Waveshare ESP32-S3 AIoT Camera Dev Board w/ OV5640 Camera
The Waveshare ESP32-S3 AIoT Camera Development Board integrates an ESP32-S3 dual-core processor with an OV5640 camera module for embedded computer vision. It supports 2.4GHz Wi-Fi and Bluetooth LE for wireless IoT applications and is programmable via ESP-IDF or Arduino IDE for AI vision and audio projects.
Features
- ESP32-S3 Dual-Core AIoT Platform: Features the ESP32-S3R8 with dual-core Xtensa LX7 processors clocked up to 240MHz, 8MB PSRAM, and 16MB Flash for handling on-device image processing and lightweight AI models.
- Integrated OV5640 Camera Sensor: Provides a 5MP (2592×1944) camera with a 4.1mm lens (68° DFOV, f/2.8) for high-quality image capture and video streaming in smart vision applications.
- Dual Wireless Connectivity: Combines 2.4GHz Wi-Fi 4 and Bluetooth 5 LE for robust wireless data transfer, remote control, and integration with cloud platforms or mobile apps.
- Audio I/O for Voice Interaction: Includes a dual-microphone array with echo cancellation and a speaker interface, enabling voice control and audio feedback in interactive IoT projects.
- Comprehensive Development Support: Fully compatible with Espressif’s ESP-IDF, Arduino core, and ESP-WHO frameworks for streamlined development of edge AI, computer vision, and speech recognition applications.
Out of stock
The Waveshare ESP32-S3 AIoT Camera Development Board is a compact, feature-rich platform designed for developers building smart camera and voice-interactive IoT devices. At its core is the Espressif ESP32-S3 dual-core microcontroller, which delivers the processing muscle needed for real-time image capture, on-edge AI inference, and wireless communication protocols.
The board directly interfaces with a high-resolution OV5640 camera sensor via a 24-pin DVP parallel port, providing a dedicated pathway for fast image data transfer. This, combined with the integrated 8MB PSRAM, allows for buffering and processing of frames for tasks like object detection or facial recognition without external memory. The addition of a dual-microphone array and speaker amplifier circuit opens the door for projects requiring audio analysis, voice commands, or two-way audio communication.
Power management is designed for flexibility, supporting operation via a USB-C port or an onboard 3.7V lithium battery charging circuit, making it suitable for portable and battery-powered vision applications. The extensive GPIO breakout provides interfaces for SPI/QSPI displays, UART, I2C, and touch sensors, enabling expansion and integration with other peripherals in a complete IoT system.
Additional Information
| Weight | 0.12 kg |
|---|---|
| Dimensions | 10 × 12 × 2 cm |
