Description
Reviews
| Brand | - |
| Category | Robotics / STEM Teaching Tools / Development, Learning, Evaluation & Industrial Control Boards |
| Origin | - |
| Processor | Rockchip RK3568 Quad-Core Cortex-A55 |
| AI Accelerator | 0.8 TOPS NPU for AI Inference |
| Operating Systems | Android 11, Linux, HarmonyOS compatible |
| RAM Capacity | 4GB LPDDR4 (Optional 2GB/8GB) |
| Storage Interface | eMMC 5.1 and MicroSD Card Slot |
| Video Output | HDMI 2.0, MIPI-DSI, LVDS |
| Camera Support | Dual MIPI-CSI interfaces up to 13MP |
| Connectivity | Gigabit Ethernet, Wi-Fi 5, Bluetooth 5.0 |
| Expansion Interfaces | PCIe 3.0, USB 3.0, USB 2.0, CAN, RS485 |
| Power Supply | 5V DC via Type-C or GPIO header |
Anonymous
Mar 30, 2026
Rating: 4/5
Great Hardware, Steep Learning Curve
Hardware quality is excellent with robust connectors. Getting HarmonyOS running required some specific configuration steps not fully detailed in the quick start guide. Once set up, it runs very stable for industrial control tasks.
Anonymous
Mar 29, 2026
Rating: 3/5
Good but needs better docs for Industry
The board itself is powerful and reliable for our prototype phase. However, detailed schematics for the industrial IO expansion were hard to find. Support team was helpful once contacted directly.
Anonymous
Mar 18, 2026
Rating: 5/5
Best Board for University Projects
As a student learning embedded AI, this board offers everything I need without breaking the bank. The ability to switch between Android and Linux is a huge plus for different course requirements.
Anonymous
Mar 11, 2026
Rating: 4/5
Solid Linux Performance
Boots into Ubuntu quickly and handles multitasking well. The thermal management is adequate, though I added a small heatsink for sustained heavy loads. Good choice for gateway applications.
Anonymous
Mar 04, 2026
Rating: 5/5
Excellent Value for Robotics
Used this as the brain for a custom mobile robot. The multiple UART and CAN interfaces made connecting sensors and motor drivers straightforward. The AI capabilities allow for real-time navigation decisions.
Anonymous
Mar 01, 2026
Rating: 5/5
Perfect for Edge AI Projects
The NPU performance on this board is impressive for the price point. I successfully deployed a YOLOv5 model for object detection with smooth frame rates. Documentation could be slightly better, but the community support fills the gaps.
Q: Can I power this board via the GPIO pins?
A: Yes, there is a dedicated 5V input pin on the GPIO header, but we recommend using the Type-C port for stable power delivery during high-load AI operations.
Q: Does it support PoE (Power over Ethernet)?
A: The standard board does not have built-in PoE. However, there is a pinout available to connect an external PoE HAT or module if your application requires it.
Q: Does this board come with a pre-installed OS?
A: The board typically ships with a basic bootloader. You will need to flash your preferred image (Android, Linux, or HarmonyOS) onto the eMMC or SD card using the provided tools and guides.
Q: What is the maximum resolution supported by the HDMI output?
A: The HDMI 2.0 interface supports up to 4K resolution at 60Hz, providing crisp display output for high-definition monitors and TVs.
Q: Is the NPU compatible with TensorFlow Lite?
A: Yes, the RK3568 NPU supports TensorFlow Lite models. You will need to convert your models using the Rockchip RKNN Toolkit to optimize them for the hardware accelerator.
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