Description

What is an AI camera system?

An 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.

ElecrowsAI camera development boardis an intelligent development board based on the AI camera system. It is a micro-intelligent development board that integratesmultiple algorithms forrecognition,and is designed for lightweight applications such aseducation, makers, and industrial recognition.

This AI camera usesESP32-S3low-power dual-core SoC, built-inWiFi+BLEcommunication function, and can support localAI recognitionandcloud reasoning.

It is equipped with aGC2145 2-megapixel camerathat can accuratelyrecognize faces, objects, motion trajectories, etc. The TFT-LCDcapacitive touch screenis easy to operate and can quickly switch recognition functions. TheRGB lightingmodule can fill in the light for objects in the dark, and theMEMS microphone and speakercan be used for intercom and DIY voice commands.

The AI visual camera presets a variety of intelligent recognition algorithms such as face recognition, AI Online Image Recognition, and AI Online Voice Intercom, and is widely used in teaching experiments, smart car vision modules, industrial vision classification, and other scenarios.

It has UART and BAT interfaces, and can be linked and controlled with mainstream SBCs such asArduino 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 theWikiorGitHub.

For configuration visit this link: https://youtu.be/ExLhXuUmoLg

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

• Multiple visual recognition algorithms. Supports face recognition, AI Online Image Recognition, and AI Online Voice Intercom.
• Audio control. Supports 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.
• Ready to use. Built-in offline recognition model, can run as soon as it is turned on
• Wireless communication. Equipped with 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

Where is it used?

• STEAM education:learning visual recognition, image processing, and AI control
• Garbage classification demonstration:quickly identifying recyclables, hazardous materials, etc.
• Industrial identification:suitable for assembly line object recognition, label scanning, etc.
• Interactive experiment:programming and controlling peripherals with micro:bit and Raspberry Pi

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
System memory	8M PSRAM, 384KB ROM
Storage	16M Flash
Development Language	C/C++/MicroPython
Development Environment	ESP-IDF/Arduino/MicroPython etc.
Wireless Communication
Bluetooth	Bluetooth5, internal antenna
WiFi	WiFi 4 protocol, supports 2.4GHz, built-in antenna
Image Sensor (Camera)
GC2145	2.0Megapixels, 120-degree wide-angle
Compatible cameras	Compatible with OV2640/OV5640
Screen
Size	1.83 inch (Rounded Corners)
Screen Type	TFT-LCD
Touch Type	Capacitive Touch
Resolution	320*240
Audio
Microphone	MEMS microphone, sensitivity -26dB1dB, signal-to-noise ratio 58dB
Speaker	8/1W
Hardware
UARTInterface	4PIN UART serial port connector (pitch 2mm)
BAT Interface	2-pin battery holder (battery not included)
Type-C Interface	Power supply + program burning interface, input power 5V/1A
Button	RESET button, AI button
LED Light	Power indicator, White fill light, RGB Indicator, battery indicator
Other
Power Input	5V
Operating Temperature	-20~70
Storage Temperature	-30~80
Operation Power
Size	56*45*18.6mm
Shell Material	Acrylic
Net Weight	32g

Package List

• 1x AI Camera Development Board
• 1x Type-C Cable
• 1x UART Serial Cable

Wiki & External links

• WiKi
• Github
• ESP32-S3 Datasheet
• AI Camera Quick Start Guide
• AI Camera Development Board Datasheet