cspan\u003e \u003c\/span\u003eLattePanda Mu - A Micro x86 Compute Module (N100 CPU,8GB RAM,64GB eMMC),\u003cspan\u003e \u003c\/span\u003eLite Carrier Board, and\u003cspan\u003e \u003c\/span\u003eActive Cooler. This kit is suitable for evaluating common interfaces such as USB, HDMI, PCIe, UART, and can be used for solution evaluation, prototype design, and more. It provides abundant open-source design materials to accelerate development progress and make hardware development more efficient and convenient.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eProduct 1 in this Kit - A Micro x86 Compute Module (N100 CPU,8GB RAM,64GB eMMC)\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eSmall but Powerful\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eLattePanda Mu x86 compute module features Intel N100 quad-core processor with 3.4GHz turbo frequency, offering ample performance and multitasking capabilities for the majority of applications.\u003c\/p\u003e\n\u003cp\u003eEquipped with an Intel Processor N100, LattePanda Mu compute module offers a multi-core score of 3115 and a single-core score of 1217 on Geekbench 6, outperforming the Raspberry Pi 5, Intel Celeron N5105, and Atom x5-Z8350. Its CPU performance doubles the Raspberry Pi 5.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR1146\/CPU-1146.jpg\" alt=\"Overview of LattePanda Mu (N100,8GB RAM,64GB eMMC) Kit\" title=\"Overview of LattePanda Mu (N100,8GB RAM,64GB eMMC) Kit\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR1147\/Benchmark.jpg\" alt=\"Overview of LattePanda Mu (N100,8GB RAM,64GB eMMC) Kit\" title=\"Overview of LattePanda Mu (N100,8GB RAM,64GB eMMC) Kit\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eCard-Sized\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eDespite its small size of 69.6mm x 60mm, the pocket size of the LattePanda Mu computer-on-module allows for integration into space-constrained devices, delivering powerful computation without occupying much space.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR1147\/size.jpg\" alt=\"Card Size of LattePanda Mu Micro x86 Compute Module\" title=\"Card Size of LattePanda Mu Micro x86 Compute Module\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eFlexibility in Performance and Energy\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThe processor's TDP can be adjusted from 6W to 35W, providing flexibility in power usage and heat output. The 6W setting enables efficient operation with minimal heat and silent passive cooling, while the 35W setting offers robust performance but requires active cooling.\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.dfrobot.com\/product-2823.html\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR1147\/cooling.jpg\" alt=\"Flexibility in Performance and Energy of LattePanda Mu Micro x86 Compute Module\" title=\"Flexibility in Performance and Energy of LattePanda Mu Micro x86 Compute Module\"\u003e\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eFlexible Expansion Pins\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eLattePanda Mu compute module exposes extensive pins, such as 3 HDMI\/DisplayPort, 8 USB 2.0, up to 4 USB 3.2, 9 PCIe 3.0 lanes, 2 SATA 3.0 and 64 expandable GPIOs. This offers unparalleled flexibility and expandability, allowing you to create the specific solution.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR1147\/interfaces.jpg\" alt=\"Flexible Expansion Pins of LattePanda Mu Micro x86 Compute Module\" title=\"Flexible Expansion Pins of LattePanda Mu Micro x86 Compute Module\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eMulti-System Support\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eLattePanda Mu x86 computer-on-module supports multiple operating systems, including Windows 10, Windows 11, Ubuntu, ensuring that there is always one that suits your needs.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/cache3\/data\/DFR1146\/LP%20Mu\/LP%20Mu(8).jpg\" alt=\"LattePanda Mu Micro x86 Compute Module support Windows 10, Windows 11, Ubuntu\" title=\"LattePanda Mu Micro x86 Compute Module support Windows 10, Windows 11, Ubuntu\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eMaking Carrier Simpler and Easier\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eLattePanda Mu x86 compute module offers open-source carrier board files and libraries as reference materials, enabling you to fine-tune the carrier board design to meet your specific needs, significantly reducing development time.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/cache3\/data\/DFR1146\/LP%20Mu\/LP%20Mu(7).jpg\" alt=\"LattePanda Mu Micro x86 Compute Module Making Carrier Simpler and Easier\" title=\"LattePanda Mu Micro x86 Compute Module Making Carrier Simpler and Easier\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eCustomized Solutions\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eLattePanda Team offers customized services, including customized carrier boards, boot screens, BIOS functionality, operating systems, etc. If you have any specific requirements, please feel free to contact us at\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/solution@lattepanda.com\/\" target=\"_blank\"\u003esolution@lattepanda.com.\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003eThe LattePanda Team is dedicated to providing timely and professional support to meet your customization needs.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/cache3\/data\/DFR1146\/LP%20Mu%20Customized%20Solutions.jpg\" alt=\"Customized Solutions of LattePanda Mu Micro x86 Compute Module\" title=\"Customized Solutions of LattePanda Mu Micro x86 Compute Module\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eProduct 2 in this Kit -\u003cspan\u003e \u003c\/span\u003eLite Carrier Board for LattePanda Mu\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eInterfaces Integrated Common Interfaces\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThis lite carrier board includes USB 3.0, Ethernet, PCIe 3.0, M.2 M key, M.2 E key, HDMI, etc. Its comprehensive integration design and compact size make it more convenient to use and cost-effective.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eWide Voltage Input\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThis lite carrier board supports a wide voltage input of 12~20V, allowing direct connection to a 4S lithium battery without the need for an additional voltage regulator module. This wide voltage input design greatly enhances the product's adaptability and portability.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003ePCIe 3.0 x4 Expansion Slot\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThis lite carrier board is equipped with a standard PCIe 3.0 x4 slot, allowing you to easily expand various peripherals, such as graphics cards, sound cards, network cards, etc., providing more powerful performance for your project (this interface is only available when paired with a 12V power supply).\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eM.2 Expansion Slot\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eIn addition to the PCIe slot, this carrier board also comes with M.2 M key 2230 and M.2 E key 2230 slots, which can easily expand SSD hard drives and WLAN wireless network cards, bringing more possibilities to your project.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e3.5-inch Standard Size\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThis lite carrier board uses the standard size of 3.5-inch embedded motherboards, which is extremely convenient for installation and pairing with other devices. This standardized design allows it to seamlessly integrate into your various projects and systems.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eProduct 3 in this Kit -\u003cspan\u003e \u003c\/span\u003eLattePanda Mu Active Cooler\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThe LattePanda Mu Active Cooler is a high-quality cooler designed specifically for the LattePanda Mu compute module. It allows for perfect integration between LattePanda Mu and the carrier board, enabling you to freely build various DIY projects. This low-noise fan ensures stable temperature for your LattePanda Mu, and the heat dissipation fins quickly absorb the heat generated by the CPU. This simple yet effective method keeps your LattePanda Mu in its best condition at all times! The aluminum alloy housing has excellent thermal conductivity and comes with high-quality phase change materials for even better heat dissipation performance.\u003c\/p\u003e\nActive cooling aluminum alloy heatsinkAluminum alloy material, corrosion-resistant and durable\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\u003cb\u003eLattePanda Mu Compute Module\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eProcessor: Intel Processor N100 4 Cores up to 3.4GHz\u003c\/li\u003e\n\u003cli\u003eMemory: LPDDR5 4800MT\/s 8GB with IBECC supported\u003c\/li\u003e\n\u003cli\u003eStorage: eMMC 5.1 64GB\u003c\/li\u003e\n\u003cli\u003eDisplay: 3 Ouputs; Max Resolution 4096 x 2160@60Hz\u003c\/li\u003e\n\u003cli\u003eI\/O\u003cbr\u003e             PCIe 3.0: up to 9 lanes\u003cbr\u003e             SATA 3.0: up to 2 ports\u003cbr\u003e             USB 3.2 (10Gbps): up to 4 ports\u003cbr\u003e             USB 2.0 (480Mbps): 8 ports\u003cbr\u003e             I2C, UART and GPIOs\u003c\/li\u003e\n\u003cli\u003ePower: 9~20V\u003c\/li\u003e\n\u003cli\u003eOperating System: Windows, Ubuntu\u003c\/li\u003e\n\u003cli\u003eEnvironment: 0~60°C; 0~80% relative humidity\u003c\/li\u003e\n\u003cli\u003eSize: 69.6 x 60mm\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eLite Carrier Board for LattePanda Mu\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003ePower Input\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUSB Type-C: 15V (Max 3A)\u003c\/li\u003e\n\u003cli\u003eDC 5.5x2.5mm: 12~20V (Max 10A)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eInternal Interfaces\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003ePCIe 3.0 x4 slot (only available when using 12V power supply)\u003c\/li\u003e\n\u003cli\u003eM.2 M Key 2230 (PCIe 3.0 x1)\u003c\/li\u003e\n\u003cli\u003eM.2 E Key 2230 (PCIe 3.0 x1, USB2.0)\u003c\/li\u003e\n\u003cli\u003eRTC battery socket (CR1220 3V)\u003c\/li\u003e\n\u003cli\u003eCPU fan socket\u003c\/li\u003e\n\u003cli\u003eGravity-4P UART\u003c\/li\u003e\n\u003cli\u003eGravity-4P I2C\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eExternal Interfaces\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUSB 3.2 10Gbps x2\u003c\/li\u003e\n\u003cli\u003eGigabit Ethernet\u003c\/li\u003e\n\u003cli\u003eUSB 2.0 x2\u003c\/li\u003e\n\u003cli\u003eHDMI 2.0\u003c\/li\u003e\n\u003cli\u003eUSB Type-C (for power supply only)\u003c\/li\u003e\n\u003cli\u003eDC 5.5x2.5mm\u003c\/li\u003e\n\u003cli\u003eSize: 3.5 inches, 146mm×102mm\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eLattePanda Mu Active Cooler\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eCompatible: LattePanda Mu\u003c\/li\u003e\n\u003cli\u003eOperating voltage: 5V\u003c\/li\u003e\n\u003cli\u003eOperating current: 0.35A\u003c\/li\u003e\n\u003cli\u003eMaximum rotational speed: 4000 RPM\u003c\/li\u003e\n\u003cli\u003eWire length: 105mm\u003c\/li\u003e\n\u003cli\u003eInterface type: PH2.0-4P\u003c\/li\u003e\n\u003cli\u003eDimensions: 69.6 * 50.4 * 19mm\u003c\/li\u003e\n\u003cli\u003eMaterial: Aluminum alloy\u003c\/li\u003e\n\u003cli\u003eWeight: 69g\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003eShipping List\u003c\/h4\u003e\n\u003cdiv\u003e\n\u003cul\u003e\n\u003cli\u003eLattePanda Mu Compute Module (N100 CPU,8GB RAM,64GB eMMC) x1\u003c\/li\u003e\n\u003cli\u003eProduct Manual x1\u003c\/li\u003e\n\u003cli\u003eLite Carrier board x1\u003c\/li\u003e\n\u003cli\u003eAcrylic Base Plate x1\u003c\/li\u003e\n\u003cli\u003eScrew Pack for Lite Carrier board x1\u003c\/li\u003e\n\u003cli\u003eCR1220 Button Battery x1\u003c\/li\u003e\n\u003cli\u003eLattePanda Mu Active Cooler x1\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"LattePanda, DFRobot","offers":[{"title":"Default Title","offer_id":41280983433349,"sku":"DB-000090-DFR","price":217.