The ESP32-S3-CAM Development Board is a complete, camera-ready IoT platform built around the ESP32-S3-WROOM-1 N16R8 module and paired with the popular OV2640 camera module. Designed for embedded vision, AIoT applications, and wireless monitoring projects, this board combines the processing power of the ESP32-S3 with a dedicated camera interface, USB-C connectivity, and pre-soldered headers for immediate use.
At its core is the ESP32-S3-WROOM-1 N16R8 module, featuring a dual-core Xtensa LX7 32-bit processor running at up to 240 MHz, with 16 MB Flash and 8 MB PSRAM. This generous memory configuration is essential for camera applications, allowing you to buffer high-resolution images, run complex AI models, or stream video without memory constraints. The module supports 2.4GHz WiFi (802.11 b/g/n) and Bluetooth 5 (LE + Mesh), providing versatile wireless options for connected devices.
The included OV2640 camera module is a 2-megapixel CMOS sensor capable of capturing images up to 1600 × 1200 resolution and recording 720p video at 30fps. The OV2640 supports hardware JPEG compression, which significantly reduces bandwidth requirements for streaming and storage — making it ideal for WiFi-based camera projects. The camera connects to the board’s 24-pin DVP interface, which is designed specifically for OV-series camera modules.
The board features a Type-C USB interface for programming and power, with the CH340 USB-to-serial chip handling communication. The CH340 is a mature, widely supported interface solution known for its stability and broad driver availability. It requires a one-time driver installation on most systems, after which it works smoothly with development environments including Arduino IDE, ESP-IDF, and PlatformIO.
The “Soldered” designation means all headers and connectors are pre-soldered and ready to use without any assembly required. Simply connect the camera, plug in a Type-C cable, and start programming.
The ESP32-S3’s AI acceleration capabilities, including vector instructions, make this board well-suited for edge AI applications such as image recognition, voice wake-word detection, and object classification. Development is fully supported through Arduino IDE, ESP-IDF, and MicroPython, with the esp32-camera library providing comprehensive camera control and streaming examples.
Whether you are building a smart doorbell, a remote surveillance system, an AI vision prototype, or an IoT camera device, the ESP32-S3-CAM Development Board provides a powerful, well-supported platform that balances processing performance, memory capacity, and camera readiness.
Features
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ESP32-S3-WROOM-1 N16R8 module — dual-core Xtensa LX7 @ 240 MHz with 16 MB Flash + 8 MB PSRAM.
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OV2640 camera module included — 2MP sensor with hardware JPEG compression for efficient streaming.
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Type-C USB interface — modern reversible connector for power and programming.
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CH340 USB-to-serial chip — stable, widely supported communication with mature drivers.
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24-pin DVP camera interface — designed for OV2640 and compatible OV-series cameras.
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AI acceleration — vector instructions for neural network inference and edge AI applications.
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Wireless connectivity — WiFi 802.11 b/g/n + Bluetooth 5 (LE/Mesh).
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PSRAM for camera buffering — 8 MB PSRAM essential for high-resolution image processing.
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Soldered headers — pre-assembled and ready to use without any soldering required.
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Wide development support — Arduino IDE, ESP-IDF, and MicroPython compatible.
Technical Specifications
| # | Parameter | Specification |
|---|---|---|
| 1 | Module | ESP32-S3-WROOM-1 N16R8 |
| 2 | Processor | Dual-core Xtensa LX7, up to 240 MHz |
| 3 | Memory | 16 MB Flash + 8 MB PSRAM |
| 4 | Camera | OV2640 (2MP, 1600 × 1200, hardware JPEG) |
| 5 | Wireless | WiFi 802.11 b/g/n + Bluetooth 5 (LE/Mesh) |
| 6 | USB Interface | Type-C with CH340 USB-to-serial chip |
| 7 | Camera Interface | 24-pin DVP |
| 8 | Assembly | Soldered headers, ready to use |
