K210 Vision Camera Module for Arduino Raspberry Pi Jetson Nano ESP32, Touch Control Smart AI USB Camera Open Source Robot Maker Python Development Board CanMV Sensor - WonderMV
$59.99
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$59.99
Price when purchased online
Free shipping
Free 30-day returns
Sold and shipped by golanhomecare.com
Free 30-day returns Details
Product details
| Management number | 212361828 | Release Date | 2026/04/06 | List Price | $24.00 | Model Number | 212361828 | ||
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- 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.
- 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.
- Open-Source Code: The program code of WonderMV vision module is fully open-source. This makes 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: WonderMV vision module is equipped with serial and IIC interfaces, allowing seamless connection with a wide range of controllers, including Arduino, Raspberry Pi, Micro , STM32, and more. You can easily output visual recognition results to external controller via the serial port without diving into complex vision algorithms, making it easy to create innovative AI projects.
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