Attributes

Brand	-
Category	Robotics / STEM Teaching Tools / Development, Learning, Evaluation & Industrial Control Boards
Origin	-
Processor	Dual-Core RISC-V K230
AI Accelerator	Integrated NPU for Vision Tasks
Supported Framework	CanMV (MicroPython based)
Camera Interface	MIPI CSI up to 8MP
Memory	64MB LPDDR4
Storage	16MB SPI Flash
Connectivity	USB Type-C, Wi-Fi Module Header
Display Output	MIPI DSI / LCD Interface
Power Supply	5V via USB-C
Dimensions	65mm x 40mm

6 reviews

Anonymous

Mar 29, 2026

Rating: 5/5

Perfect Upgrade from K210

If you are coming from the K210, this is a massive leap in performance. The additional RAM allows for much more complex models. The build quality feels premium too.

Anonymous

Mar 29, 2026

Rating: 4/5

Solid Board for Prototyping

Used this for a smart camera prototype. The image processing capabilities are top-notch. Only wish it had onboard Wi-Fi instead of just a header, but that's a minor complaint.

Anonymous

Mar 17, 2026

Rating: 5/5

Excellent for Computer Vision Projects

The K230 board is incredibly fast for its price point. The CanMV IDE makes it very easy to get started with object detection and face recognition without deep C++ knowledge. Highly recommended for students.

Anonymous

Mar 12, 2026

Rating: 5/5

Best Value AI Board

Bought this for my university final year project. The community support is growing, and the examples provided in CanMV saved me weeks of development time. Works exactly as described.

Anonymous

Mar 10, 2026

Rating: 5/5

Reliable for Educational Kits

We purchased ten of these for our workshop. They are robust, easy to flash, and the vision recognition demos always impress the attendees. No failures so far after two months of heavy use.

Anonymous

Mar 02, 2026

Rating: 4/5

Great Hardware, Documentation Needs Work

The dual-core performance is impressive and the AI inference speed is solid. However, some of the peripheral pinout documentation was a bit sparse. Once I figured it out, it worked perfectly.

5 FAQ

Q: Does this board support TensorFlow Lite models directly?

A: The K230 primarily uses the CanMV framework which supports models converted to its specific format (often from ONNX). Direct TensorFlow Lite execution may require conversion steps using the provided tools.

Q: Can I power this board with a standard phone charger?

A: Yes, any standard 5V USB-C charger providing at least 1A of current will work perfectly. We recommend 2A if you are driving high-power peripherals or cameras.

Q: What is the maximum resolution supported for video input?

A: The MIPI CSI interface supports cameras up to 8MP. For real-time AI processing, resolutions like 640x480 or 800x600 are recommended to maintain high frame rates.

Q: Is there a JTAG interface available for debugging?

A: Yes, the board exposes JTAG pins on the header. You will need an external debugger probe compatible with RISC-V architecture to utilize this feature.

Q: Does the package include a camera module?

A: No, this package includes only the K230 development board. Camera modules and displays are sold separately to allow you to choose the specifications that fit your project.

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