【Compatible with Various Controllers】WonderMV's I2C connector seamlessly integrates with various controllers, including Arduino, Raspberry Pi, Micro:bit, STM32, Jetson Nano B01, etc. You can easily output vision recognition results to an external controller through the serial port, without the need to delve into complex vision algorithms, making it easy to create creative AI projects.
【Based on 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 handling complex computing tasks with efficiency.
【Multi-Functional AI Vision Camera】WonderMV open source vision module is built on the K210 chip, boasting features such as color recognition, road sign recognition, vision line following, face recognition, tag recognition, QR code & barcode recognition, feature detection, number recognition, and more.
【One-click Training & Support Firmware Upgrade】WonderMV supports firmware upgrades, programming with MicroPython, and CanMV IDE Development. To facilitate a quick start for users, WonderMV vision module includes open-source code, detailed tutorials, and supports secondary development for AI enthusiasts.
【LCD Capacitive Touch Screen & I2C Port】Featuring a 2 inch LCD capacitive touch screen with a clear display resolution of 320*240 and 2 megapixel camera, WonderMV vision module facilitates swift debugging and control. Integrates a serial port and an I2C port, allowing WonderMV for easy connectivity with various sensors to expand functionality.
