Description
Reviews
| Brand | - |
| Category | Robotics / STEM Teaching Tools / Development, Learning, Evaluation & Industrial Control Boards |
| Origin | - |
| Processor | Rockchip RV1126B Quad-core Cortex-A7 |
| NPU Performance | 3 TOPS INT8 Neural Processing Unit |
| Operating System | Linux (Open Source Support) |
| Memory Interface | Supports DDR3/DDR3L/DDR4 up to 4GB |
| Video Encoding | H.265/H.264 up to 4K @ 30fps |
| Video Decoding | H.265/H.264 up to 4K @ 60fps |
| Camera Interfaces | Dual MIPI CSI, supports up to 13MP sensors |
| Connectivity | Gigabit Ethernet, Wi-Fi 5, Bluetooth 5.0 |
| Form Factor | Core Board with Gold Finger Connector |
| Application Scope | AIoT, Smart Vision, Industrial Control |
Anonymous
Mar 29, 2026
Rating: 5/5
Best in class for edge computing
Upgraded from an older ARM board and the difference in inference speed is night and day. The 3 TOPS capability allows us to run complex models locally without latency issues. Great purchase for our robotics team.
Anonymous
Mar 25, 2026
Rating: 4/5
Great hardware, steep learning curve
The board itself is powerful and handles 4K video encoding smoothly. However, if you are new to Rockchip SDKs, be prepared to spend some time configuring the build environment. Once running, it performs flawlessly.
Anonymous
Mar 25, 2026
Rating: 5/5
Perfect for AI Vision Prototyping
The 3T NPU on this board is a game changer for my object detection project. The Linux environment was easy to set up, and the documentation provided by the community is quite helpful. Highly recommended for embedded AI developers.
Anonymous
Mar 08, 2026
Rating: 5/5
Excellent value for industrial control
We integrated this core board into our custom carrier for a factory monitoring system. The stability under continuous operation has been impressive, and the dual camera support allows us to monitor two assembly lines simultaneously.
Anonymous
Mar 03, 2026
Rating: 5/5
Reliable and well-supported
The build quality of the core board is excellent. Gold fingers are robust, and the component layout is logical. Support forums are active, which helped me resolve a driver issue quickly. A must-have for serious developers.
Anonymous
Mar 01, 2026
Rating: 4/5
Solid performance, good thermal management
Runs cool even under heavy NPU load. The open-source hardware aspect makes it easy to design a custom carrier board. My only minor complaint is that the pinout diagram could be more detailed in the initial docs.
Q: Can I connect a USB 3.0 camera directly to the core board?
A: The core board exposes USB 2.0/3.0 host interfaces via the gold finger connector. While direct connection depends on your carrier board design, the RV1126 SoC supports UVC cameras, making USB camera integration straightforward.
Q: What is the operating temperature range for industrial use?
A: The RV1126BJ chip and the core board are designed to operate reliably in temperatures ranging from -20°C to +70°C, making it suitable for most indoor and sheltered industrial environments.
Q: What is the power consumption under full NPU load?
A: Under typical full-load conditions with the NPU actively processing 4K video streams, the core board consumes approximately 3.5W to 4.5W, depending on the specific workload and peripheral usage.
Q: Does this board come with pre-installed Linux OS?
A: The board typically ships with a bootable SD card image containing a standard Linux distribution. You can also download the latest firmware and source code from the official GitHub repository to customize your build.
Q: Is there support for TensorFlow Lite or PyTorch models?
A: Yes, the RKNN Toolkit allows you to convert models from TensorFlow, PyTorch, Caffe, and ONNX into the RKNN format optimized for the 3T NPU. Detailed conversion guides are available in the developer wiki.
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