DIYables ESP32-S3 WROOM N16R8 CAM Development Board OV5640 3MP Camera WiFi Bluetooth 5 Dual Type-C 16MB Flash 8MB PSRAM for Arduino IDE, Presoldered
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Quick Overview
The DIYables ESP32-S3 WROOM N16R8 CAM Development Board combines the powerful ESP32-S3-WROOM-1 module with a 3MP OV5640 camera for AI vision, video streaming, and image processing applications. Built on the Xtensa 32-bit LX7 dual-core processor, it delivers high-performance computing with optimized low power consumption. The board ships fully presoldered — headers and camera module attached — for immediate prototyping without any soldering.
With 16MB of onboard Flash and 8MB of PSRAM, the board handles large firmware, image buffers, and complex AI inference tasks with ease. Dual Type-C interfaces support both power input and native USB communication. Wireless connectivity includes WiFi 802.11 b/g/n and Bluetooth 5 with BLE and Mesh support, with up to 20 dBm high-power mode for robust range in demanding environments.
Ideal for AI vision projects, smart surveillance systems, face recognition, real-time video streaming, robotics with camera feedback, IoT edge computing, and advanced embedded development using Arduino IDE, MicroPython, or ESP-IDF.
Key Features
- Presoldered Ready to Use — Fully assembled with presoldered pin headers and OV5640 camera module for immediate prototyping without any additional soldering
- Dual-Core LX7 Processor — Xtensa 32-bit LX7 dual-core processor delivers high-performance computing with optimized low-power modes for AI and IoT applications
- OV5640 3MP Camera — Built-in 3 megapixel OV5640 camera module supports clear still image capture and real-time video streaming for vision-based projects
- 16MB Flash and 8MB PSRAM — Large onboard memory enables complex firmware, large image buffers, AI model storage, and advanced embedded application development
- WiFi and Bluetooth 5 — Supports 802.11 b/g/n WiFi and Bluetooth 5 with BLE and Mesh, up to 20 dBm high-power mode for reliable long-range wireless connectivity
- Dual Type-C Interface — Two USB Type-C ports for power input and native USB communication enabling flexible programming and power supply options
- AI and Vision Ready — Optimized hardware for face recognition, object detection, smart surveillance, and edge AI inference applications
- Arduino IDE, MicroPython, ESP-IDF — Fully compatible with all major ESP32 development environments for fast project development
- Versatile Applications — Suitable for AI vision, smart surveillance, face recognition, video streaming, robotics camera feedback, and IoT edge computing
SPECIFICATION
| Specification | Value |
|---|---|
| Product Type | ESP32-S3 CAM Development Board |
| Module | ESP32-S3-WROOM-1 (N16R8) |
| Processor | Xtensa 32-bit LX7 dual-core, up to 240MHz |
| Flash Memory | 16MB |
| PSRAM | 8MB |
| Camera Module | OV5640 (3 Megapixel) |
| WiFi | 802.11 b/g/n |
| Bluetooth | Bluetooth 5 (BLE + Mesh) |
| Max TX Power | 20 dBm |
| USB Interface | Dual Type-C |
| Assembly Status | Presoldered (headers + camera) |
| Development Environment | Arduino IDE, MicroPython, ESP-IDF |
| Compatibility | Arduino IDE, MicroPython, ESP-IDF, Home Assistant |
| Applications | AI vision, face recognition, smart surveillance, video streaming, robotics, IoT edge computing |
COMPATIBLE HARDWARE
- Arduino IDE with ESP32 board package — firmware upload via Type-C USB
- MicroPython for ESP32-S3 — camera and WiFi scripting
- ESP-IDF — native ESP32-S3 development framework
- OV5640 camera accessories and lens modules — camera interface connector
- WiFi routers and MQTT brokers — 802.11 b/g/n wireless connectivity
- Bluetooth 5 / BLE devices — BLE and Mesh communication
- USB Type-C power adapters and hubs — dual Type-C power and data
- Sensors with I2C, SPI, UART, or GPIO interface — 3.3V logic GPIO pins