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/1_a463b95c-abca-4a28-8c9b-0c97559a7ef7.png?v=1767559462"},{"product_id":"lattepanda-2-delta-432-a-pocket-sized-powerful-windows-linux-single-board-computer-4gb-ram-32gb-emmc","title":"LattePanda 2 Delta 432","description":"\u003cp\u003eA Pocket-sized Powerful Windows\/Linux Single Board Computer (4GB RAM\/32GB eMMC)\u003c\/p\u003e\n\u003cp\u003eLattePanda 2 Delta is a high performance, pocket-sized SBC (single board computer) with low power consumption that runs full Windows 10 or Linux operation system. It is widely used in edge computing, vending, advertising machine, industrial automation, etc. Whether you're a DIY maker, IoT (Internet of Things) developer, system integrator, or solution provider, LattePanda is your powerful development board that can empower creation and accelerate your productivity.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR0543\/20201123%20Update\/LP%20delta%201.jpg\" alt=\"LattePanda Delta\" title=\"LattePanda Delta\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eKey Feature:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eIntel® Celeron® N4100\u003c\/b\u003e, Quad-Core 1.1-2.4GHz\u003c\/li\u003e\n\u003cli\u003eIntel® UHD Graphics 600\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eDual-Band 2.5GHz\/5GHz Wi-Fi\u003c\/b\u003e\u003cspan\u003e \u003c\/span\u003e\u0026amp; Bluetooth 5.0\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eUSB3.0 x3，USB Type-C x1\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003eGigabit Ethernet\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003e2 x M.2 PCIe\u003c\/b\u003e\u003cspan\u003e \u003c\/span\u003e(Support B\u0026amp;M Key and A\u0026amp;E Key)\u003c\/li\u003e\n\u003cli\u003eSupport Windows 10 \u0026amp; Linux OS\u003c\/li\u003e\n\u003cli\u003eIntegrated Arduino Coprocessor ATMEL 32U4\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv class=\"content Introduction\" id=\"Introduction\"\u003e\n\u003cdiv\u003e\n\u003cp\u003eThe\u003cspan\u003e \u003c\/span\u003e\u003cb\u003eLattePanda 2 Delta\u003c\/b\u003e, based on Intel Celeron N4100, is a Quad-Core 1.1GHz CPU that bursts up to 2.4GHz, Intel® UHD Graphics 600 integrated into the processor deliver enhanced media conversion, fast frame rates, and 4K Ultra HD (UHD) video. All of this computing power dissipates only 6W power, which is the perfect choice in terms of features and price as the main robotics controller, interactive project core, IoT edge device or AI brain.\u003c\/p\u003e\n\u003cp\u003eThe LattePanda is perfect for makers alike who need a small, portable, and light SBC for their ultimate project! DIY project running the Windows or Linux, LattePanda SBC has been a popular hit and choice for many people who wish to enjoy playing all of their old and new favorites from one small, powerful system. Given its incredibly small size, it can be easily hidden, functioning as the secretly powerful brains behind your coolest project ever.\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cimg title=\"LattePanda Delta Size\" alt=\"LattePanda Delta Size\" src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR0543\/20201123%20Update\/LP%20Alpha%20Dimensions-01.png\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg title=\"LattePanda Delta Design\" alt=\"LattePanda Delta Design\" src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR0543\/20201123%20Update\/LP%20delta%208.jpg\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003eLattePanda pre-installed\u003cspan\u003e \u003c\/span\u003e\u003cb\u003eWin10 pro\u003c\/b\u003e\u003cspan\u003e \u003c\/span\u003eoperating system but also supports Linux. We have the complete\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"http:\/\/docs.lattepanda.com\/\" target=\"_blank\"\u003e\u003cb\u003einstallation tutorial in our Docs\u003c\/b\u003e\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003eand provide the latest version support in time.\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cimg title=\"LattePanda Delta Win10 Pro\" alt=\"LattePanda Delta Win10 Pro\" src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR0543\/20201123%20Update\/LattePanda02-win10-pro.jpg\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/docs.lattepanda.com\/content\/alpha_edition\/os\/\" target=\"_blank\"\u003e\u003cimg title=\"LattePanda Delta LINUX OS\" alt=\"LattePanda Delta LINUX OS\" src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR0543\/20201123%20Update\/LattePanda03-linux.jpg\"\u003e\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg title=\"LattePanda Delta 42 Ports\" alt=\"LattePanda Delta 42 Ports\" src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR0543\/20201123%20Update\/42%20Ports.png\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg title=\"LP Alpha and Delta\" alt=\"LP Alpha and Delta, LattePanda\" src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR0543\/20201123%20Update\/LattePanda%20Alpha%20and%20Delta%20(1).gif\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e\u003cbr\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eEmbedded DisplayPort\u003cspan\u003e \u003c\/span\u003e\u003c\/b\u003e(commonly referred to as eDP) is a full-digital interface based on the VESA DisplayPort architecture and protocol, which can use simpler connectors and fewer pins to transmit high-resolution signals as well as allow higher transmission speeds as opposed to LVDS cables.\u003c\/p\u003e\n\u003cp\u003eAnother benefit of the eDP interface is that they allow you to easily connect your LattePanda directly to an LCD.\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cimg title=\"LattePanda Delta For Embedded Solutions\" alt=\"LattePanda Delta For Embedded Solutions\" src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR0543\/20201123%20Update\/LP%20delta%202.jpg\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e\u003cbr\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eType-C\u003cspan\u003e \u003c\/span\u003e\u003c\/b\u003einterface allows the seamless connectivity of data, PD power supply, and 4K video output, which not only solves the problem of messy desktop wires but also makes it more convenient to transfer equipment. With more efficient transmission capacity, richer expandability, simple and convenient connection, it has become one of the world’s consumer electronics standards.\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cimg title=\"LattePanda Connector\" alt=\"LattePanda Connector\" src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR0543\/20201123%20Update\/LP%20delta%204.jpg\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003eThere are two \u003cb\u003eM.2 PCIe\u003c\/b\u003e\u003cspan\u003e \u003c\/span\u003e\u003cb\u003econnectors\u003c\/b\u003e\u003cspan\u003e \u003c\/span\u003e(B\u0026amp;M Key and A\u0026amp;E Key), which enable various expandable capabilities including SSD, GPU, Wired, and Wireless Network.\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cimg title=\"LattePanda Delta Interfaces\" alt=\"LattePanda Delta interfaces\" src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR0543\/20201123%20Update\/LP%20delta%203.jpg\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003eIn addition, LattePanda has more types of interfaces, which can be directly connected with, for example, HDMI and Internet cable. Independent USB 3.0 interfaces can be connected to USB2.0 \u0026amp; 3.0 devices. No need for additional docking stations to connect to peripherals, LattePanda can be embedded in your project like a plug-in device. Say goodbye to your bulky laptop!\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cimg title=\"LattePanda Delta interfaces\" alt=\"LattePanda Delta interfaces\" src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR0543\/20201123%20Update\/LP%20delta%205.jpg\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003eThe teams here at LattePanda have worked hard to provide careful and thorough guides and documentation for our products, and their effectiveness has become amplified by\u003cspan\u003e \u003c\/span\u003e\u003cb\u003eour strong community\u003c\/b\u003e\u003cspan\u003e \u003c\/span\u003eof LattePanda users who have made posts, threads, and contributions to others in the community. With our combined strength, no project is out of reach for any user!\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.lattepanda.com\/\" target=\"_blank\"\u003e\u003cimg title=\"LattePanda Community\" alt=\"LattePanda Community\" src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR0543\/20201123%20Update\/LP%20delta%206.jpg\"\u003e\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"http:\/\/docs.lattepanda.com\/\" target=\"_blank\"\u003e\u003cimg title=\"LattePanda Documents\" alt=\"LattePanda Documents\" src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR0543\/20201123%20Update\/LP%20Alpha%20Docs-01.png\"\u003e\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"content Specification\" id=\"Specification\"\u003e\n\u003ch4\u003eSpecification\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eCPU: Intel Celeron N4100\u003c\/li\u003e\n\u003cli\u003eCore: 1.1-2.4GHz Quad-Core, Four-Thread\u003c\/li\u003e\n\u003cli\u003eGraphics: Intel HD Graphics 600, 200-700MHz\u003c\/li\u003e\n\u003cli\u003eRAM: 4G LPDDR4 2400MHz\u003c\/li\u003e\n\u003cli\u003eExternal Memory:\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e            1x M.2 M Key, PCIe 2x, Supports NVMe and PCIe SSD\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003e            1x M.2 E Key, PCIe 2x，Supports USB2.0, UART\u003c\/span\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eConnectivity:\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e            WIFI 802.11 AC, 2.4G \u0026amp; 5G\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003e            Dual-Band Bluetooth 5.0\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003e            Gigabit Ethernet\u003c\/span\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUSB Ports:\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e            3x USB 3.0 Type A\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003e            1x USB Type C, supports PD, DP, USB 3.0\u003c\/span\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDisplay:\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e            HDMI Output\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003e            Type-C DP Support\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003e            Extendable eDP touch displays\u003c\/span\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eCo-processor: Arduino Leonardo\u003c\/li\u003e\n\u003cli\u003eGPIO \u0026amp; Other Features: 2x 50p GPIOs including I2C, I2S, USB, TTL, UART, RTC, Power Management, Extendable power button, everything you need\u003c\/li\u003e\n\u003cli\u003eOS Support:\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e            \u003c\/span\u003eWindows 10 Pro\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e            \u003c\/span\u003e\u003cspan\u003eLinux Ubuntu\u003c\/span\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDimension: 115*78*14 mm\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eShipping List :\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eLattePanda Delta 432  x1\u003c\/li\u003e\n\u003cli\u003eActive Cooling Fan (Assembled) x1\u003c\/li\u003e\n\u003cli\u003e45w PD Power Adapter (with EU \u0026amp; US Standard Power Cord)  x1\u003c\/li\u003e\n\u003cli\u003eDual-band Antenna x2\u003c\/li\u003e\n\u003cli\u003eRTC Battery (Assembled）x 1\u003c\/li\u003e\n\u003cli\u003eUser Manual x 1\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"LattePanda, DFRobot","offers":[{"title":"Default Title","offer_id":41280988938373,"sku":"DB-000089-DFR","price":239.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/1_f24135c7-e5c3-4414-9edf-96884c2192f0.png?v=1767559476"},{"product_id":"nvidia®-jetson-orin™-nano-super-developer-kit","title":"NVIDIA® Jetson Orin™ Nano Super Developer Kit","description":"\u003cdiv class=\"relative\" id=\"product_info_7c5358b5c9cba\"\u003e\n\u003cdiv class=\"relative\" id=\"product_info_f892cab2d8293\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"html_content_2981\"\u003e\n\u003cdiv\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan data-font-family='\"Open Sans\",\"Helvetica Neue\",Helvetica,\"PingFang SC\",\"Microsoft YaHei\",\"Source Han Sans SC\",\"Noto Sans CJK SC\",\"WenQuanYi Micro Hei\",sans-serif'\u003eExcellent AI Performance for production\u003c\/span\u003e\u003c\/strong\u003e\u003cstrong\u003e\u003cspan data-font-family='\"Open Sans\"'\u003e: \u003c\/span\u003e\u003c\/strong\u003e\u003cspan data-font-family='\"Open Sans\"'\u003elow power and low latency with up to \u003c\/span\u003e\u003cspan data-font-family='\"Open Sans\"'\u003e67 TOPS\u003c\/span\u003e\u003cspan data-font-family='\"Open Sans\"'\u003e AI performance\u003c\/span\u003e\u003cspan data-font-family='\"Open Sans\"'\u003e, featuring an Ampere architecture GPU and a 6-core ARM CPU, which enables multiple concurrent AI application pipelines and high-performance inference.