Anonymous
Mar 31, 2026
Rating: 5/5
Exceeded my expectations
As a student new to AI hardware, this board was intuitive enough to start with but powerful enough for advanced projects. The community support is growing rapidly too.
Description
Reviews
| Brand | - |
| Category | Robotics / STEM Teaching Tools / Development, Learning, Evaluation & Industrial Control Boards |
| Origin | - |
| Processor | Canaan K230 SoC with Dual-core RISC-V |
| NPU Performance | Up to 0.8 TOPS INT8 AI Acceleration |
| Camera Sensor | 13MP Sony IMX564 with MIPI Interface |
| Memory | 1GB LPDDR4 RAM + 128MB SPI Flash |
| Connectivity | Dual-Band Wi-Fi 6 and Bluetooth 5.2 |
| Video Output | MIPI DSI supporting up to 1920x1080@60fps |
| Audio Interface | Dual Microphone Array and Speaker Driver |
| Expansion Ports | 40-pin GPIO, I2C, SPI, UART, and PWM |
| Power Supply | USB Type-C 5V/2A or Battery Input |
| Supported OS | Linux Buildroot, MaixPy3, and C/C++ SDK |
Anonymous
Mar 31, 2026
Rating: 5/5
Exceeded my expectations
As a student new to AI hardware, this board was intuitive enough to start with but powerful enough for advanced projects. The community support is growing rapidly too.
Anonymous
Mar 24, 2026
Rating: 5/5
Impressive Image Processing
The 13MP sensor captures crisp images, and the onboard processing handles complex filters instantly. MaixPy3 support makes prototyping Python scripts very easy.
Anonymous
Mar 13, 2026
Rating: 5/5
Best value for RISC-V AI
I used this for a university robotics competition. The NPU performance beats many other boards in this price range. The dual-band Wi-Fi made remote monitoring very stable.
Anonymous
Mar 07, 2026
Rating: 4/5
Solid choice for industrial prototypes
We are using this for a smart factory prototype. The GPIO pins are versatile, and the board runs cool even under heavy load. Would give 5 stars if the case was included.
Anonymous
Mar 03, 2026
Rating: 4/5
Great hardware, steep learning curve
Hardware is top-notch with excellent connectivity options. However, the documentation could be more detailed for beginners. Once you get past the initial setup, it works flawlessly.
Anonymous
Mar 02, 2026
Rating: 5/5
Perfect for Edge AI Projects
The K230 chip on this board is incredibly fast for running YOLO models. I managed to get real-time object detection at 30fps without any lag. The camera quality is also surprisingly good for a dev board.
Q: Is there a JTAG interface available for debugging?
A: Yes, the 40-pin header includes JTAG signals, allowing you to connect external debuggers for low-level system debugging and firmware development.
Q: Can I power this board with a standard Li-Po battery?
A: Absolutely. The board features a dedicated battery interface that supports standard 3.7V Li-Po batteries with built-in charging management via USB-C.
Q: Does this board support running TensorFlow Lite models directly?
A: Yes, the K230 NPU supports TensorFlow Lite models via the provided SDK and MaixHub model zoo, allowing for efficient on-device inference.
Q: What is the maximum resolution for video recording?
A: The board supports video recording up to 4K resolution at 30fps or 1080p at 60fps using the integrated ISP and H.264/H.265 encoders.
Q: Does the package include a microSD card slot?
A: Yes, there is an onboard microSD card slot that supports expansion up to 128GB, which is ideal for storing datasets and logged data.