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, Raspberry Pico, Arduino, 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.
Features
1) 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).
2) Adopt Kendryte K210 chip, with dual-core 64-bit processor, computing power can reach 1TOPS.
3) Support face recognition, mask recognition, QR code recognition, feature detection, number recognition, color recognition, road sign recognition and visual line inspection.
4) All MicroPython codes are open source, and we will provide 40+ detailed tutorials for users' reference.
5) Three brackets with different heights for choice, users can fix module on different robots or smart cars.
Shipping List
Tutorials
Shipping and delivery Information
Payment & Security
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Customer Reviews
From the moment I opened the packaging, I could feel its delicacy and professionalism.
The packaging is very careful, the box and the module are well protected, ensuring the safety of the module during transportation. There is no damage when opening the package.
The quality of the module is very good, and the assembly is also smooth. I was able to quickly complete the basic tasks. Highly recommended to anyone who wants AI visual recognition technology
Great deal! Great price. Perfect for my DIY projects.
I have purchased the K210 visual module for my autonomous robot project, and its real-time image processing capabilities have left a deep impression on me. I can trust it for obstacle detection and path planning.
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