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan data-font-family='\"Open Sans\"'\u003eHand-size edge AI device\u003c\/span\u003e\u003c\/strong\u003e\u003cspan data-font-family='\"Open Sans\"'\u003e: compact size at 100mm x79mm x 21mm, includes Jetson Orin™ Nano 8GB module, a heatsink with a fan and a power adapter.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan data-font-family='\"Open Sans\"'\u003eExpandable with rich I\/Os: \u003c\/span\u003e\u003c\/strong\u003e\u003cspan data-font-family='\"Open Sans\"'\u003e4x\u003c\/span\u003e\u003cstrong\u003e \u003c\/strong\u003e\u003cspan data-font-family='\"Open Sans\"'\u003eUSB 3.2 Gen 2 ports, DP 1.2, M.2 key E with pre-installed Wi-Fi module, 2x M.2 Key M for SSD, microSD slot, 2x MIPI CSI-2 connectors, Gigabit Ethernet, 40-pin GPIO.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv class=\"p_2981_table_wrapper\"\u003e\n\u003ctable class=\"p_2981_table\" cellpadding=\"0\" cellspacing=\"0\" width=\"935\" border=\"0\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd height=\"123\" width=\"262\" class=\"et5\"\u003e \u003c\/td\u003e\n\u003ctd width=\"351\" class=\"et6\"\u003eNVIDIA Jetson Orin Nano Developer Kit \u003c\/td\u003e\n\u003ctd width=\"320\" class=\"et6\"\u003eNVIDIA Jetson Orin NanoSuper Developer Kit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd height=\"274\" width=\"262\" class=\"et6\"\u003e\n\u003cbr\u003eGPU\u003c\/td\u003e\n\u003ctd width=\"351\" class=\"et5\"\u003e\n\u003cbr\u003eNVIDIA Ampere architecture\u003cbr\u003e1,024 CUDA Cores\u003cbr\u003e32 Tensor Cores\u003cbr\u003e635 MHz\u003c\/td\u003e\n\u003ctd width=\"320\" class=\"et5\"\u003e\n\u003cbr\u003eNVIDIA Ampere\u003cbr\u003earchitecture\u003cbr\u003e1,024 CUDA Cores\u003cbr\u003e32 Tensor Cores\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"font1\"\u003e1,020MHz\u003c\/span\u003e\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd height=\"180\" width=\"262\" class=\"et6\"\u003e\n\u003cbr\u003eAI PERF\u003c\/td\u003e\n\u003ctd width=\"351\" class=\"et5\"\u003e\n\u003cbr\u003e40 INT8 TOPS (Sparse)\u003cbr\u003e20 INT8 TOPS (Dense)\u003cbr\u003e10 FP16 TFLOPs\u003c\/td\u003e\n\u003ctd width=\"320\" class=\"et5\"\u003e\n\u003cbr\u003e\u003cspan class=\"font1\"\u003e\u003cstrong\u003e67 TOPS (Sparse)\u003c\/strong\u003e\u003cbr\u003e33 TOPS (Dense)\u003cbr\u003e17 FP16 TFLOPs\u003c\/span\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd height=\"151\" width=\"262\" class=\"et6\"\u003e\n\u003cbr\u003eCPU\u003c\/td\u003e\n\u003ctd width=\"351\" class=\"et5\"\u003e6-core Arm Cortex-\u003cbr\u003eA78AE v8.264-bit CPU\u003cbr\u003e1.5 GHz\u003c\/td\u003e\n\u003ctd width=\"320\" class=\"et5\"\u003e6-core Arm Cortex-\u003cbr\u003eA78AE v8.264-bit CPU\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"font1\"\u003e1.7 GHz\u003c\/span\u003e\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd height=\"125\" width=\"262\" class=\"et6\"\u003e\n\u003cbr\u003eMemory\u003c\/td\u003e\n\u003ctd width=\"351\" class=\"et5\"\u003e8GB 128-bit LPDDR5\u003cbr\u003e68GB\/s\u003c\/td\u003e\n\u003ctd width=\"320\" class=\"et5\"\u003e8GB 128-bit LPDDR5\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"font1\"\u003e102GB\/s\u003c\/span\u003e\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd height=\"48\" width=\"262\" class=\"et6\"\u003eMODULE POWER\u003c\/td\u003e\n\u003ctd width=\"351\" class=\"et5\"\u003e7W|15W\u003c\/td\u003e\n\u003ctd width=\"320\" class=\"et5\"\u003e7W|15W|\u003cstrong\u003e\u003cspan class=\"font1\"\u003e25W\u003c\/span\u003e\u003c\/strong\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 class=\"relative\" id=\"product_info_5d661d33483518\"\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 width=\"730\" colspan=\"3\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eJetson Orin Nano System on Module\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"193\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eAI Performance\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"537\" colspan=\"2\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eJetson Orin Nano 8GB with SD card slot on module - \u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003e67 TOPS\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"193\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eGPU\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"537\" colspan=\"2\"\u003e\n\u003cp\u003e\u003cspan data-font-family='\"Open Sans\"'\u003eNVIDIA Ampere architecture with 1024 NVIDIA® CUDA® cores and \u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan data-font-family='\"Open Sans\"'\u003e32 Tensor cores\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"193\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eCPU\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"537\" colspan=\"2\"\u003e\n\u003cp\u003e\u003cspan data-font-family='\"Open Sans\"'\u003e6-core Arm® Cortex®-A78AE v8.2 64-bit CPU\u003c\/span\u003e \u003cspan data-font-family='\"Open Sans\"'\u003e1.5MB L2 + 4MB L3\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"193\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eMemory\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"537\" colspan=\"2\"\u003e\n\u003cp\u003e\u003cspan data-font-family='\"Open Sans\"'\u003e8GB 128-bit LPDDR5\u003c\/span\u003e \u003cspan data-font-family='\"Open Sans\"'\u003e102\u003c\/span\u003e\u003cspan data-font-family='\"Open Sans\"'\u003e GB\/s\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"193\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"Helvetica Neue,Helvetica,PingFang SC,Microsoft YaHei,Source Han Sans SC,Noto Sans CJK SC,WenQuanYi Micro Hei,sans-serif\"\u003eVideo Encoder\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"537\" colspan=\"2\"\u003e\n\u003cp\u003e\u003cspan data-font-family='\"Helvetica Neue\",\"Helvetica\",\"PingFang SC\",\"Microsoft YaHei\",\"Source Han Sans SC\",\"Noto Sans CJK SC\",\"WenQuanYi Micro Hei\",PingFang,\"PingFang SC\",\"苹方\",\"苹方-简\",\"Microsoft YaHei\",\"微软雅黑\",\"Microsoft YaHei\"'\u003e1080p30 supported by 1-2 CPU cores\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"193\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"Helvetica Neue,Helvetica,PingFang SC,Microsoft YaHei,Source Han Sans SC,Noto Sans CJK SC,WenQuanYi Micro Hei,sans-serif\"\u003eVideo Decoder\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"537\" colspan=\"2\"\u003e\n\u003cp\u003e\u003cspan data-font-family='\"Helvetica Neue\",\"Helvetica\",\"PingFang SC\",\"Microsoft YaHei\",\"Source Han Sans SC\",\"Noto Sans CJK SC\",\"WenQuanYi Micro Hei\",PingFang,\"PingFang SC\",\"苹方\",\"苹方-简\",\"Microsoft YaHei\",\"微软雅黑\",\"Microsoft YaHei\"'\u003e1x 4K60 (H.265) | 2x 4K30 (H.265)\u003c\/span\u003e\u003cspan data-font-family='\"Helvetica Neue\",\"Helvetica\",\"PingFang SC\",\"Microsoft YaHei\",\"Source Han Sans SC\",\"Noto Sans CJK SC\",\"WenQuanYi Micro Hei\",PingFang,\"PingFang SC\",\"苹方\",\"苹方-简\",\"Microsoft YaHei\",\"微软雅黑\",\"Microsoft YaHei\"'\u003e | \u003c\/span\u003e\u003cspan data-font-family='\"Helvetica Neue\",\"Helvetica\",\"PingFang SC\",\"Microsoft YaHei\",\"Source Han Sans SC\",\"Noto Sans CJK SC\",\"WenQuanYi Micro Hei\",PingFang,\"PingFang SC\",\"苹方\",\"苹方-简\",\"Microsoft YaHei\",\"微软雅黑\",\"Microsoft YaHei\"'\u003e5x 1080p60 (H.265)\u003c\/span\u003e\u003cspan data-font-family='\"Helvetica Neue\",\"Helvetica\",\"PingFang SC\",\"Microsoft YaHei\",\"Source Han Sans SC\",\"Noto Sans CJK SC\",\"WenQuanYi Micro Hei\",PingFang,\"PingFang SC\",\"苹方\",\"苹方-简\",\"Microsoft YaHei\",\"微软雅黑\",\"Microsoft YaHei\"'\u003e | \u003c\/span\u003e\u003cspan data-font-family='\"Helvetica Neue\",\"Helvetica\",\"PingFang SC\",\"Microsoft YaHei\",\"Source Han Sans SC\",\"Noto Sans CJK SC\",\"WenQuanYi Micro Hei\",PingFang,\"PingFang SC\",\"苹方\",\"苹方-简\",\"Microsoft YaHei\",\"微软雅黑\",\"Microsoft YaHei\"'\u003e11x 1080p30 (H.265)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003ePower\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e7W-25W\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"730\" colspan=\"3\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eCarrier Board\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"193\" colspan=\"2\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eStorage\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e1x microSD slot\u003c\/span\u003e \u003cspan data-font-family=\"default\"\u003e(\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eUHS-1 cards up to SDR104 mode)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"193\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eNetworking\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"213\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"Helvetica Neue,Helvetica,PingFang SC,Microsoft YaHei,Source Han Sans SC,Noto Sans CJK SC,WenQuanYi Micro Hei,sans-serif\"\u003eEthernet\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"324\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Helvetica Neue,Helvetica,PingFang SC,Microsoft YaHei,Source Han Sans SC,Noto Sans CJK SC,WenQuanYi Micro Hei,sans-serif\"\u003e1x Gigabit Ethernet (10\/100\/1000M)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"2\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003ePCIe\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eM.2 KEY M\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e4x PCIe GEN3\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e2x PCIe GEN3\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eM.2 KEY E\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e1x \u003c\/span\u003e\u003cspan data-font-family='\"Open Sans\"'\u003eM.2 Key E(pre-installed 1x Wi-Fi\/Bluetooth combo module)\u003c\/span\u003e\u003cspan data-font-family='\"Open Sans\"'\u003e;\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003ePCIe (x1), USB 2.0, UART, I2S, and I2C\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"193\" rowspan=\"7\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eI\/O\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"213\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"Helvetica Neue,Helvetica,PingFang SC,Microsoft YaHei,Source Han Sans SC,Noto Sans CJK SC,WenQuanYi Micro Hei,sans-serif\"\u003eUSB\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"324\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e4x Type A USB 3.2 Gen2\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e1x Type C for UFP\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"213\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eCSI Camera\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"324\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e2x MIPI \u003c\/span\u003e\u003cspan data-font-family='\"Open Sans\"'\u003eCSI-2 (22pin)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"213\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eDisplay\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"324\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e1x DP 1.2 (+MST) connector\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"213\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eFan\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"324\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e1x \u003c\/span\u003e\u003cspan data-font-family='\"Open Sans\"'\u003e4 pin Fan Connector (5V PWM)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"213\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eCAN\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"324\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e1x CAN\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"213\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family='\"Open Sans\"'\u003eMultifunctional Port\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"324\"\u003e\n\u003cp\u003e\u003cspan data-font-family='\"Open Sans\"'\u003e1x 