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 Large Models |
| Camera Interface | MIPI CSI supporting up to 8MP |
| Memory | 1GB LPDDR4 RAM |
| Storage | MicroSD Card Slot (up to 128GB) |
| Connectivity | Wi-Fi 6 and Bluetooth 5.2 |
| Software Framework | CanMV Python IDE Compatible |
| I/O Interfaces | GPIO, I2C, SPI, UART, PWM |
| Power Supply | USB Type-C 5V Input |
| Dimensions | 65mm x 45mm x 12mm |
Anonymous
Mar 28, 2026
Rating: 5/5
Seamless CanMV experience
Porting my scripts from the older K210 was straightforward. The added memory and processing power make a huge difference for complex neural networks.
Anonymous
Mar 23, 2026
Rating: 4/5
Solid hardware, warm under load
The board performs exactly as advertised. Just note that it gets a bit warm when running continuous heavy AI inference, so a small heatsink or fan is advisable for long-term deployment.
Anonymous
Mar 15, 2026
Rating: 4/5
Great performance, documentation needs work
Hardware is solid and the inference speed on large models is impressive for this price point. However, some of the English documentation for advanced GPIO configurations could be more detailed.
Anonymous
Mar 11, 2026
Rating: 5/5
Perfect for learning RISC-V AI
Bought this for my university project. It runs face recognition smoothly and the Wi-Fi module allows for easy IoT integration. Highly recommended for students.
Anonymous
Mar 06, 2026
Rating: 5/5
Excellent board for AI vision projects
The K230 chip handles object detection models surprisingly well. The CanMV environment makes it very easy to prototype computer vision applications without deep C++ knowledge.
Anonymous
Mar 06, 2026
Rating: 5/5
Best value in its class
Compared to other development boards, the K230 offers superior AI acceleration capabilities. The camera interface is robust and supports high-resolution streams with low latency.
Q: What is the maximum resolution supported by the camera interface?
A: The MIPI CSI interface supports cameras up to 8 megapixels. It works seamlessly with standard OV series sensors commonly used in embedded vision projects.
Q: Can I program this using C++ instead of Python?
A: Yes, while CanMV focuses on Python, the underlying Kendryte SDK fully supports C and C++ development for more performance-critical applications.
Q: Is there a built-in battery connector?
A: No, the board is designed to be powered via USB Type-C. For portable projects, you will need to use an external battery module connected to the 5V pin or USB port.
Q: Does the Wi-Fi module support AP mode?
A: Yes, the integrated Wi-Fi 6 module supports both Station mode and Access Point (AP) mode, allowing you to create a local network for your device.
Q: Does this board support TensorFlow Lite models directly?
A: The board primarily uses the Kendryte SDK and CanMV framework. While it does not run standard TensorFlow Lite files natively, models can be converted to the supported format using the provided conversion tools in the SDK.
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