On board 2MP camera OV2640, serial port, 2.0-inch LCD touch screen, programmable RGB lights and other hardware resources, support TF card (32GTF card will be provided for free). Adopt Kendryte K210 chip, with dual-core 64-bit processor, computing power can reach 1TOPS. Support face recognition, mask recognition, QR code recognition, feature detection, number recognition, color recognition, road sign recognition and visual line inspection. All MicroPython codes are open source. K210 Visual Recognition Module Description: Yahboom K210 visual recognition module is an image processing module based on artificial intelligence technology. It possess a dual-core 64-bit processor, computing power up to 1TOPS.It adopts deep learning algorithm, which can efficiently identify various objects and features in the image.The module integrates a serial interface, which can be connected and interacted with various controllers such as STM32, for Raspberry Pico, for Arduino, for Micro-bit and other hardware devices and platforms. K210 module is small in size and low in power consumption, making it suitable for various embedded systems and intelligent hardware products. Users can easily create many creative AI projects by this module. Note:Due to different production batches, there are slight differences in label printing, which does not affect use. Colour:Black Material:Plastic Package Contents: 2 x K210 Visual Recognition Module kit(Standard version, including 32G card) Only the above package content, other products are not included. Note: Light reflection and different displays may cause the color of the item in the picture a little different from the real thing. The measurement allowed error is +/- 1-3cm.