Description
Reviews
| Brand | - |
| Category | Robotics / STEM Teaching Tools / Development, Learning, Evaluation & Industrial Control Boards |
| Origin | - |
| Processor | Rockchip RV1126 Quad-core ARM Cortex-A7 |
| NPU Performance | 2.0 TOPS for AI Inference |
| Operating System | Linux (Buildroot/Ubuntu supported) |
| RAM | 1GB or 2GB LPDDR4 |
| Storage | 8GB eMMC + MicroSD Slot |
| Video Input | MIPI CSI-2 Interface (up to 4 lanes) |
| Video Output | HDMI 2.0 and LVDS/eDP |
| Connectivity | Gigabit Ethernet, Wi-Fi 5, Bluetooth 5.0 |
| Expansion Interfaces | GPIO, I2C, SPI, UART, PWM, ADC |
| Power Supply | 5V/3A via USB Type-C |
Anonymous
Mar 25, 2026
Rating: 4/5
Great hardware, steep learning curve
The hardware capabilities are impressive for the price point. However, getting the custom Linux build configured took some time if you aren't familiar with Buildroot. Once set up, it runs smoothly.
Anonymous
Mar 21, 2026
Rating: 4/5
Solid choice for industrial control
We deployed these in a pilot test for quality inspection. The stability under continuous operation is good. Would recommend adding a heatsink for high-load scenarios.
Anonymous
Mar 21, 2026
Rating: 3/5
Good board but needs better tutorials
As a beginner, I found the lack of step-by-step Python examples challenging. The hardware is powerful, but more beginner-friendly guides would make this a 5-star product.
Anonymous
Mar 16, 2026
Rating: 5/5
Perfect for Edge AI Prototyping
This board exceeded my expectations. The NPU performance is solid for running YOLO models at decent frame rates. Documentation was clear, and the community support is growing fast.
Anonymous
Mar 11, 2026
Rating: 5/5
Best in class for this price range
Compared to other boards in this category, the RV1126 offers superior NPU efficiency. The open-source nature allows us to customize the kernel exactly how we need for our specific application.
Anonymous
Mar 10, 2026
Rating: 5/5
Excellent value for computer vision projects
I used this for a small autonomous robot project. The camera interface works flawlessly with standard MIPI modules, and the inference speed is sufficient for real-time obstacle avoidance.
Q: Can I use this board for training deep learning models?
A: This board is designed for inference (running pre-trained models). For training complex models, we recommend using a PC or cloud server and then deploying the model to this board.
Q: What is the maximum resolution supported by the CSI camera interface?
A: The MIPI CSI-2 interface supports up to 4K resolution at 30fps or 1080p at 60fps, depending on the specific sensor module used.
Q: Is a power adapter included in the box?
A: No, the package includes only the development board. You will need to provide a standard 5V/3A USB Type-C power adapter separately.
Q: Does this board support Android OS?
A: While primarily optimized for Linux, Android support is available through third-party BSPs, though official documentation focuses on Linux environments.
Q: Are GPIO pins 5V tolerant?
A: Most GPIO pins operate at 3.3V logic levels. Please refer to the schematic in the wiki before connecting 5V peripherals to avoid damage; level shifters may be required.
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