The ESP32-S3 AI Camera is a cutting-edge intelligent camera module built around the high-performance ESP32-S3 chip, designed for efficient video processing, edge AI, and voice interaction. Featuring a wide-angle infrared camera, onboard microphone, and speaker, it is ideally suited for applications such as electronic peepholes, baby monitors, and license plate recognition. With powerful AI processing capabilities, it integrates seamlessly into IoT ecosystems, supporting edge image recognition and online AI model interaction through Wi-Fi connectivity, making it an essential component for IoT applications, from security surveillance to AI assistants.
Intelligent AI Processing and Edge Computing
The ESP32-S3 AI CAM 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 theflexibility 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
- Operating Voltage: 3.3V
- Type-C Input Voltage: 5V DC
- VIN Input Voltage: 5-12V DC
- Operating Temperature: -10~60°C
- Module Size: 42*42mm
Functional Indicators
- 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
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: 2 Megapixels
- Sensitivity: Visible light, 940nm infrared
- Field of View: 160°
- Focal Length (EFL): 0.95
- Aperture (F/No.): 2.0±5%
- Distortion: 8%
Documents:
- Product Wiki
- Tutorial - HomeAssistant Integration
- OpenAI Image Q&A Demo Code
- OpenAI Real-Time Communication (RTC) Demo for ESP-IDF (GitHub Repository)
- Edge Impulse Object Detection Demo Code
- OpenCV Image Processing Demo Code
- YOLOv5 Object Detection Demo Code
- Schematic
- Dimension Drawing
- OV3660 Specifications
- OV3660 Datasheet
Product Includes:
- ESP32-S3 AI CAM development board (with camera) x1
- Speaker x1
- Gravity-4P I2C/UART sensor connection cable x1
Shipping rates Australia wide and New Zealand
FAQ:
- How do I estimate shipping for my order?
- Add products in the shopping cart and head to the checkout page to estimate the shipping.
Dispatch time
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