An ESP32 AI camera system combines traditional camera hardware with artificial intelligence (AI) software to perform intelligent functions beyond basic image capture. These systems can analyze images and video and make decisions based on that analysis, often enhancing security, automation, and image quality.
Elecrow’s AI camera development board is an intelligent development board based on the AI camera system. It is a micro-intelligent development board and is designed for lightweight applications such as education, makers, and industrial recognition.
This AI camera uses an ESP32-S3 low-power dual-core SoC, built-in WiFi+BLE communication functions. It is equipped with a GC2145 2-megapixel camera that can accurately recognize faces, objects, motion trajectories, etc. The TFT-LCD capacitive touch screen is easy to operate and can quickly switch recognition functions. The RGB lighting module can fill in the light for objects in the dark, and the MEMS microphone and speaker can be used for intercom and DIY voice commands. The AI vision camera is pre-installed with AI online voice intercom.
It has UART and BAT interfaces, and can be linked and controlled with mainstream SBCs such as Arduino and Raspberry Pi, and has good expansion capabilities.
The compact design, rich external interface advantages, and broad market potential will redefine multimodal AI vision + voice interaction and redefine intelligent perception.
For more documentation, please visit the Wiki or GitHub.
AI Camera supports audio control
It supports voice input and audio playback for the intercom.
Support Multiple Development Languages and Environments
The expansion interface can connect with multiple SBCs.
It can connect with Raspberry Pi, Audino, micro: bit, LattePanda, etc.
Hardware Overview
Feature
Audio control. Supports AI Online Voice Intercom, voice input and audio playback, and can perform intercom and DIY voice control
Multi-scenario interface. Reserved battery interface and UART, easy to connect to platforms such as Arduino and Raspberry Pi for linkage with other main controls.
Wireless communication. Equipped with a WiFi chip, real-time data upload, supports remote wireless control, and OTA update of recognition model data.
Touch operation. Capacitive touch screen design can quickly switch between different recognition functions, easy to operate.
Who Needs This?
Makerspace, programming training institutions, and hardware laboratories
Enterprise users, industrial scenario test groups
Primary and secondary school STEAM education and university scientific research teaching
Specification
Main Chip: ESP32-S3R8
Processor
Equipped with high-performance Xtensa 32-bit LX7 dual-core processor, with a main frequency of up to 240MHz
