Attributes

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

6 reviews

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.

5 FAQ

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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