ESP32-S3 N16R8 Cam Development Board WiFi and Bluetooth 5.0 Module

SKU: 1924201682
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Type: ESP32-S3 with OV3660
Price:
Sale price₹ 899.00

₹ 761.86 + 18% GST

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Description

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 (or compatible)
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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