K210 Vision Camera Module for Arduino, Raspberry Pi, Jetson Nano

Based on the K210 Chip, High-Performance Camera Module: Built on the Kendryte K210 AI chip, this camera module features a 64-bit RISC-V kernel processor and a 1TOPS high-performance computing chip. It ensures stable and smooth neural network operations, supporting AI image recognition and complex computing tasks efficiently.

Multi-Functional AI Vision Camera: Equipped with the WonderMV open source vision module, this camera module supports a wide range of features including color recognition, road sign recognition, vision line following, face recognition, tag recognition, QR code and barcode recognition, feature detection, number recognition, and more.

LCD Capacitive Touch Screen & I2C Port: This module is designed with a 2-inch LCD capacitive touch screen, providing a clear display resolution of 320x240 and a 2-megapixel camera. It facilitates swift debugging and control. Additionally, it integrates a serial port and an I2C port, enabling easy connectivity with various sensors to expand functionality.

Open-Source Code: The program code of the WonderMV vision module is fully open-source, making it easier for users to develop and customize their vision-based application programs. We provide extensive development materials and tutorials to help users learn and build their own AI projects.

Multi-Controller Compatibility: Equipped with serial and I2C interfaces, the WonderMV vision module can seamlessly connect with a wide range of controllers, including Arduino, Raspberry Pi, Micro, STM32, and more. You can easily output visual recognition results to external controllers via the serial port without diving into complex vision algorithms, making it easy to create innovative AI projects.

Diverse Application Scenarios: The WonderMV vision module is versatile and can be used in various applications such as electronics project development, educational experiments, robotics extensions and competitions, or personal DIY projects. It is also applicable in smart homes and industrial automation, providing users with more possibilities for innovation. Note: it is not suitable for users with no programming background.