
DFRobot ESP32-S3 AI Camera
ESP32-S3 AI camera module with 2MP wide-angle night vision sensor, I2S speaker and microphone, ambient light sensor, WiFi/BLE 5.0, and edge AI inference support in a 42x42mm package.
$18.90
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Specifications
Components
Espressif ESP32-S3R8 with dual-core Xtensa LX7 at 240MHz, 8MB PSRAM, 16MB flash, WiFi 802.11 b/g/n, BLE 5.0, and AI vector extensions.
OmniVision OV3660 2MP CMOS image sensor with 160-degree FOV, F/2.0 aperture, and 940nm infrared sensitivity for day/night vision.
Analog Devices MAX98357A I2S digital input Class-D mono amplifier for speaker output, no external MCLK required.
Lite-On LTR-308 I2C ambient light sensor for automatic IR illumination control based on ambient light levels.
Bus Interfaces
GPIO Map
Overview
The DFRobot ESP32-S3 AI Camera is a compact all-in-one AI vision module built around the ESP32-S3R8 dual-core processor with 16MB flash and 8MB PSRAM. It integrates a 2MP OV3660 camera with 160-degree wide-angle lens and 940nm infrared illumination for day and night vision, an I2S microphone for voice input, and a MAX98357 I2S audio amplifier with speaker output for bidirectional audio communication.
The module supports edge-based image recognition through platforms like Edge Impulse, YOLOv5, and OpenCV, enabling on-device AI inference without cloud dependency. It also integrates with OpenAI's ChatGPT for voice-controlled interactions and real-time Q&A about captured images. An onboard LTR-308 ambient light sensor enables automatic IR illumination switching.
With WiFi and BLE 5.0 connectivity, a Gravity I2C/UART expansion port, microSD card slot, and flexible power input (5V USB-C or 3.7-15V VIN), the ESP32-S3 AI Camera targets applications including smart doorbells, baby monitors, license plate recognition, AI robot companions, and security surveillance systems.
Use Cases
6Security Camera
WiFi-connected camera for surveillance, motion detection, and remote video monitoring.
Baby Monitor
Build a smart baby monitor with camera, night vision, audio, and WiFi streaming for remote parental monitoring.
Computer Vision
Image recognition, object detection, and ML inference using embedded cameras and AI-capable processors.
License Plate Recognition
Automated license plate recognition using edge AI camera modules with onboard neural network inference.
Voice Assistant
Offline and cloud-connected voice assistant, wake-word detection, and speech recognition projects.
Edge AI
On-device machine learning inference at the edge, without cloud dependency
Resources
Where to Buy
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