40-Pin Expansion header\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan data-font-family='\"Open Sans\"'\u003e1x 12-Pin Control and UART header\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"213\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family='\"Open Sans\"'\u003eRTC\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"324\"\u003e\n\u003cp\u003e\u003cspan data-font-family='\"Open Sans\"'\u003eRTC 2-pin\u003c\/span\u003e\u003cspan data-font-family='\"Open Sans\"'\u003e, \u003c\/span\u003e\u003cspan data-font-family='\"Open Sans\"'\u003esupports CR1220 but not included\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"193\" colspan=\"2\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003ePower Supply\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e9V-19V DC\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"193\" colspan=\"2\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family='\"Open Sans\"'\u003eMechanical (W x D x H)\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cp\u003e\u003cspan data-font-family='\"Open Sans\"'\u003e100mm x 79mm x 21mm\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eProduct Weight\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e0.176 kg\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 class=\"relative\" id=\"product_info_8c944cf169bb2\"\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\u003ch3\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eApplication Fields:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan data-font-family=\"default\"\u003eAI Video Analytics\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan data-font-family=\"default\"\u003eMachine Vision\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan data-font-family=\"default\"\u003eAutonomous Mobile Robot (AMR)\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan data-font-family=\"default\"\u003eGenerative AI\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"relative\" id=\"product_info_b7c5763b175978\"\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\u003cdiv\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-NVIDIA_Jetson_Catalog_V1.4.pdf\" target=\"_blank\"\u003eSeeed NVIDIA Jetson Hardware Catalog\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"html_content_2981\"\u003e\n\u003cdiv class=\"documents_list\"\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 width=\"314\" rowspan=\"1\" colspan=\"1\"\u003e\n\u003cp\u003e\u003cspan data-font-family='\"Open Sans\"'\u003eNVIDIA Jetson Orin™ Nano \u003c\/span\u003e\u003cspan data-font-family='\"Open Sans\"'\u003eSuper\u003c\/span\u003e \u003cspan data-font-family='\"Open Sans\"'\u003eDeveloper Kit\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"65\" rowspan=\"1\" colspan=\"1\"\u003e\n\u003cp\u003e\u003cspan data-font-family='\"Open Sans\"'\u003ex1\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"314\" rowspan=\"1\" colspan=\"1\"\u003e\n\u003cp\u003e\u003cspan data-font-family='\"Open Sans\"'\u003e19V Power Adapter\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"65\" rowspan=\"1\" colspan=\"1\"\u003e\n\u003cp\u003e\u003cspan data-font-family='\"Open Sans\"'\u003ex1\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"314\" rowspan=\"1\" colspan=\"1\"\u003e\n\u003cp\u003e\u003cspan data-font-family='\"Open Sans\"'\u003eType B (US, JP, CA, PH) Power Cable\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"65\" rowspan=\"1\" colspan=\"1\"\u003e\n\u003cp\u003e\u003cspan data-font-family='\"Open 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data-font-family='\"Open Sans\"'\u003eQuick Start and Support Guide\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"65\" rowspan=\"1\" colspan=\"1\"\u003e\n\u003cp\u003e\u003cspan data-font-family='\"Open Sans\"'\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\u003cp\u003e \u003c\/p\u003e\n\u003cdiv class=\"tips\"\u003e\n\u003cdiv class=\"right-desc\"\u003e\n\u003cp\u003e\u003cstrong\u003eNote: \u003cspan data-font-family=\"default\"\u003eItems not included\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003col\u003e\n\u003cli\u003e\u003cspan data-font-family=\"default\"\u003emicroSD card (64GB UHS-1 or bigger recommended)\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan data-font-family=\"default\"\u003eUSB keyboard and mouse\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan data-font-family=\"default\"\u003eComputer display\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan data-font-family=\"default\"\u003eUSB cable\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan data-font-family=\"default\"\u003eNVMe SSD card\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"NVIDIA®","offers":[{"title":"Default Title","offer_id":41360114188421,"sku":"DB-000093-NVD","price":449.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/4_4ee5c9f4-dcb5-4675-86eb-283a0d089dd3.png?v=1767559687"},{"product_id":"arduino-uno-q","title":"Arduino® UNO™ Q 2GB","description":"\u003ch2 class=\"ino-product-section-subtitle\"\u003eOverview\u003c\/h2\u003e\n\u003cdiv id=\"product-desc\" class=\"ino-product-section-content\"\u003e\n\u003cp\u003eHybrid design makes Arduino UNO Q the perfect dual-brain platform for your next innovation. It combines a Linux® Debian-capable Qualcomm® Dragonwing™ QRB2210 microprocessor with a real-time STM32U585 microcontroller (MCU). It’s Arduino, it’s a computer, it’s anything you want to build.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv class=\"fluid-width-video-wrapper\"\u003e\u003ciframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/QxPBCBX8ac8?si=L9oN7MC_lCRPfReF?autoplay=1\u0026amp;mute=1\"\u003e\u003c\/iframe\u003e\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eThis variant of Arduino UNO Q features 2 GB of RAM and 16 GB of eMMC, making it the best choice if:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eYou intend to develop code for UNO Q in the familiar, PC-connected mode, and your project basically requires running the OS, Python scripts, and basic network services accessed remotely (SSH) – no demanding GUI.\u003c\/li\u003e\n\u003cli\u003eYou plan on the microprocessor running one primary application, without heavy multitasking.\u003c\/li\u003e\n\u003cli\u003eYour project leverages no AI or lightweight Edge AI, relying on memory-optimized TinyML applications.\u003c\/li\u003e\n\u003cli\u003eYou just need local storage for basic OS and core libraries.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eArduino UNO Q is the go-to tool to prototype your next robotics or IoT project, thanks to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAll-in-one toolbox: Arduino UNO Q combines the powerful Qualcomm® Dragonwing™ QRB2210 microprocessor (MPU) with a real-time STM32U585 microcontroller (MCU) – no matter what you’re building, it’s your new go-to tool!\u003c\/li\u003e\n\u003cli\u003eAI in a blink: unlock AI-powered vision and sound solutions that react to their environment.\u003c\/li\u003e\n\u003cli\u003eArduino support and developer tools including libraries, sketches, and projects developed for the UNO ecosystem by millions of users.\u003c\/li\u003e\n\u003cli\u003eCompatible with the Arduino UNO ecosystem: UNO Q works with a wide range of Arduino hardware, from classic UNO shields to new carriers, and includes a Qwiic connector for Modulino® nodes and third-party modules.\u003c\/li\u003e\n\u003cli\u003eStreamlined software experience: in addition to Arduino IDE and Arduino Cloud, you can jumpstart development with plenty of pre-built examples and AI models available through Arduino App Lab.\u003c\/li\u003e\n\u003cli\u003eSeamless, unified development: build classic Arduino Sketches, code in Python® thanks to the pre-installed Linux® Debian OS, or mix the two from a single interface – it’s easy, with Arduino App Lab.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch5\u003ePowered by Qualcomm Dragonwing QRB2210\u003c\/h5\u003e\n\u003cp\u003eYour UNO Q is a compact, cost-effective platform with advanced features like machine vision – thanks to the integrated AI and GPU acceleration, quad-core 2.0 GHz CPU, Adreno GPU, 2x ISP, and support for camera, display, and audio provided by the Dragonwing QRB2210.\u003c\/p\u003e\n\u003ch5\u003eAdvanced features\u003c\/h5\u003e\n\u003cul\u003e\n\u003cli\u003eMicroprocessor: Qualcomm® Dragonwing™ QRB2210\u003c\/li\u003e\n\u003cli\u003eMicrocontroller: Real-time, low-power STM32U585 MCU\u003c\/li\u003e\n\u003cli\u003eRAM: 2GB LPDDR4\u003c\/li\u003e\n\u003cli\u003eStorage: 16 GB eMMC built-in (no SD card required)\u003c\/li\u003e\n\u003cli\u003eConnectivity: Dual-band Wi-Fi® 5 (2.4\/5 GHz), Bluetooth® 5.1\u003c\/li\u003e\n\u003cli\u003eHigh-speed headers: Power advanced peripherals – vision, audio, display\u003c\/li\u003e\n\u003cli\u003eClassic UNO headers: Mount shields to add capabilities\u003c\/li\u003e\n\u003cli\u003eLED matrix: 8 x 13 LED matrix for visual creation and feedback\u003c\/li\u003e\n\u003cli\u003eUSB-C connector: Power delivery, video output, or connect keyboard, mouse, USB microphones or USB cameras via dongle\u003c\/li\u003e\n\u003cli\u003eQwiic connector: Expand easily with Modulino® nodes – no soldering required\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eUNO Q empowers innovators to turn ideas into real-world solutions. Whether you’re experimenting with IoT, learning robotics, or diving into AI, your next idea starts with Q.\u003c\/p\u003e\n\u003ch5\u003eWhat is Arduino App Lab?\u003cbr\u003e\u003cbr\u003e\n\u003c\/h5\u003e\n\u003cul\u003e\n\u003cli\u003eUnified Dev Experience\u003cbr\u003eApp Lab is a brand-new integrated development environment that unifies the journey across Linux® and real-time OS.\u003cbr\u003ePreloaded on the UNO Q, App Lab combines Arduino Sketches, Python® scripts, and containerized AI models into fully integrated applications all managed from a single interface.\u003c\/li\u003e\n\u003cli\u003eReady-to-use Apps and Bricks\u003cbr\u003eGet started fast with Arduino Apps, self-contained examples with everything you need. Add plug-and-play features to your projects with pre-built Bricks to accelerate your ideas even more.\u003c\/li\u003e\n\u003cli\u003ePre-loaded AI Models \u003cbr\u003eWith pre-loaded AI models in Arduino App Lab, you can leverage the real-world data for a wide range of capabilities such as object\/human detection, anomaly detection, image classification, sound recognition, and keyword spotting.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eFind out more in our \u003ca href=\"https:\/\/docs.arduino.cc\/software\/app-lab\/\" target=\"_blank\"\u003eofficial documentation\u003c\/a\u003e.\u003c\/p\u003e\n\u003ch5\u003eNeed more than 2 GB RAM and 16 GM eMMC?\u003c\/h5\u003e\n\u003cp\u003eCheck out the Arduino UNO Q 4-GB variant\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"product-desc\" class=\"ino-product-section-content\"\u003e\n\u003cdiv id=\"product-tech\" class=\"ino-product-section\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Arduino® Official","offers":[{"title":"Default Title","offer_id":41412489150597,"sku":"AO-000010-ARD","price":79.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/Screenshot2025-10-29at11.51.24AM.png?v=1767559934"},{"product_id":"rdk-x5-4gb-robot-development-board","title":"D-Robotics RDK X5 AI Developer Kit for ROS Robotics - 4GB, 10Tops","description":"\u003cp\u003eRDK X5 is equipped with Sunrise5 intelligent computing chip, on board 8-core A55 CPU, and comes with almost the same interface configuration as Raspberry Pi. 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src=\"https:\/\/ae01.alicdn.com\/kf\/Sdcefd8633cb745d391a9f57f19cffc93D.jpg\" height=\"102\" width=\"900\"\u003e\u003c\/a\u003e\u003cimg src=\"https:\/\/ae01.alicdn.com\/kf\/Sfda48a57d62d4a2799c7e7550e9c6bd4w.jpg\"\u003e\u003ca class=\"\" href=\"https:\/\/roboduino.aliexpress.com\/store\/1100029134\/pages\/all-items.html?spm=a2g0o.store_pc_home.pcShopHead_2001436923554.1\u0026amp;shop_sortType=bestmatch_sort\u0026amp;productGroupId=40000006806171\u0026amp;SearchText=\u0026amp;shop_filterType=\" target=\"_self\"\u003e\u003cimg src=\"https:\/\/ae01.alicdn.com\/kf\/Sa18b5b8bf15e44f4ae7e9aed06576d263.jpg\" height=\"81\" width=\"900\"\u003e\u003c\/a\u003e\u003cimg src=\"https:\/\/ae01.alicdn.com\/kf\/S2e7d7545bcfd4b06829840dd832c7d09M.jpg\"\u003e\u003c\/p\u003e\n\u003cp align=\"center\"\u003e\u003cimg src=\"https:\/\/ae01.alicdn.com\/kf\/Seb078369a1eb463ab5e916d352407778g.jpg\"\u003e\u003c\/p\u003e","brand":"D-Robotics","offers":[{"title":"Default Title","offer_id":41494551494789,"sku":"DB-000103-DFR","price":134.