DFRobot ESP32-S3 AI Camera utilizes the powerful neural network capabilities of the ESP32-S3 chip for edge-based image recognition with platforms like Edge Impulse, YOLOv5, and OpenCV. It supports efficient on-device processing for tasks such as object detection and image classification, while integration with ChatGPT enables voice-controlled command execution. This combination of local AI processing and cloud-based model access makes the module ideal for a wide range of IoT applications. To ensure easy integration, the ESP32-S3 AI CAM comes with extensive tutorials, documentation, and sample code: Basic Tutorials: Camera setup, video transmission, and audio recording. Advanced Tutorials: Image recognition, Object classification, and OpenCV contour detection. Example Code: Integration with OpenAI for voice/image recognition and custom model training with EdgeImpulse. Integrated Voice Interaction for Enhanced Usability The onboard microphone and amplifier support voice recognition (ASR) and interactive dialogue powered by ChatGPT, enabling intuitive voice commands and real-time interaction. This integration allows for smart automation in IoT devices, simplifying control and enhancing user experience. With voice recognition capabilities, the ESP32-S3 AI CAM opens up possibilities for voice-activated smart assistants, AI-controlled surveillance, and hands-free device management. Night Vision for All-Day Monitoring Equipped with a 160° wide-angle infrared camera and infrared illumination, the ESP32-S3 AI CAM ensures exceptional image quality even in low-light or complete darkness. The module’s light sensor further enhances adaptability, making it an ideal choice for 24/7 monitoring in applications like baby monitoring, security surveillance, and smart home systems. Its ability to perform in all weather and lighting conditions makes it a reliable solution for around-the-clock surveillance. Wireless Transmission Support: Wi-Fi & BLE 5 The ESP32-S3 AI Camera Module is equipped with Wi-Fi and BLE 5 connectivity, enabling seamless remote monitoring from your mobile devices or other connected equipment. Whether you're at home or on the go, you can easily access live video feeds and manage your monitoring system remotely. This wireless transmission capability expands the flexibility of the module, making it an ideal solution for applications requiring real-time surveillance and control, such as home security and smart automation. Features 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 Applications Electronic peepholes License plate recognition AI Robot Toy Smart Glasses Specification Basic Parameters Category Specification Operating Voltage 3.3V Type-C Input Voltage 5V DC VIN Input Voltage 5-12V DC Operating Temperature -10~60°C Module Size 42 x 42 mm 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 5-12V DC input HM6245 Power chip Type-C USB Type-C interface for power and code uploading Gravity +: 3.3-5V -: GND 44: IO44/TX RST Reset button BOOT BOOT button (IO0) SPK MX1.25-2P speaker interface MAX98357 I2S amplifier chip Camera Specifications Category Specification Sensor Model OV3660 Pixels 2 Megapixels Sensitivity Visible light, 940nm infrared Field of View 160° Focal Length (EFL) 0.95 Aperture (F/No.) 2.0±5% Distortion ＜8% Shipping List ESP32-S3 AI CAM development board (with camera) x1 Speaker x1 Gravity-4P I2C/UART sensor connection cable x1 Documents Product Wiki OpenAI Image Q&A Demo Code OpenAI Real-Time Communication (RTC) Demo for ESP-IDF (GitHub Repository)
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