Description
Reviews
| Brand | - |
| Category | Robotics / STEM Teaching Tools / Development, Learning, Evaluation & Industrial Control Boards |
| Origin | - |
| Processor | Rockchip RK3562J Quad-Core Cortex-A53 |
| RAM | 2GB LPDDR4 |
| NPU Performance | 1 TOPS for AI Inference |
| Operating Temperature | -40°C to +85°C (Industrial Grade) |
| Storage Interface | eMMC 5.1, SD Card Slot |
| Connectivity | Dual Gigabit Ethernet, Wi-Fi 5, Bluetooth 5.0 |
| Display Output | HDMI 2.0, MIPI DSI, LVDS |
| Expansion Interfaces | PCIe 3.0, USB 3.0, CAN Bus, RS485 |
| Power Supply | DC 12V Input with PMIC Management |
| Form Factor | Compact Core Board with Carrier Board Option |
Anonymous
Mar 30, 2026
Rating: 5/5
Excellent value for domestic chip adoption
We switched to this board to reduce supply chain risks. The fully domestic component strategy is working well for us. The quad-core A53 provides enough power for our HMI and logic control without overheating.
Anonymous
Mar 28, 2026
Rating: 4/5
Great hardware, documentation could be better
The build quality is solid and the ports are exactly what I needed for my control system. However, some of the peripheral driver examples in the SDK took a bit of digging to find. Once set up, performance is stable.
Anonymous
Mar 26, 2026
Rating: 4/5
Solid performer for the price point
Used this for a smart gateway project. The 2GB RAM is sufficient for our Docker containers. The only minor issue was the initial configuration of the Wi-Fi module, but support helped resolve it quickly.
Anonymous
Mar 10, 2026
Rating: 5/5
Great for learning embedded AI
As an educational tool, this board is fantastic. Students can easily experiment with the NPU capabilities using standard frameworks. The community support is growing, which makes troubleshooting easier.
Anonymous
Mar 02, 2026
Rating: 5/5
Robust connectivity options
Having dual Gigabit Ethernet and CAN bus out of the box saved us weeks of design time. The board boots quickly and the Linux image provided is stable. Highly recommended for edge computing applications.
Anonymous
Mar 01, 2026
Rating: 5/5
Perfect for Industrial IoT Prototyping
This board exceeded my expectations for an embedded project. The RK3562J handles multitasking smoothly, and the industrial temperature range gives me confidence for factory deployment. The NPU is a nice bonus for running lightweight object detection models.
Q: Is the source code for the BSP (Board Support Package) open source?
A: We provide full BSP source code including U-Boot, Kernel, and rootfs under an open-source license upon registration on our developer portal.
Q: What is the maximum resolution supported by the HDMI output?
A: The HDMI 2.0 interface supports up to 4K resolution at 60Hz, ensuring crisp display output for high-definition HMIs.
Q: Does this board come with a pre-installed operating system?
A: Yes, the board typically ships with a customized Android or Buildroot Linux image. Ubuntu images are also available for download from our official repository.
Q: How do I access the NPU for custom AI model inference?
A: You can use the Rockchip RKNPU toolkit which supports ONNX and TensorFlow Lite models. Detailed guides and Python/C++ APIs are included in the SDK documentation.
Q: Can this board operate reliably in a non-climate-controlled warehouse?
A: Absolutely. Designed as an industrial-grade board, it is rated for operation between -40°C and +85°C, making it suitable for harsh environments.
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