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/RDK6.png?v=1768822086"},{"product_id":"arduino®-uno™-q-4gb","title":"Arduino® UNO™ Q 4GB","description":"\u003ch2 class=\"ino-product-section-subtitle\"\u003eOverview\u003c\/h2\u003e\n\u003cdiv id=\"product-desc\" class=\"ino-product-section-content\"\u003e\n\u003cp\u003eArduino® UNO™ Q 4GB’s hybrid design makes it the perfect dual-brain platform for your next innovation. It combines a Linux® Debian-capable Qualcomm® Dragonwing™ QRB2210 microprocessor with a real-time STM32U585 microcontroller (MCU). It’s Arduino, it’s a computer, it’s anything you want to build. \u003c\/p\u003e\n\u003cp\u003eThis variant of Arduino UNO Q features 4 GB of RAM and 32 GB of eMMC, making it the best choice if:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eYou intend to use UNO Q in single-board computer (SBC) mode.\u003c\/li\u003e\n\u003cli\u003eYour application requires running multiple, simultaneous high-level processes.\u003c\/li\u003e\n\u003cli\u003eYou plan to use larger, more complex AI or machine learning models (such as high-resolution computer vision or sophisticated audio processing).\u003c\/li\u003e\n\u003cli\u003eYou need substantial built-in storage for logs and data, and\/or a robust development environment.\u003cbr\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eArduino UNO Q is the go-to tool to prototype your next robotics or IoT project, thanks to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAll-in-one toolbox: Arduino UNO Q combines the powerful Dragonwing™ QRB2210 microprocessor (MPU) with a real-time STM32U585 microcontroller (MCU) – no matter what you’re building, it’s your new go-to tool!\u003c\/li\u003e\n\u003cli\u003eAI in a blink: unlock AI-powered vision and sound solutions that react to their environment.\u003c\/li\u003e\n\u003cli\u003eArduino support and developer tools including libraries, sketches, and projects developed for the UNO ecosystem by millions of users\u003c\/li\u003e\n\u003cli\u003eCompatible with the Arduino UNO ecosystem: UNO Q works with a wide range of Arduino hardware, from classic UNO shields to new carriers, and includes a Qwiic connector for Modulino® nodes and third-party modules.\u003c\/li\u003e\n\u003cli\u003eStreamlined software experience: in addition to Arduino IDE and Arduino Cloud, you can jumpstart development with plenty of pre-built examples and AI models available through Arduino App Lab.\u003c\/li\u003e\n\u003cli\u003eSeamless, unified development: build classic Arduino Sketches, code in Python® thanks to the pre-installed Linux® Debian OS, or mix the two from a single interface – it’s easy, with Arduino App Lab.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003ePowered by Qualcomm Dragonwing QRB2210\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003eYour UNO Q is a compact, cost-effective platform with advanced features like machine vision – thanks to the integrated AI and GPU acceleration, quad-core 2.0 GHz CPU, Adreno GPU, 2x ISP, and support for camera, display, and audio provided by the Dragonwing QRB2210.\u003c\/p\u003e\n\u003ch5\u003eAdvanced features\u003c\/h5\u003e\n\u003cul\u003e\n\u003cli\u003eMicroprocessor: Qualcomm® Dragonwing™ QRB2210\u003c\/li\u003e\n\u003cli\u003eMicrocontroller: Real-time, low-power STM32U585 MCU\u003c\/li\u003e\n\u003cli\u003eRAM: 4 GB LPDDR4\u003c\/li\u003e\n\u003cli\u003eStorage: 32 GB eMMC built-in (no SD card required)\u003c\/li\u003e\n\u003cli\u003eConnectivity: Dual-band Wi-Fi® 5 (2.4\/5 GHz), Bluetooth® 5.1\u003c\/li\u003e\n\u003cli\u003eHigh-speed headers: Power advanced peripherals – vision, audio, display\u003c\/li\u003e\n\u003cli\u003eClassic UNO headers: Mount shields to add capabilities\u003c\/li\u003e\n\u003cli\u003eLED matrix: 8 x 13 LED matrix for visual creation and feedback\u003c\/li\u003e\n\u003cli\u003eUSB-C connector: Power delivery, video output, or connect keyboard, mouse, USB microphones or USB cameras via dongle\u003c\/li\u003e\n\u003cli\u003eQwiic connector: Expand easily with Modulino® nodes – no soldering required\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eUNO Q empowers innovators to turn ideas into real-world solutions. Whether you’re experimenting with IoT, learning robotics, or diving into AI, your next idea starts with Q.\u003c\/p\u003e\n\u003ch5\u003eWhat is Arduino App Lab?\u003c\/h5\u003e\n\u003cul\u003e\n\u003cli\u003eUnified Dev Experience\u003cbr\u003eApp Lab is a brand-new integrated development environment that unifies the journey across Linux® and real-time OS.\u003cbr\u003ePreloaded on the UNO Q, App Lab combines Arduino Sketches, Python® scripts, and containerized AI models into fully integrated applications all managed from a single interface.\u003c\/li\u003e\n\u003cli\u003eReady-to-use Apps and Bricks\u003cbr\u003eGet started fast with Arduino Apps, self-contained examples with everything you need. Add plug-and-play features to your projects with pre-built Bricks to accelerate your ideas even more.\u003c\/li\u003e\n\u003cli\u003ePre-loaded AI Models \u003cbr\u003eWith pre-loaded AI models in Arduino App Lab, you can leverage the real-world data for a wide range of capabilities such as object\/human detection, anomaly detection, image classification, sound recognition, and keyword spotting.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eFind out more in our \u003ca href=\"https:\/\/docs.arduino.cc\/software\/app-lab\/\" target=\"_blank\"\u003eofficial documentation\u003c\/a\u003e.\u003c\/p\u003e\n\u003ch5\u003eLooking for lower cost with balanced performance?\u003c\/h5\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/robotpishop.com\/collections\/boards\/products\/arduino-uno-q\" target=\"_blank\" rel=\"noopener\"\u003eCheck out the Arduino UNO Q 2-GB variant.\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"ino-product-section-content\" id=\"product-desc\"\u003e\n\u003cdiv class=\"ino-product-section\" id=\"product-tech\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Arduino® Official","offers":[{"title":"Default Title","offer_id":41523630702725,"sku":"AO-000011-ARD","price":84.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/Screenshot2025-10-29at11.51.24AM.png?v=1767559934"},{"product_id":"portenta-c33","title":"Portenta C33","description":"\u003cdiv role=\"tabpanel\" class=\"product-details-information-tab-content-panel active\" id=\"product-details-information-tab-0\" itemprop=\"description\" data-action=\"pushable\" data-id=\"product-details-information-0\" data-pusher=\"sc-pushable-xs\"\u003e\n\u003ch2 class=\"product-details-information-tab-content-panel-title\"\u003eOverview\u003c\/h2\u003e\n\u003cdiv id=\"product-details-information-tab-content-container-0\" class=\"product-details-information-tab-content-container\" data-type=\"information-content-text\"\u003e\n\u003cp\u003ePortenta C33 is a streamlined module that offers the high performance of the Portenta family at a lower price point, thanks to optimizations and streamlined features.\u003c\/p\u003e\n\u003cp\u003eIdeal to develop cost-effective, real-time applications, Portenta C33 features the Arm® Cortex®-M33 microcontroller by global leader Renesas and supports MicroPython and other high-level programming languages. Thanks to its onboard Wi-Fi® and Bluetooth® Low Energy connectivity, the module stands out as an ideal solution for IoT gateways, remote control systems, fleet management and process tracking.\u003cbr\u003eWhile its secure element guarantees industrial-grade security at the hardware level, the Portenta C33 is also able to perform over-the-air firmware updates with\u003cspan\u003e \u003c\/span\u003e\u003ca data-tabindex-counter=\"3\" data-tabindex-value=\"none\" href=\"https:\/\/cloud.arduino.cc\/\" tabindex=\"-1\"\u003eArduino IoT Cloud\u003c\/a\u003e or other third-party services.\u003c\/p\u003e\n\u003cp\u003eQuickly deploying AI-powered projects becomes quick and easy with Portenta C33, by leveraging a vast array of ready-to-use software libraries and Arduino sketches available, as well as widgets that display data in real time on Arduino IoT Cloud-based dashboards. What’s more, the module’s form factor is compatible with the\u003cspan\u003e \u003c\/span\u003e\u003ca data-tabindex-counter=\"3\" data-tabindex-value=\"none\" href=\"https:\/\/www.arduino.cc\/pro\/hardware-product-family-portenta-family\/\" tabindex=\"-1\"\u003ePortenta\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003eand\u003cspan\u003e \u003c\/span\u003e\u003ca data-tabindex-counter=\"3\" data-tabindex-value=\"none\" href=\"https:\/\/www.arduino.cc\/pro\/hardware-product-family-mkr-family\/\" tabindex=\"-1\"\u003eMKR\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003eranges and features castellated pins – ready for automatic assembly lines and more efficient connections to other components.\u003c\/p\u003e\n\u003ch4\u003eKey benefits include:\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eIdeal for low-cost IoT applications with  Wi-Fi®\/Bluetooth® LE connectivity\u003c\/li\u003e\n\u003cli\u003eSupports MicroPython and other high-level programming languages\u003c\/li\u003e\n\u003cli\u003eOffers industrial-grade security at the hardware level and secure OTA firmware updates\u003c\/li\u003e\n\u003cli\u003eLeverages ready-to-use software libraries and Arduino sketches\u003c\/li\u003e\n\u003cli\u003ePerfect to monitor and display real-time data on Arduino IoT Cloud widget-based dashboards\u003c\/li\u003e\n\u003cli\u003eCompatible with Arduino\u003cspan\u003e \u003c\/span\u003e\u003ca data-tabindex-counter=\"8\" data-tabindex-value=\"none\" href=\"https:\/\/www.arduino.cc\/pro\/hardware-product-family-portenta-family\/\" tabindex=\"-1\"\u003ePortenta\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003eand\u003cspan\u003e \u003c\/span\u003e\u003ca data-tabindex-counter=\"8\" data-tabindex-value=\"none\" href=\"https:\/\/www.arduino.cc\/pro\/hardware-product-family-mkr-family\/\" tabindex=\"-1\"\u003eMKR\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003efamilies\u003c\/li\u003e\n\u003cli\u003eFeatures castellated pins for automatic assembly lines\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003eCost Effective Performance\u003c\/h4\u003e\n\u003cp\u003eReliable, secure and with computational power worthy of its range, Portenta C33 was designed to provide big and small companies in every field with the opportunity to access IoT and benefit from higher efficiency levels and automation.\u003c\/p\u003e\n\u003ch4\u003eApplications\u003c\/h4\u003e\n\u003cp\u003ePortenta C33 brings more applications than ever within users’ reach, from enabling quick plug-and-play prototyping to providing a cost-effective solution for industrial-scale projects.\u003c\/p\u003e\n\u003cp\u003eApplications include:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIndustrial IoT gateway\u003c\/li\u003e\n\u003cli\u003eMachine monitoring to track OEE\/OPE\u003c\/li\u003e\n\u003cli\u003eInline quality control and assurance\u003c\/li\u003e\n\u003cli\u003eEnergy consumption monitoring\u003c\/li\u003e\n\u003cli\u003eAppliances control system\u003c\/li\u003e\n\u003cli\u003eReady-to-use IoT prototyping solution\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cbr\u003eFor more information, see the\u003cspan\u003e \u003c\/span\u003e\u003ca data-tabindex-counter=\"9\" data-tabindex-value=\"none\" href=\"https:\/\/www.arduino.cc\/pro\/hardware-product-portenta-c33\/\" tabindex=\"-1\"\u003ePortenta C33 product page\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003eand feel free to get in touch with our Sales Engineers.\u003cbr\u003eFor full documentation and complete technical specs, visit\u003cspan\u003e \u003c\/span\u003e\u003ca data-tabindex-counter=\"9\" data-tabindex-value=\"none\" href=\"https:\/\/docs.arduino.cc\/hardware\/portenta-c33\" tabindex=\"-1\"\u003eArduino Docs\u003c\/a\u003e.