Anonymous
Mar 30, 2026
Rating: 5/5
Impressed by the KPU Speed
Running YOLO models on this tiny board is a game changer. The thermal management is good even under heavy load. Definitely buying more for production prototypes.
Description
Reviews
| Brand | - |
| Category | Robotics / STEM Teaching Tools / Development, Learning, Evaluation & Industrial Control Boards |
| Origin | - |
| Processor | Kendryte K230 RISC-V Dual-Core |
| AI Accelerator | Integrated KPU for Vision Tasks |
| Camera Interface | MIPI CSI 4-Lane Support |
| Memory | 512MB LPDDR4 RAM |
| Storage | MicroSD Card Slot (up to 128GB) |
| Connectivity | USB Type-C, Gigabit Ethernet |
| Display Output | HDMI 1.4 up to 1080p |
| Programming Language | Python (CanMV Framework), C/C++ |
| Power Supply | 5V DC via USB-C |
| Dimensions | 65mm x 55mm x 12mm |
Anonymous
Mar 30, 2026
Rating: 5/5
Impressed by the KPU Speed
Running YOLO models on this tiny board is a game changer. The thermal management is good even under heavy load. Definitely buying more for production prototypes.
Anonymous
Mar 28, 2026
Rating: 4/5
Solid Choice for Workshops
We bought ten of these for our AI workshop. They are robust and the USB-C power delivery is convenient. One unit had a loose SD slot, but support replaced it quickly.
Anonymous
Mar 26, 2026
Rating: 5/5
Perfect for Computer Vision Projects
The K230 board is incredibly fast for object detection tasks. The CanMV framework made it easy to port my Python scripts from desktop to the board. Highly recommended for students and hobbyists.
Anonymous
Mar 23, 2026
Rating: 5/5
Best Value RISC-V AI Board
I used this for a line-following robot with facial recognition. The latency is low enough for real-time control. The camera interface is very flexible.
Anonymous
Mar 16, 2026
Rating: 4/5
Great Performance, Steep Learning Curve
Hardware is solid and the AI inference speed is impressive. However, documentation could be more detailed for beginners. Once you get past the setup, it works flawlessly.
Anonymous
Mar 10, 2026
Rating: 5/5
Excellent Community Support
Had a few questions about GPIO pinout, but the community forums were very helpful. The board handles multiple neural networks simultaneously without lag.
Q: Can I power this board using a standard phone charger?
A: Yes, any USB-C charger providing 5V/2A or higher will work perfectly. We recommend using a high-quality cable to ensure stable power delivery during AI processing.
Q: What is the maximum resolution supported by the camera interface?
A: The MIPI CSI interface supports cameras up to 8MP resolution, though performance depends on the specific model and frame rate settings you choose.
Q: Does this board support TensorFlow Lite models directly?
A: The K230 primarily uses the CanMV framework which supports ONNX models converted to its proprietary format. Direct TFLite support is limited, but conversion tools are available in the SDK.
Q: Is there an onboard WiFi module included?
A: No, this specific version does not have onboard WiFi. You can connect a USB WiFi dongle or use the Ethernet port for network connectivity.
Q: How do I update the firmware on the K230?
A: Firmware updates are performed via the USB-C port using the Kendryte Flash Tool. Detailed step-by-step guides are available in the 'Documentation' section of our website.