Anonymous
Mar 30, 2026
Rating: 5/5
Best value in its class
Compared to similar NPU boards, the K230 offers unbeatable value. The dual-core architecture allows for efficient task separation between OS handling and AI inference.
Description
Reviews
| Brand | - |
| Category | Robotics / STEM Teaching Tools / Development, Learning, Evaluation & Industrial Control Boards |
| Origin | - |
| Processor | Canaan K230 RISC-V Dual-Core |
| AI Computing Power | 6 TOPS (INT8) |
| Camera Interface | MIPI CSI / DVP Support |
| Memory | 512MB LPDDR4 |
| Storage | MicroSD Card Slot (up to 128GB) |
| Connectivity | Wi-Fi 5, Bluetooth 5.0 |
| Software Support | CanMV, Python, C/C++ |
| Power Supply | 5V via USB Type-C |
| Dimensions | 45mm x 35mm x 12mm |
| Operating Temperature | -20°C to 70°C |
Anonymous
Mar 30, 2026
Rating: 5/5
Best value in its class
Compared to similar NPU boards, the K230 offers unbeatable value. The dual-core architecture allows for efficient task separation between OS handling and AI inference.
Anonymous
Mar 28, 2026
Rating: 4/5
Solid for industrial prototyping
We tested this for a quality control inspection prototype. The inference speed is reliable. The only downside is the heat generation under full load, so a heatsink is recommended.
Anonymous
Mar 25, 2026
Rating: 5/5
Impressive AI performance for the size
The K230 module delivers exactly what it promises. The 6 TOPS computing power handles object detection models smoothly using CanMV. Setup was straightforward with the provided documentation.
Anonymous
Mar 17, 2026
Rating: 4/5
Great board, minor documentation gaps
Hardware is solid and the camera interface works well with standard sensors. I deducted one star because some advanced Python library examples are still sparse, but the community is growing fast.
Anonymous
Mar 11, 2026
Rating: 5/5
Excellent learning tool
As a student diving into RISC-V and AI, this board is a goldmine. The CanMV IDE makes prototyping vision algorithms very accessible without needing deep C++ knowledge initially.
Anonymous
Mar 04, 2026
Rating: 5/5
Perfect for edge AI projects
I used this for a small autonomous rover project. The latency is incredibly low compared to other boards in this price range. Wi-Fi connectivity is stable for streaming video feeds.
Q: Can I power this board via a battery?
A: Absolutely. You can connect a Li-Po battery through a dedicated PH2.0 connector or supply 5V directly via the VIN pin, ensuring the voltage stays within the 4.75V-5.25V range.
Q: Is there a GPIO header available for connecting external sensors?
A: Yes, the board includes a 24-pin GPIO header that exposes UART, I2C, SPI, and PWM pins for interfacing with external hardware.
Q: What is the maximum resolution supported by the camera interface?
A: The MIPI CSI interface supports up to 8MP resolution at 30fps, depending on the specific sensor module connected.
Q: How do I update the firmware on the K230?
A: Firmware updates can be performed via the USB Type-C port using the kflash.py tool included in the CanMV software suite. Detailed steps are in the wiki.
Q: Does this board support running YOLOv5 models?
A: Yes, the K230 supports YOLOv5 and other common object detection models when converted to the appropriate format for the K230 NPU using the provided tools.
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