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv role=\"tabpanel\" class=\"product-details-information-tab-content-panel\" id=\"product-details-information-tab-1\" data-action=\"pushable\" data-id=\"product-details-information-1\" data-pusher=\"sc-pushable-xs\"\u003e\n\u003ch2 class=\"product-details-information-tab-content-panel-title\"\u003eTechnical Specifications\u003c\/h2\u003e\n\u003cdiv id=\"product-details-information-tab-content-container-1\" class=\"product-details-information-tab-content-container\" data-type=\"information-content-text\"\u003e\n\u003ctable border=\"1\" cellpadding=\"1\" cellspacing=\"1\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrocontroller\u003c\/td\u003e\n\u003ctd\u003eRenesas R7FA6M5BH2CBG Arm® Cortex®-M33:\n\u003cul\u003e\n\u003cli\u003e1x  Arm® Cortex®-M33 core up to 200 MHz\u003c\/li\u003e\n\u003cli\u003e512 kB onboard SRAM\u003c\/li\u003e\n\u003cli\u003e2 MB onboard Flash\u003c\/li\u003e\n\u003cli\u003eArm TrustZone®\u003c\/li\u003e\n\u003cli\u003eSecure Crypto Engine 9\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eExternal Memories\u003c\/td\u003e\n\u003ctd\u003e16 MB QSPI Flash\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB-C®\u003c\/td\u003e\n\u003ctd\u003eUSB-C® High Speed\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eConnectivity\u003c\/td\u003e\n\u003ctd\u003e\n\u003cul\u003e\n\u003cli\u003e100Mb Ethernet interface (PHY)\u003c\/li\u003e\n\u003cli\u003eWi-Fi®\u003c\/li\u003e\n\u003cli\u003eBluetooth® Low Energy\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterfaces\u003c\/td\u003e\n\u003ctd\u003e\n\u003cul\u003e\n\u003cli\u003eCAN\u003c\/li\u003e\n\u003cli\u003eSDCard\u003c\/li\u003e\n\u003cli\u003eADC\u003c\/li\u003e\n\u003cli\u003eGPIO\u003c\/li\u003e\n\u003cli\u003eSPI\u003c\/li\u003e\n\u003cli\u003eI2S\u003c\/li\u003e\n\u003cli\u003eI2C\u003c\/li\u003e\n\u003cli\u003eJTAG\/SWD\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSecurity\u003c\/td\u003e\n\u003ctd\u003eNXP® SE050C2 Secure Element\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating Temperatures\u003c\/td\u003e\n\u003ctd\u003e-40 °C to +85 °C (-40 °F to 185 °F)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e66,04 mm x 25,40 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Arduino® Official","offers":[{"title":"Default Title","offer_id":41574013698181,"sku":"AO-000012-ARD","price":60.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/ABX00074_02.png?v=1776346724"},{"product_id":"firebeetle-2-esp32-p4-ai-development-kit-mipi-csi-dsi-wi-fi-6","title":"FireBeetle 2 ESP32-P4 AI Development Kit (MIPI CSI \/ DSI \u0026 Wi-Fi 6)","description":"\u003cp\u003eUnleash true 1080p edge AI and interactive HMI applications with the\u003cspan\u003e \u003c\/span\u003eFireBeetle 2 ESP32-P4\u003cspan\u003e \u003c\/span\u003eDevelopment Kit. This all-in-one solution is engineered around the powerful ESP32-P4: a dual-core RISC-V processor featuring a\u003cspan\u003e \u003c\/span\u003e\u003cb\u003eSingle-Precision FPU\u003c\/b\u003e\u003cspan\u003e \u003c\/span\u003eand a professional-grade media engine with\u003cspan\u003e \u003c\/span\u003e\u003cb\u003ehardware-accelerated H.264 encoding (1080p@30fps).\u003c\/b\u003e\u003cspan\u003e \u003c\/span\u003eThe kit provides both MIPI and parallel interfaces for maximum camera and display flexibility, while an onboard co-processor delivers next-generation\u003cspan\u003e \u003c\/span\u003e\u003cb\u003eWi-Fi 6 and Bluetooth 5\u003c\/b\u003e. To bring it all together, the included IO Expansion Board streamlines development, providing an effortless platform to create sophisticated projects like high-performance AI cameras, responsive smart displays, and other advanced vision systems.\u003c\/p\u003e\n\u003cp\u003e\u003cimg title=\"ESP32-P4 High-performing SoC offering extensive IO connectivity, HMI, and security features\" alt=\"ESP32-P4 High-performing SoC offering extensive IO connectivity, HMI, and security features\" src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR1237\/FEATURES_0x0.png.webp\"\u003e\u003c\/p\u003e\n\u003cdiv\u003e\n\u003cstrong\u003eFeatures of ESP32-P4:\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003e\n\u003cp\u003e\u003cb\u003eHigh-Performance AI and Video Processing\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThe ESP32-P4 is engineered for advanced HMI and video applications. Its\u003cspan\u003e \u003c\/span\u003e\u003cb\u003e360MHz dual-core RISC-V CPU\u003c\/b\u003e\u003cspan\u003e \u003c\/span\u003efeatures a\u003cspan\u003e \u003c\/span\u003e\u003cb\u003esingle-precision FPU\u003c\/b\u003e\u003cspan\u003e \u003c\/span\u003eand AI instruction extensions, providing powerful computational performance for complex algorithms.\u003c\/p\u003e\n\u003cp\u003eIt boasts a professional-grade multimedia engine, capable of handling\u003cspan\u003e \u003c\/span\u003e\u003cb\u003e1080p video streams via its MIPI-CSI\/DSI\u003cspan\u003e \u003c\/span\u003e\u003c\/b\u003eand parallel camera\/display interfaces. The onboard hardware accelerator delivers real-time\u003cspan\u003e \u003c\/span\u003e\u003cb\u003eH.264 encoding at 1080p@30fps\u003c\/b\u003e, while the integrated ISP, PPA, and 2D-DMA ensure smooth, responsive GUI development. Combined with native support for\u003cspan\u003e \u003c\/span\u003e\u003cb\u003ecapacitive touch and speech recognition\u003c\/b\u003e, this kit is the perfect choice for any intelligent interactive device.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eNext-Generation Wireless Connectivity\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eA dedicated ESP32-C6 co-processor handles all wireless tasks, freeing the main ESP32-P4 CPU to dedicate its full power to AI models and video processing. This separation ensures maximum performance and stability for the core application.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eFor AI Cameras and Smart Doorbells:\u003cspan\u003e \u003c\/span\u003e\u003cb\u003eWi-Fi 6\u003cspan\u003e \u003c\/span\u003e\u003c\/b\u003eprovides the high throughput and low latency needed to smoothly stream processed 1080p video to the cloud or a smartphone, eliminating stutter and lag even in crowded wireless environments.\u003c\/li\u003e\n\u003cli\u003eFor Interactive Panels and Robotics:\u003cb\u003e\u003cspan\u003e \u003c\/span\u003eBluetooth 5 (LE)\u003c\/b\u003e\u003cspan\u003e \u003c\/span\u003esimplifies the device commissioning process, enabling effortless initial setup via a smartphone app. This also allows the device to act as a hub, reliably controlling nearby Bluetooth sensors, smart locks, or lights.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eRapid Prototyping with IO Expansion Board\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThe IO Expansion Board is designed to eliminate common hardware bottlenecks like messy wiring and unstable connections. It provides a clean, reliable, and clearly labeled hardware foundation, freeing developers to focus on application code.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eFor Robot Vision Systems:\u003cspan\u003e \u003c\/span\u003e\u003cb\u003eI2C\u003c\/b\u003e\u003cspan\u003e \u003c\/span\u003egyroscopes and motor drivers can be plugged directly into the dedicated headers without cross-referencing pinout diagrams. Hardware can be assembled in minutes, allowing development to shift immediately to control algorithms.\u003c\/li\u003e\n\u003cli\u003eFor Home Automation Panels: The clearly marked\u003cspan\u003e \u003c\/span\u003e\u003cb\u003eUART headers\u003c\/b\u003e\u003cspan\u003e \u003c\/span\u003efacilitate the rapid connection of LiDAR sensors or other serial peripherals. Ample\u003cb\u003e\u003cspan\u003e \u003c\/span\u003epower pins\u003c\/b\u003e\u003cspan\u003e \u003c\/span\u003eensure stable, simultaneous power for multiple sensors and a display, eliminating frustrating issues caused by an unstable power supply.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR1237\/Kit-3_0x0.jpg.webp\" alt=\"ESP32-P4 Development Board \u0026amp; IO Expansion Board\" title=\"ESP32-P4 Development Board \u0026amp; IO Expansion Board\"\u003e\u003c\/p\u003e\n\u003cdiv id=\"Introduction\" class=\"content Introduction\"\u003e\n\u003cdiv\u003e\n\u003cp\u003eESP32-P4 Development Board \u0026amp; IO Expansion Board\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eCompatibility Notice:\u003cspan\u003e \u003c\/span\u003e\u003c\/b\u003eThis board uses the ESP32-P4 chip (v1.0). It is compatible with both Arduino IDE and ESP-IDF. Please note that the advanced MIPI-CSI and AI functions currently require the ESP-IDF. All other functions are fully supported in the Arduino IDE.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"Applications\" class=\"content Applications\"\u003e\n\u003cdiv id=\"Applications\" class=\"content Applications\"\u003e\n\u003ch4\u003eApplications\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eAI-enabled network cameras with real-time facial recognition and video streaming\u003c\/li\u003e\n\u003cli\u003eSmart video doorbells or digital peephole viewers\u003c\/li\u003e\n\u003cli\u003eObject tracking gimbals and robot vision systems\u003c\/li\u003e\n\u003cli\u003eInteractive home automation control panels\u003c\/li\u003e\n\u003cli\u003eMultimedia advertising displays and interactive digital photo frames\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"Specification\" class=\"content Specification\"\u003e\n\u003ch4\u003eSpecifications:\u003c\/h4\u003e\n\u003cdiv\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eProcessor \u0026amp; Memory\u003c\/strong\u003e\n\u003cul\u003e\n\u003cli\u003eHP Core: RISC-V 32-bit Dual-Core @ 360 MHz\u003c\/li\u003e\n\u003cli\u003eLP Core: RISC-V 32-bit Single-Core @ 40 MHz\u003c\/li\u003e\n\u003cli\u003ePSRAM: 32MB\u003c\/li\u003e\n\u003cli\u003eFlash: 16MBL2\u003c\/li\u003e\n\u003cli\u003eCache Memory: 768 KB\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eWireless Connectivity\u003c\/strong\u003e\n\u003cul\u003e\n\u003cli\u003eWi-Fi Provided by: Onboard ESP32-C6 Co-processor\u003c\/li\u003e\n\u003cli\u003eWi-Fi Protocol: IEEE 802.11 b\/g\/n\/ax (Wi-Fi 6)\u003c\/li\u003e\n\u003cli\u003eBluetooth Protocol: Bluetooth 5 (LE)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong style=\"font-size: 0.875rem;\"\u003eInterfaces \u0026amp; Peripherals\u003c\/strong\u003e\n\u003cul\u003e\n\u003cli\u003eDisplay Interface: 1x MIPI-DSI (2-lane, Raspberry Pi compatible)\u003c\/li\u003e\n\u003cli\u003eCamera Interface: 1x MIPI-CSI (2-lane, Raspberry Pi compatible)\u003c\/li\u003e\n\u003cli\u003eUSB: 1x High-Speed USB OTG 2.0 (Type-C), 1x USB CDC (Type-C)\u003c\/li\u003e\n\u003cli\u003eAudio: 1x Onboard PDM Microphone\u003c\/li\u003e\n\u003cli\u003eStorage: 1x TF Card Slot\u003c\/li\u003e\n\u003cli\u003eOther: I2C, I3C, SPI, I2S, UART, SDIO, ADC, Touch, PWM, IR\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong style=\"font-size: 0.875rem;\"\u003ePhysical \u0026amp; Electrical\u003c\/strong\u003e\n\u003cul\u003e\n\u003cli\u003eOperating Voltage: 3.3V\u003c\/li\u003e\n\u003cli\u003eInput Voltage: 5V DC (via Type-C or VCC)\u003c\/li\u003e\n\u003cli\u003eOperating Temperature: -10°C to 60°C\u003c\/li\u003e\n\u003cli\u003eMain Board Dimensions: 25.4 x 60 mm\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cp\u003e\u003cstrong\u003eNote:\u003c\/strong\u003e Peripheral functions are multiplexed. The numbers above represent the maximum available count for each type.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"Shipping-List\" class=\"content ShippingList\"\u003e\n\u003ch4\u003eShipping List\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eFireBeetle 2 Board ESP32-P4 Microcontroller x1\u003c\/li\u003e\n\u003cli\u003eIO Expansion Board for FireBeetle 2 ESP32-P4 x1\u003c\/li\u003e\n\u003cli\u003e20pin-2.54mm Pin Header x2\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"Documents\" class=\"content documents\"\u003e\n\u003ch4\u003eDocuments\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/wiki.dfrobot.com\/dfr1237\/\" target=\"_blank\"\u003eProduct Wiki\u003c\/a\u003e\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":41593485033605,"sku":"DB-000099-DFR","price":19.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/1_2faa1094-7248-4006-a882-33b2b7aa411f.png?v=1776773822"},{"product_id":"rock-pi-4-model-se-rockchip-rk3399-t-arm-single-board-computer-4gb-ddr4","title":"ROCK Pi 4 Model SE - Rockchip RK3399-T ARM Single Board Computer (4GB DDR4)","description":"\u003cp\u003eROCK 4 SE is a reliable and high-performing ARM SBC (Single Board Computer) that offers class-leading performance and superior hardware as standard. This special edition board is based on a powerful Rockchip RK3399-T hexa-core processor and equipped with Arm® big.LITTLE™ technology dual Cortex-A72®CPU, quad Cortex-A53 CPU, Arm Mali™-T860MP4 GPU, and 4GB of 64-bit LPDDR4 RAM. With onboard RTC, WiFi, Bluetooth, antenna, audio jack, 4K HDMI port, and many more features, ROCK 4 SE is the perfect Raspberry Pi alternative, that provides an incredible performance as solid as a ROCK!