- AI visual recognition,Performance can reach 13.7 times that of K210
- 6TOPS equivalent computing power
- High precision, fast startup, ultra-low power consumption
- Developed based on RT-Smart real-time operating system
- AloT chip based on RISC-V architecture
Yahboom K230 vision module is a high-performance, low-power embedded AI vision processing module designed for edge computing scenarios. It is designed based on the end-side AloT chip of the RISC-V architecture, with 6TOPS equivalent computing power and 1GB RAM. It can be connected to a variety of main controllers such as STM32, MSPM0, ESP32, Raspberry Pi, etc. through serial communication. Equipped with a powerful neural network acceleration engine, it supports AI vision tasks such as real-time image recognition, target detection, face recognition, and behavior analysis. It can be widely used in smart homes, maker education, programming robots, electronic design competitions and other occasions.
1.On board 2MP camera(GC2093), 2.4-inch touch screen, microphone, RGB light, WiFi network card and other hardware resources, support TF card (32G TF card will be provided for free).
2.Adopting Kendryte K230 chip, 1GB RAN, equivalent computing power can reach 6TOPS.
3.Pre-installed GUI program, integrated with 30+ functions (human posture recognition, object recognition, image detection, road sign recognition, label code recognition light), users can quickly experience.
4.Provide version host computer software on Windows, support RTSP real-time video stream monitoring, and integrate video/image processing tools, data generator, text tools and other content.
5.Three different height brackets and 2DOF electric PTZ are available, users can fix the module on some robots or smart cars.
