AI-On-The-Edge-Cam

Price range: 30.00 $ through 36.00 $

ESP32-S3 development board with camera and PoE, Ethernet connectivity, micro-SD slot, 16 MB flash + 8 MB RAM, support for the AI-on-the-Edge-Device framework, built-in connector for OV2640/OV5640 camera, 4ร— Smart LEDs for lighting, option to connect an external WiFi antenna, support for Power over Ethernet (PoE), support for battery operation with controlled sleep mode (sleep ~ 20 ยตA), compatibility with LoRa/LoRaWAN modules (when using SPI and an SD card), support for modern firmware including CircuitPython, web flashing and OTA updates, suitable for reading analogue meters (water, gas, electricity) via camera and edge-AI processing directly on the board

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Description

What is it?

This is an ESP32-S3 development board (16 MB flash, 8 MB RAM) that is compatible with theย AI-on-the-Edge-Deviceย framework. It integrates Ethernet with PoE, a micro-SD card slot, a camera with WS2812B back-lighting LEDs, a Stemma QT connector, comprehensive battery management, and a low-power sleep mode that draws just 20 ยตA.

Why did you make it?

It was created because, some time ago, I came across a great edge-AI framework calledย AI-On-The-Edge-Deviceย and, after someย discussionย with the creators, I decided to build this custom hardware. The main motivation was that the ESP32-Cam, which is mostly used with the framework, lacks good power and battery management, camera back-lighting, and Ethernet/PoE support.

What makes it special?

  • Ethernet with PoE
  • Camera with 4 ร— WS2812B smart LEDs for back-lighting
  • Micro-SD card slot
  • 20 ยตA sleep current
  • Integrated battery charging, protection, and measurement
  • External antenna support
  • Stemma QT IยฒC connector for external sensors
  • Compatible withย Ai-on-the-edge-device Esp32-s3 branch
  • Schematics available via Datasheet tab

Additional information

Weight 0.022 kg
Dimensions N/A
MCU

ESP32-S3

RAM size
Flash size

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