\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eNote:\u003cspan\u003e \u003c\/span\u003e\u003c\/b\u003eWe recommend using a PD or QC power supply with a maximum output of 9V or 12V.\u003c\/p\u003e\n\u003cp\u003e\u003cimg title=\"Features of ROCK Pi 4 SE Single Board Computer\" alt=\"Features of ROCK Pi 4 SE Single Board Computer\" src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/cache3\/data\/DFR1051\/update230508\/1.webp\"\u003e\u003c\/p\u003e\n\u003cp\u003eFigure: Features of ROCK 4 SE\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003ePowerful Rockchip processor \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eA low-power high-performing Rockchip RK3399-T processor is embedded into the heart of the ROCK 4 SE board. Equipped with an Arm® big.LITTLE™ technology dual Cortex®-A72@1.5GHz, quad Cortex-A53@1.0GHz CPU, Arm Mali™ – T860MP4 GPU and 4GB 64bit LPDDR4 RAM, be sure that your board will provide a high-performance solid as a ROCK!  \u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eExtensive storage capacity\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eROCK 4 SE offers you an immense advantage over other competitors’ boards, benefiting from extensive storage capability. It features a Micro SD card, an eMMC and an M.2 (M key), ensuring the board with a tremendous amount of additional storage capacity.  \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eRTC (real-time clock)  \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThe onboard real-time clock allows you to accurately register the time even when the ROCK 4 SE is powered off. The board features an onboard connector for an RTC battery. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eMultiple connectivity capabilities\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThe board offers you multiple connectivity capabilities, including Bluetooth 5.0, WiFi, Gigabit Ethernet, USB and HDMI ports, and a built-in antenna, allowing users to widely incorporate ROCK 4 SE into applications.  \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eHighly compatible with SBC accessories\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eROCK 4 SE features an onboard 40P GPIO extension header, offering extensive compatibility with a wide range of SBC accessories. \u003c\/p\u003e\n\u003cp\u003e\u003cimg title=\"Pinout of ROCK Pi 4 SE Single Board Computer\" alt=\"Pinout of ROCK Pi 4 SE Single Board Computer\" src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/cache3\/data\/DFR1051\/update230508\/5.webp\"\u003e\u003c\/p\u003e\n\u003cp\u003eFigure: Pinout of ROCK 4 SE\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cimg title=\"System of ROCK Pi 4 SE Single Board Computer\" alt=\"System of ROCK Pi 4 SE Single Board Computer\" src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/cache3\/data\/DFR1051\/update230508\/ROCK%204SE%20software%20support_0x0.png.webp\"\u003e\u003c\/p\u003e\n\u003cp\u003eFigure: ROCK 4 SE OS\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eAdvanced multimedia functions \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThe ROCK 4 SE is fitted with an Arm Mali™ – T860MP4 quad-core graphics processing unit (GPU), ideal for advanced multimedia applications, including games. The board incorporates a camera and display interfaces, an HDMI port supporting displays up to 4Kp60 resolution, a high-quality audio output via a 3.5mm onboard audio jack that supports microphone input as default, and much more.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eROCK 4 SE is the perfect Raspberry Pi alternative\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBetter performance – 4GB 64bit RAM, more processing cores, and a broader memory interface\u003c\/li\u003e\n\u003cli\u003eExtensive storage capacity\u003c\/li\u003e\n\u003cli\u003eSimilar form factor and Interface layout\u003c\/li\u003e\n\u003cli\u003e40 pin GPIO extension header\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv class=\"content Introduction\" id=\"Introduction\"\u003e\n\u003cp\u003e\u003cimg title=\"ROCK Pi 4 SE Single Board Computer Board Interface\" alt=\"ROCK Pi 4 SE Single Board Computer Board Interface\" src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/cache3\/data\/DFR1051\/update230508\/6.webp\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg title=\"ROCK Pi 4 SE Single Board Computer Board Interface\" alt=\"ROCK Pi 4 SE Single Board Computer Board Interface\" src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/cache3\/data\/DFR1051\/3.webp\"\u003e\u003c\/p\u003e\n\u003cp\u003eFigure: ROCK 4 SE Board Interface\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cimg title=\"ROCK Pi 4 SE Single Board Computer Dimensional Drawing\" alt=\"ROCK Pi 4 SE Single Board Computer Dimensional Drawing\" src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/cache3\/data\/DFR1051\/4.webp\"\u003e\u003c\/p\u003e\n\u003cp\u003eFigure: Dimensional Drawing\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cimg title=\"Top of Radxa ROCK 4SE vs. Raspberry Pi 3B vs. Raspberry Pi 4B\" alt=\"Top of Radxa ROCK 4SE vs. Raspberry Pi 3B vs. Raspberry Pi 4B\" src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/cache3\/data\/DFR1051\/update230508\/Top%20of%20Radxa%20ROCK%204SE%20vs.%20Raspberry%20Pi%203B%20vs.%20Raspberry%20Pi%204B_0x0.png.webp\"\u003e\u003c\/p\u003e\n\u003cp\u003eFigure: Board Overvire of Radxa ROCK 4SE vs. Raspberry Pi 3B vs. Raspberry Pi 4B\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"content SelectionGuide\" id=\"Selection-Guide\"\u003e\n\u003ch4\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/7_107b6c46-dfa5-43ba-b6ad-ef87fa0989e4.png?v=1776774532\" alt=\"\"\u003e\u003c\/h4\u003e\n\u003cdiv id=\"Applications\" class=\"content Applications\"\u003e\n\u003ch4\u003eApplications\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eIoT connectivity\u003c\/li\u003e\n\u003cli\u003eComputer Vision applications\u003c\/li\u003e\n\u003cli\u003eRobotics\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"Specification\" class=\"content Specification\"\u003e\n\u003ch4\u003eSpecifications\u003c\/h4\u003e\n\u003cdiv\u003e\n\u003cul\u003e\n\u003cli\u003eSOC: Rockchip RK3399-T\u003c\/li\u003e\n\u003cli\u003eProcessor: Arm®big.LITTLE™technology (Dual Cortex®-A72@1.5GHz, Quad Cortex-A53@1.0GHz) \u003c\/li\u003e\n\u003cli\u003eGPU: Arm Mali™–T860MP4 GPU\u003c\/li\u003e\n\u003cli\u003eMemory: Dual channel (64bit) 4GB LPDDR4 RAM \u003c\/li\u003e\n\u003cli\u003ePower Req: USB Type-C™ PD\/QC 9-12V \u003c\/li\u003e\n\u003cli\u003eHDMI: 1 × 4k@60fps HDMI\u003c\/li\u003e\n\u003cli\u003eUSB: 2 × USB 2.0, 1 × USB 3.0, 1 × USB 3.0 OTG (Switchable)\u003c\/li\u003e\n\u003cli\u003eAudio Ports: 3.5mm jack, analog stereo output, microphone input\u003c\/li\u003e\n\u003cli\u003eConnectivity: WiFi 5\/BT 5.0, BLE, Gigabit Ethernet\u003c\/li\u003e\n\u003cli\u003eMIPI: 1 × 2 lane DSI, 1 × 2 lane CSI\u003c\/li\u003e\n\u003cli\u003eStorage: Micro SD\/M.2(M key)\/eMMC\u003c\/li\u003e\n\u003cli\u003eEMMC: B2B connector\u003c\/li\u003e\n\u003cli\u003eUART: 2 × UART\u003c\/li\u003e\n\u003cli\u003eRTC: Yes (support for external battery)\u003c\/li\u003e\n\u003cli\u003eSoftware\u003cbr\u003e       ARMv8 Instruction Set\u003cbr\u003e       Debian\/Ubuntu Linux support\u003cbr\u003e       Android7.1\/Android 9.0\/Android 10\/Android 11 support\u003cbr\u003e       GPU-enabled AI stack such as Caffe\u003cbr\u003e       Hardware access\/control library for Linux\/Android\u003c\/li\u003e\n\u003cli\u003eOperation Temperature: 0 to 50 ℃\u003c\/li\u003e\n\u003cli\u003eStorage Temperature: -20 to 80 ℃\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv id=\"Documents\" class=\"content documents\"\u003e\n\u003ch4\u003eDocuments\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/github.com\/May-DFRobot\/DFRobot\/blob\/master\/radxa_rock4se_product_brief_Revision_1.8.pdf\" target=\"_blank\"\u003eProduct Brief\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/github.com\/May-DFRobot\/DFRobot\/blob\/master\/SCHEMATIC_ROCK_4SE_V1.53.pdf\" target=\"_blank\"\u003eSchematic\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/github.com\/May-DFRobot\/DFRobot\/raw\/master\/Rock-4-SE-FCC-Certificate.pdf\" target=\"_blank\"\u003eFCC-Certificate\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/github.com\/May-DFRobot\/DFRobot\/raw\/master\/Rock-4-SE-CE-Certificate.pdf\" target=\"_blank\"\u003eCE-Certificate\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"RADXA","offers":[{"title":"Default Title","offer_id":41593500631173,"sku":"DB-000100-DFR","price":124.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/1_f12c041b-cd5a-4da6-9dda-6ca5d8d9ea37.png?v=1776774602"},{"product_id":"rock-pi-5b-model-rockchip-rk3588-arm-soc-single-board-computer-16gb-ram","title":"ROCK Pi 5B Model - Rockchip RK3588 ARM SoC Single Board Computer (16GB RAM)","description":"\u003cp\u003eThe ROCK 5B is a robust, high-performance, and versatile ARM SBC (Single Board Computer) founded on the formidable Rockchip RK3588 SoC, replete with top-tier features, outstanding functionality, and extensive expansion options as standard.\u003c\/p\u003e\n\u003cp\u003eIncorporating a Quad Arm Cortex A76 CPU, Quad Arm DynamIQ Cortex A55, Arm Mali G610MC4 GPU, stereo audio jack, dual HDMI ports capable of supporting displays up to 8Kp60 resolution, micro-HDMI input port capable of supporting up to 4Kp60 resolution, and a multitude of connectivity and storage options, it is compatible with an extensive range of software operating systems as standard. Prepare to elevate your designs with the ROCK 5B.\u003c\/p\u003e\n\u003cp\u003eThe onboard On\/Off power button enables the ROCK 5B to perform safe shutdowns with a single touch, eliminating the risk of storage corruption. It also boasts multiple storage capabilities and comes equipped with an eMMC socket as standard. The board's exceptional features, remarkable performance, and dependability make it the ideal choice for even the most demanding multimedia and industrial applications.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/cache3\/data\/DFR1052\/update230508\/12_0x0.jpg.webp\" alt=\"Features of ROCK 5B\" title=\"Features of ROCK 5B\"\u003e\u003c\/p\u003e\n\u003cdiv\u003eFigure: Features of ROCK 5B\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eReliable Rockchip SoC\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThe ROCK 5B delivers reliable and robust performance, founded on the Rockchip RK3588 SoC, Arm DynamIQ Quad Cortex-A76 @ 2.2\/2.4GHz, Quad Cortex-A55 @ 1.8GHz CPU, Arm Mali-G610MC4 GPU, and 8GB 64bit LPDDR4 RAM. You can rest assured that your board will provide exceptional performance - it’s as solid as a ROCK!\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eSuper handy power on\/off button for safe shutdowns\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eTired of having to input code into the command line to safely shut down your single-board computer? The ROCK 5B features a built-in On\/Off power button, allowing you to perform safe shutdowns with a single touch, without the risk of storage corruption. This immense convenience comes as standard with the ROCK 5B, providing you with flexibility in your applications.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eMore OS, more options\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThe ROCK 5B is highly versatile, boasting compatibility with a multitude of operating systems, including Android 12, Debian\/Ubuntu Linux, the full implementation of the Arm architecture v8 instruction set, and more.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eNo storage limitations\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThe ROCK 5B boasts extensive storage capacity, 8GB RAM, and a high-speed eMMC socket for eMMC modules that can be utilized for both OS and data storage.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eHighly compatible with SBC accessories\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThe 40-pin GPIO expansion header supports a vast array of interface options, endowing the board with virtually limitless connectivity capabilities and ensuring exceptional compatibility with a plethora of SBC accessories.