ESP32-S3 AI Camera Module

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The ESP32-S3 AI Camera combines a wide-angle IR camera, microphone and speaker with edge AI processing and Wi-Fi connectivity — ideal for smart monitoring, security, and voice-enabled IoT projects.


The ESP32-S3 AI Camera is an intelligent camera module built around the ESP32-S3 chip, designed for efficient video processing, edge AI tasks and voice interaction. It features a wide-angle infrared camera, along with an onboard microphone and speaker, making it well suited to applications such as electronic peepholes, baby monitors and licence plate recognition.

With built-in AI processing and Wi-Fi connectivity, the module supports edge-based image recognition as well as interaction with online AI models. It integrates easily into IoT systems, making it a practical choice for projects ranging from security and surveillance to smart devices and AI assistants.

Please note: the Gravity interface of V1.1 version has 3.3V output, so please do not connect to the input power supply.

Features

  • Edge AI processing using the ESP32-S3 neural network engine
  • Supports on-device image recognition with platforms including Edge Impulse, YOLOv5 and OpenCV
  • Enables object detection and image classification without relying on the cloud
  • Supports voice-controlled commands through ChatGPT integration
  • Combines local AI processing with cloud-based model interaction for flexible IoT deployments
  • Includes extensive documentation and example code, covering:
  • Camera setup, video streaming and audio recording
  • Image recognition and object classification
  • OpenCV contour detection
  • OpenAI integration for voice and image recognition
  • Custom AI model training with Edge Impulse
  • Integrated microphone and amplifier for:
  • Voice recognition (ASR)
  • Interactive dialogue using ChatGPT
  • Voice-controlled automation and hands-free device management
  • 160° wide-angle infrared camera with infrared illumination
  • Built-in light sensor for automatic adaptation to lighting conditions
  • Suitable for 24/7 monitoring, including low-light and evening use
  • Ideal for baby monitoring, security surveillance and smart home systems
  • Wireless connectivity via Wi-Fi and Bluetooth LE 5
  • Supports remote video access and system control from mobile or connected devices
  • Suitable for real-time monitoring, smart automation and remote surveillance applications
  • Various AI capabilities
    • Edge image recognition (based on EdgeImpulse)
    • Online image recognition (OpenCV, YOLO)
    • Online large models for voice and image (ChatGPT)
  • Equipped with a wide-angle night vision camera, infrared illumination, and all-day usability
  • Onboard microphone and amplifier for voice interaction
  • Offers a variety of AI models, with tutorial support for quick learning

Specifications

  • Operating Voltage: 3.3V
  • Type-C Input Voltage: 5V DC
  • VIN Input Voltage: 3.7-15V DC
  • Operating Temperature: -10~60°C
  • Module Size: 42*42mm
  • OV3660: 160° wide-angle infrared camera
  • IR: Infrared illumination (IO47)
  • MIC: I2S PDM microphone
  • LED: Onboard LED (IO3)
  • ALS: LTR-308 ambient light sensor
  • ESP32-S3: ESP32-S3R8 chip
  • SD: SD card slot
  • Flash: 16MB Flash
  • VIN: 3.7-15V DC input
  • HM6245: Power chip
  • Type-C: USB Type-C interface for power and code uploading
  • Gravity
    • +: 3.3V
    • -: GND
    • 44: IO44/TX
    • 43: IO43/RX
  • RST: Reset button
  • BOOT: BOOT button (IO0)
  • SPK: MX1.25-2P speaker interface
  • MAX98357: I2S amplifier chip
  • Camera Specifications
    • Sensor Model: OV3660
    • Pixels: 3 Megapixels
    • Sensitivity: Visible light, 940nm infrared
    • Field of View: 160°
    • Focal Length (EFL): 0.95
    • Aperture (F/No.): 2.0±5%
    • Distortion: <8%

Resources

Package Contents

  • 1x ESP32-S3 AI CAM development board (with camera)
  • 1x Speaker
  • 1x Gravity-4P I2C/UART sensor connection cable

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