Description
Reviews
| Brand | - |
| Category | Robotics / STEM Teaching Tools / Development, Learning, Evaluation & Industrial Control Boards |
| Origin | - |
| Processor | Kendryte K210 RISC-V 64-bit Dual-Core |
| Main Frequency | 400MHz (Overclockable to 500MHz) |
| RAM | 8MB SRAM On-chip |
| Flash Storage | 16MB SPI Flash |
| Camera Interface | DVP Interface supporting up to 5MP |
| Audio Support | I2S, I2C, SPI for microphone and speaker |
| Connectivity | USB Type-C for Power and Data Transfer |
| Programming Language | MicroPython, C/C++ SDK |
| AI Capabilities | Face Detection, Object Recognition, Audio Classification |
| Dimensions | 54mm x 23mm x 12mm |
Anonymous
Mar 30, 2026
Rating: 4/5
Great hardware, documentation could be better
The K210 chip itself is powerful and handles neural networks surprisingly well. However, finding specific examples for some of the peripheral sensors took some digging in GitHub repositories. Once set up, it works flawlessly.
Anonymous
Mar 28, 2026
Rating: 5/5
Best value RISC-V board
Coming from ARM-based boards, the transition to RISC-V was smooth thanks to the community support. The built-in AI accelerator is a game changer for local processing where cloud connectivity isn't an option.
Anonymous
Mar 18, 2026
Rating: 4/5
Fun introduction to Deep Learning
I am new to embedded systems and this kit made it easy to start. The pre-loaded examples for face recognition are fun to play with. Would give 5 stars if the USB cable included was a bit longer.
Anonymous
Mar 16, 2026
Rating: 3/5
Good but runs hot under load
Functionality is great for AI tasks, but I noticed the chip gets quite warm when running continuous video processing at max frequency. I added a small heatsink which solved the issue. Just something to keep in mind for enclosed projects.
Anonymous
Mar 11, 2026
Rating: 5/5
Perfect for learning Edge AI
This board is incredible for the price. I was able to run a face detection model within an hour of unboxing. The MicroPython support makes it very accessible for beginners who don't want to deal with complex C++ setups immediately.
Anonymous
Mar 02, 2026
Rating: 5/5
Ideal for student projects
We bought ten of these for our university robotics club. Students love that they can use Python to implement computer vision without needing a heavy Raspberry Pi. Battery life is also decent when optimized.
Q: Does this support WiFi connectivity out of the box?
A: No, the K210 chip does not have integrated WiFi. However, you can connect external WiFi modules via the UART or SPI interfaces available on the GPIO pins.
Q: Can I power this board using a standard phone charger?
A: Yes, the board features a USB Type-C port and operates on 5V. Any standard USB phone charger or power bank with a Type-C cable will work perfectly.
Q: Does this board come with a camera module included?
A: No, this package includes only the K210 development board. You will need to purchase a compatible DVP camera module separately, such as the OV2640 or OV5640.
Q: What IDE do you recommend for programming this board?
A: For MicroPython, we recommend Thonny IDE or VS Code with the Pyright extension. For C/C++ development, the Kendryte Standalone SDK works best with VS Code or Eclipse.
Q: Is it possible to deploy TensorFlow Lite models directly?
A: The K210 uses its own neural network compiler (nncase) to convert models. You cannot run standard TensorFlow Lite files directly; you must train your model in TensorFlow or PyTorch and then convert it to the K210 format using the provided tools.
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