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/cache3\/data\/DFR1052\/update230508\/10_0x0.png.webp\" alt=\"Pinout of ROCK 5B\" title=\"Pinout of ROCK 5B\"\u003e\u003c\/p\u003e\n\u003cp\u003eFigure: Pinout of ROCK 5B\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eUnrivaled 8K display\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThe ROCK 5B single-board computer that supports 8K display. With an Arm Mali G610MC4 graphics processing unit (GPU) at its core, the ROCK 5B is custom-built for advanced multimedia applications, including gaming, video playback, and digital signage. The board boasts camera and display interfaces, two HDMI ports capable of supporting dual displays up to 8Kp60 and 4Kp60 resolution, a micro-HDMI input port capable of supporting up to 4Kp60 resolution, high-quality stereo audio output via a 3.5mm audio jack, and much more.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/cache3\/data\/DFR1052\/update230508\/7_0x0.png.webp\" alt=\"Supports 8K Display\" title=\"Supports 8K Display\"\u003e\u003c\/p\u003e\n\u003cp\u003eFigure: Supports 8K Display\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eTrue thermal management\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThe ROCK 5B features a PWM fan connector (with power output and voltage to be confirmed) and two heatsink mounting holes, ensuring that no matter how demanding your application may be, the ROCK 5B will deliver exceptional performance under most conditions. We think that's pretty cool!\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/cache3\/data\/DFR1052\/update230508\/4_0x0.png.webp\" alt=\"Dimensional Drawing of Rock 5B\" title=\"Dimensional Drawing of Rock 5B\"\u003e\u003c\/p\u003e\n\u003cp\u003eFigure: Dimensional Drawing of Rock 5B\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/cache3\/data\/DFR1052\/update230508\/11_0x0.png.webp\" alt=\"Peripherals of Rock 5B\" title=\"Peripherals of Rock 5B\"\u003e\u003c\/p\u003e\n\u003cdiv\u003eFigure: Peripherals of Rock 5B\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003ciframe src=\"https:\/\/www.youtube.com\/embed\/w85QTDPp-4Q\" class=\"note-video-clip\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003cdiv id=\"Applications\" class=\"content Applications\"\u003e\n\u003ch4\u003eApplications\u003c\/h4\u003e\n\u003cdiv\u003e\n\u003cul\u003e\n\u003cli\u003e4k video capture card\u003c\/li\u003e\n\u003cli\u003eIoT connectivity\u003c\/li\u003e\n\u003cli\u003eComputer Vision applications\u003c\/li\u003e\n\u003cli\u003eRobotics\u003c\/li\u003e\n\u003c\/ul\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\u003cul\u003e\n\u003cli\u003eSoC: Rockchip RK3588\u003c\/li\u003e\n\u003cli\u003eProcessor: Arm DynamIQ (Quad Cortex – A76@2.2\/2.4GHz, Quad Cortex – A55@1.8GHz)\u003c\/li\u003e\n\u003cli\u003eGPU: Arm Mali G610MC4\u003c\/li\u003e\n\u003cli\u003eMemory: 16GB 64bit LPDDR4 RAM\u003c\/li\u003e\n\u003cli\u003ePower Requirements: USB TypeC™ PD Version 2.0 with 9V\/2A, 12V\/2A, 15V\/2A and 20V\/2A. The recommended power source capacity is at least 24W without an M.2 SSD or 36W with an M.2 SSD.\u003c\/li\u003e\n\u003cli\u003eHDMI: Dual HDMI ports supporting displays up to 8Kp60 resolution and 4Kp60, and a micro-HDMI input port supporting up to 4Kp60 resolution.\u003c\/li\u003e\n\u003cli\u003eUSB: 2×USB2 HOST ports, 1 USB3 HOST port, 1 USB3 OTG\/HOST port\u003c\/li\u003e\n\u003cli\u003eMIPI: 1×4 lane DSI, 1×4 lane CSI\u003c\/li\u003e\n\u003cli\u003eStorage: Micro SD \/ eMMC\u003c\/li\u003e\n\u003cli\u003eUART: 2×UART\u003c\/li\u003e\n\u003cli\u003eOn\/Off Power Button: Yes\u003c\/li\u003e\n\u003cli\u003eSoftware:\u003cbr\u003e     Full implementation of the Arm architecture v8 instructions set\u003cbr\u003e     Debian\/Ubuntu Linux support\u003cbr\u003e     Android 12 support\u003cbr\u003e     RKNPU2 NPU software stack\u003cbr\u003e     Hardware access\/control library for Linux and Android\u003c\/li\u003e\n\u003cli\u003eOperation temperature: 0 to 50 °C\u003c\/li\u003e\n\u003cli\u003eStorage temperature: -20 to 80 °C\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"Documents\" class=\"content documents\"\u003e\n\u003ch4\u003eDocuments\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/github.com\/May-DFRobot\/DFRobot\/raw\/master\/Getting_Started_with_ROCK_5B.pdf\" target=\"_blank\"\u003eGetting Started\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/github.com\/May-DFRobot\/DFRobot\/raw\/master\/Rock-5B-Product-Brief-v1.1.pdf\" target=\"_blank\"\u003eProduct Brief\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/wiki.radxa.com\/Rock5\/guide\/android12\" target=\"_blank\"\u003eAndroid 12 Guide for Installation\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/wiki.radxa.com\/Rock5\/linux\/debian\" target=\"_blank\"\u003eDebian Guide for Installation\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/wiki.radxa.com\/Rock5\/linux\/ubuntu\" target=\"_blank\"\u003eUbuntu Guide for Installation\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/forum.radxa.com\/t\/how-to-use-windows-11-on-rock-5b\/15524\" target=\"_blank\"\u003eWindows for Rock 5B\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"RADXA","offers":[{"title":"Default Title","offer_id":41593501319301,"sku":"DB-000101-DFR","price":314.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/1_34f4883e-7114-4e38-8ce5-b02a7f202db5.png?v=1776775005"},{"product_id":"d-robotics-rdk-x5-ai-developer-kit-for-ros-robotics-8gb-10tops","title":"D-Robotics RDK X5 AI Developer Kit for ROS Robotics - 8GB, 10Tops","description":"\u003cp\u003eThe D-Robotics RDK X5 Development Board is the ultimate AI developer kit for building intelligent machines, designed to accelerate ROS robotics projects. This high-performance AI robot board supercharges the development workflow by integrating a powerful 10 TOPS NPU, enabling complex AI models like Transformers to run directly on the edge. As the perfect core for any ROS robot kit, it provides the computational horsepower and seamless integration needed to take robots from concept to reality, faster.\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eElite AI Performance on the Edge\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eEnabling robots to move beyond the cloud and achieve true autonomy, the RDK X5 delivers a comprehensive performance leap. It features a 10 TOPS NPU dedicated to accelerating intelligent algorithms. This power allows complex AI models to run in real-time, directly on the hardware, providing exceptional computational support for demanding robotics applications.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR1238\/3_0x0.jpg.webp\" alt=\"Super Powerful Computing Power Boost of RDK X5 AI Board\" title=\"Super Powerful Computing Power Boost of RDK X5 AI Board\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eSeamless Integration \u0026amp; Versatile Connectivity\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eEngineered for reliability, the RDK X5 is designed to drop seamlessly into any ROS project. It features dual-band Wi-Fi 6 and Bluetooth 5.4 for stable, high-speed wireless communication. For robust industrial integration, the board includes a high-speed CAN FD interface and Power over Ethernet (PoE) support, simplifying wiring and deployment in any autonomous system.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR1239\/Rich%20interfaces_0x0.png.webp\" alt=\"Rich interfaces of RDK X5 Robotics Developer Kit\" title=\"Rich interfaces of RDK X5 Robotics Developer Kit\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eAAdvanced Machine Vision \u0026amp; Perception\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThe RDK X5 brings robotic perception to life with dual MIPI inputs for seamless compatibility with advanced stereo vision algorithms. Its Advantageous Algorithm Matrix uses deep learning to ensure precise motion estimation and keypoint matching, delivering robust performance even in challenging conditions like low light, backlighting, or weak textures.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR1239\/Advantageous%20Algorithm%20Matrix_0x0.png.webp\" alt=\"Advantageous Algorithm Matrix of RDK X5 Robotics Developer Kit\" title=\"Advantageous Algorithm Matrix of RDK X5 Robotics Developer Kit\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eA Streamlined \u0026amp; Open Development Environment\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eDevelopment efficiency is boosted by the innovative \"Flash Connect\" paradigm, which uses a single Type-C cable for system programming, data transfer, and debugging. The RDK X5 provides a flexible foundation for custom applications with full Ubuntu support, multiple memory configurations (up to 8GB RAM), and a powerful open-source ecosystem for immediate development.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/dfimg.dfrobot.com\/enshop\/image\/data\/DFR1239\/Innovative%20Flash%20Connect_0x0.png.webp\" alt=\"Innovative\" title=\"Innovative\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ciframe src=\"https:\/\/www.youtube.com\/embed\/YUhkF7lPQ0k\" class=\"note-video-clip\"\u003e\u003c\/iframe\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eVideo: RDK X5: High Performance YOLO Model Deployment on a Budget | The Best AI Board\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003ciframe src=\"https:\/\/www.youtube.com\/embed\/Yc6XdMlLpxI?si=NA3k3o05VGJ4Kgem\" class=\"note-video-clip\"\u003e\u003c\/iframe\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eVideo: RDK X5: High Performance YOLO Model Deployment on a Budget | The Best AI Board\u003c\/p\u003e\n\u003ch3\u003eFeatures:\u003cbr\u003e\n\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eHigh-Performance Computing: 8x A55 cores @1.5GHz with 8GB RAM\u003c\/li\u003e\n\u003cli\u003eAI Acceleration: 10 TOPS BPU + 32 GFLOPS GPU\u003c\/li\u003e\n\u003cli\u003eAdvanced Connectivity: Wi-Fi 6 \u0026amp; Bluetooth 5.4 with optional external antennas\u003c\/li\u003e\n\u003cli\u003eVersatile I\/O: 4x USB 3.0, HDMI, MIPI CSI\/DSI, CAN FD, and 28 GPIOs\u003c\/li\u003e\n\u003cli\u003eMedia Processing: 4K60 H.265\/H.264 encoding\/decoding\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eSpecifications:\u003cbr\u003e\n\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eCPU: 8x A55@1.5GHz\u003c\/li\u003e\n\u003cli\u003eRAM: 8GB LPDDR4\u003c\/li\u003e\n\u003cli\u003eBPU: 10 TOPS\u003c\/li\u003e\n\u003cli\u003eGPU: 32Gflops\u003c\/li\u003e\n\u003cli\u003eStorage: Micro SD card support\u003c\/li\u003e\n\u003cli\u003eMultimedia: H.265\/H.264 up to 3840x2160@60fps\u003c\/li\u003e\n\u003cli\u003eCamera Input: 2 x 4-lane MIPI CSI\u003c\/li\u003e\n\u003cli\u003eUSB Host: 4 x USB 3.0 (Type-A)\u003c\/li\u003e\n\u003cli\u003eUSB Device: 1 x USB 2.0 (Type-C)\u003c\/li\u003e\n\u003cli\u003eAudio: 3.5mm headphone jack\u003c\/li\u003e\n\u003cli\u003eDisplay Outputs: HDMI (1080p60) + MIPI DSI 4 Lane\u003c\/li\u003e\n\u003cli\u003eWireless: Wi-Fi 6 \u0026amp; Bluetooth 5.4\u003c\/li\u003e\n\u003cli\u003eWired Network: Gigabit Ethernet with PoE\u003c\/li\u003e\n\u003cli\u003eCAN: 1x CAN FD\u003c\/li\u003e\n\u003cli\u003eGPIO: 28 pins (5x UART, 8x PWM, 3x I2C, 2x SPI, 1x I2S)\u003c\/li\u003e\n\u003cli\u003ePower: 5V\/5A\u003c\/li\u003e\n\u003cli\u003eOS Support: Ubuntu 22.04\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003eDocuments\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/d-robotics.github.io\/rdk_doc\/en\/Robot_development\/apps\/slam\/\" target=\"_blank\"\u003eRDK X5 Application Examples\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/github.com\/DFRobotdl\/DFROBOTDL\/tree\/main\/DFR1239\" target=\"_blank\"\u003eDFROBOTDL GitHub Repository\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/developer.d-robotics.cc\/en\/rdkx5\" target=\"_blank\"\u003eOfficial Website\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"D-Robotics","offers":[{"title":"Default Title","offer_id":41593502236805,"sku":"DB-000102-DFR","price":184.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0565\/5819\/0725\/files\/2_8f11ed09-26d9-4793-84ea-19c92c250689.png?v=1776856865"}],"url":"https:\/\/robotpishop.com\/collections\/ai-boards.oembed","provider":"Robot Pi Shop","version":"1.0","type":"link"}