Description
Reviews
| Brand | - |
| Category | Robotics / STEM Teaching Tools / Development, Learning, Evaluation & Industrial Control Boards |
| Origin | - |
| Processor | Rockchip RK3568 Quad-core Cortex-A55 up to 2.0GHz |
| GPU | Mali-G52 2EE with OpenGL ES 1.1/2.0/3.2, OpenCL 2.2, Vulkan 1.1 |
| NPU Performance | 1.0 TOPS for AI acceleration tasks |
| RAM Options | Available in 2GB, 4GB, or 8GB LPDDR4/LPDDR4X |
| Storage Interfaces | eMMC 5.1 socket, MicroSD card slot, SATA 3.0 interface |
| Connectivity | Dual Gigabit Ethernet, Wi-Fi 5, Bluetooth 5.0 |
| Display Output | HDMI 2.0, MIPI DSI, LVDS, eDP support up to 4K@60fps |
| Camera Interfaces | Dual MIPI CSI inputs supporting up to 13MP sensors |
| Operating System | Pre-loaded with Android 11 and Buildroot Linux options |
| Power Supply | DC 5V/3A via Type-C port with PMIC management |
Anonymous
Mar 29, 2026
Rating: 5/5
Best value for money in this category
Compared to other boards with similar specs, the Wildfire Luban Cat offers incredible value. The inclusion of multiple display interfaces makes it versatile for kiosk applications. Shipping was fast and packaging was secure.
Anonymous
Mar 24, 2026
Rating: 4/5
Great hardware, steep learning curve for beginners
Hardware quality is top-notch with solid connectors and good thermal design. However, if you are used to the vast Raspberry Pi ecosystem, expect some friction setting up the Linux environment. Once configured, it runs very stable for industrial control applications.
Anonymous
Mar 20, 2026
Rating: 4/5
Solid performance, runs a bit warm under load
We are using these boards for our student robotics competition. The processing power is great for navigation algorithms. Just make sure to use an active cooling solution if you plan to run CPU and NPU intensive tasks simultaneously.
Anonymous
Mar 05, 2026
Rating: 5/5
Perfect for Edge Computing Prototypes
I needed a board with dual Ethernet and SATA for a home server project, and this fits the bill perfectly. The Rockchip SDK is comprehensive, allowing me to customize the kernel easily. Highly recommended for intermediate to advanced users.
Anonymous
Mar 02, 2026
Rating: 5/5
Excellent Raspberry Pi Alternative for AI Projects
The NPU performance on this board is impressive for the price point. I successfully deployed a YOLOv5 model for object detection without needing external accelerators. The documentation could be slightly better, but the community support is growing fast.
Anonymous
Mar 01, 2026
Rating: 3/5
Good board but driver support needs time
The hardware is capable, but I encountered some issues with specific camera modules not being recognized out of the box. Had to compile custom drivers. If you are comfortable with Linux development, this is a non-issue, but beginners might struggle.
Q: Can I power this board via GPIO pins instead of USB-C?
A: While the board has GPIO headers, we strongly recommend using the dedicated USB-C power input for stability. Powering via GPIO is possible for advanced users but requires precise voltage regulation to avoid damaging the board.
Q: Is there a case available for this specific development board?
A: Yes, we offer an official acrylic case designed specifically for the Wildfire Luban Cat 2N which includes mounting holes for heatsinks. Third-party universal cases may fit but often block access to certain ports.
Q: What is the maximum resolution supported by the HDMI output?
A: The HDMI 2.0 interface supports up to 4K resolution at 60Hz. It is also backward compatible with 1080p and lower resolutions.
Q: Does this board support Ubuntu 22.04 LTS?
A: Yes, the Wildfire Luban Cat 2N supports Ubuntu 22.04 LTS. You can download the official image from our wiki or build it yourself using the provided BSP sources.
Q: How do I enable the NPU for TensorFlow Lite models?
A: You need to install the Rockchip RKNPU runtime library and use the converted .rknn model format. Detailed tutorials on converting TFLite models to RKNN are available in the 'AI Development' section of our documentation portal.
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