Electronic Components
ESP32-S3 N16R8 Cam Development Board WiFi and Bluetooth 5.0 Module
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ESP32 S3 N16R8 Development Board with/Without Camera Interface for AI and IoT Projects
Note: this module comes with soldered and unsoldered headers. We ship it randomly.
The ESP32 S3 N16R8 Development Board is a high-performance dual-core WiFi and Bluetooth 5.0 microcontroller board with an onboard camera interface, making it perfect for AI vision, image processing, and IoT applications.
Powered by the ESP32 S3 chip with 16MB flash and 8MB PSRAM, this board is designed for complex applications such as face recognition, object tracking, and edge computing. It includes dual USB Type-C ports and two 20-pin male headers for easy prototyping and connection with sensors or external modules.
Fully compatible with Arduino IDE, ESP IDF, and MicroPython, it provides flexible development options for hobbyists, engineers, and developers working on smart home, robotics, and automation systems.
Features:
- ESP32 S3 cam dual-core 32-bit processor
- Built-in WiFi and Bluetooth 5.0 LE connectivity
- Camera interface for image capture and processing
- Supports Arduino IDE, MicroPython, and ESP IDF
- 20-pin male headers included for soldering and prototyping
- Dual USB Type C ports for power and programming
- Compact design suitable for embedded and IoT projects
- Integrated AI and ML capabilities
Technical Specifications:
| Specification | Details |
| Microcontroller | ESP32 S3 |
| CPU | Dual-Core Xtensa LX7 microprocessor and clock speed up to 240MHz |
| Flash Memory | 8MB |
| PSRAM | 8MB |
| Connectivity | WiFi 802.11/b/g/n and Bluetooth 5.0 BLE |
| Camera Support | OV3660, RHYX-M21-45, OV2640 or compatible. Choose from variants |
| GPIO Pins | 45 |
| Operating Voltage | 3.3V |
| External Power Supply | 5V via USB Type C |
| USB Ports | Dual USB Type C |
| Programming | Arduino IDE, MicroPython, ESP IDF |
| Dimensions | 51m x 29mm |
| Included Accessories | 2 x 20 Pin Male Header Strips |
Applications:
- AI and ML-based IoT devices
- Smart home automation systems
- Image recognition and face detection projects
- Robotics and autonomous vehicles
- Wireless sensor networks
- DIY electronics and embedded systems
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