Product Description

The ESP32-S3-N16R8 Development Board with OV2640 Camera is a high-performance dual-core microcontroller development platform designed for AI vision, image processing, IoT, robotics, automation, and embedded applications. Powered by the ESP32-S3, the board combines powerful processing capabilities with built-in Wi-Fi and Bluetooth 5.0 BLE connectivity, making it suitable for connected and intelligent embedded projects.

The board features 8MB Flash memory and 8MB PSRAM, providing sufficient memory resources for image processing, AI models, wireless communication, and edge-computing applications. Its dual-core Xtensa LX7 processor can operate at speeds of up to 240MHz, enabling it to handle demanding applications such as face detection, object recognition, image processing, and smart automation.

An integrated camera interface is provided for image capture and processing, and this product includes an OV2640 camera. The board provides 45 GPIO pins, allowing connection to sensors, displays, motors, actuators, communication modules, and other peripherals.

With dual USB Type-C ports, two 20-pin male header strips, and compatibility with Arduino IDE, ESP-IDF, and MicroPython, the ESP32-S3-N16R8 provides a flexible platform for beginners, hobbyists, students, engineers, and professional developers.

Features

• ESP32-S3 dual-core 32-bit microcontroller
• Dual-core Xtensa LX7 processor
• CPU frequency up to 240MHz
• 8MB Flash memory
• 8MB PSRAM
• Built-in Wi-Fi 802.11 b/g/n
• Built-in Bluetooth 5.0 BLE
• Integrated camera interface
• OV2640 camera included
• Suitable for AI and machine-learning applications
• Supports edge-computing applications
• Compatible with Arduino IDE
• Compatible with ESP-IDF
• Supports MicroPython
• 45 GPIO pins
• Dual USB Type-C ports
• 3.3V operating logic
• 5V external power through USB Type-C
• Compact development board design
• Two 20-pin male header strips
• Suitable for robotics and automation projects
• Ideal for computer-vision applications

Specifications

Design and Construction

The ESP32-S3-N16R8 features a compact development-board design integrating the ESP32-S3 microcontroller, Flash memory, PSRAM, wireless connectivity, USB interfaces, GPIO connections, and camera support into a single platform.

The 8MB Flash and 8MB PSRAM provide additional memory resources for larger programs, image buffers, AI models, and memory-intensive applications. This makes the board particularly useful for computer-vision and edge-AI projects.

The board provides 45 GPIO pins for connecting external sensors, displays, motors, relays, LEDs, communication modules, and other peripherals. The included 20-pin male header strips provide convenient access to the board’s connections after soldering.

Two USB Type-C ports provide convenient connectivity for programming, power, communication, and development depending on the board configuration.

Camera Interface

The board includes a dedicated camera interface and is supplied with an OV2640 camera.

The OV2640 enables the ESP32-S3 to capture image data for processing and AI-based vision applications. Depending on the firmware and software implementation, the camera can be used for:

• Face detection
• Face recognition
• Object detection
• Object tracking
• Image classification
• Image capture
• Visual monitoring
• AI vision
• Smart surveillance
• Computer-vision experiments

The combination of the ESP32-S3, 8MB PSRAM, and OV2640 camera provides a suitable platform for compact camera-based embedded and AI projects.

Working Principle

The ESP32-S3 acts as the main processing controller of the development board. Firmware is stored in Flash memory, while PSRAM can be used for temporary data, image buffers, and memory-intensive processing.

For wireless applications, the integrated Wi-Fi and Bluetooth 5.0 BLE allow the board to communicate with networks, smartphones, computers, IoT devices, and other compatible systems.

When the OV2640 camera is connected, the board can capture image data through its camera interface. The ESP32-S3 can then perform suitable image-processing, AI, or machine-learning operations directly on the device, enabling edge-computing applications.

The GPIO pins allow the board to interact with external hardware such as sensors, motors, LEDs, displays, relays, and actuators.

Programming and Development

The board supports several development environments:

Arduino IDE

Suitable for beginners, hobbyists, students, and rapid prototyping.

ESP-IDF

The official Espressif development framework, suitable for advanced ESP32-S3 development and more complex applications.

MicroPython

Provides Python-based development for supported embedded applications and rapid experimentation.

AI and Vision Applications

The combination of the ESP32-S3 processor, PSRAM, and OV2640 camera makes the board suitable for embedded vision projects such as:

• Face detection
• Object recognition
• Image processing
• Image classification
• Smart cameras
• Visual monitoring
• AI-enabled IoT
• Edge-AI experiments
• Robotics vision
• Intelligent automation

Actual AI performance depends on the selected model, firmware, software libraries, image resolution, and available memory.

Applications

• AI and machine-learning projects
• Computer vision
• Face detection and recognition
• Object detection
• Object tracking
• Image processing
• Edge-AI applications
• Smart home automation
• IoT devices
• Wireless sensor systems
• Robotics projects
• Autonomous robotics
• Smart surveillance
• Camera-based monitoring
• Industrial automation
• Embedded vision systems
• DIY electronics
• ESP32 development
• Bluetooth IoT applications
• Wi-Fi-enabled devices
• Smart control systems
• Educational AI projects
• Prototype development

Package Includes

• 1 × ESP32-S3-N16R8 Development Board
• 1 × OV2640 Camera
• 2 × 20-Pin Male Header Strips

Product Disclaimer

• The package includes an OV2640 camera, not an RHYX-M21-45 camera.
• USB cables, sensors, displays, motors, batteries, and other components are not included unless specifically mentioned in the package contents.
• Camera performance depends on the firmware, drivers, software libraries, image resolution, and application.
• AI and machine-learning capabilities depend on the model and software being used.
• Verify the required voltage and pin configuration before connecting external hardware.
• Product images are for illustrative purposes. Actual PCB markings, component placement, colour, and appearance may vary slightly between production batches.