Anonymous
Mar 28, 2026
Rating: 5/5
Perfect for Edge AI Prototyping
This board is incredibly compact yet powerful enough for my computer vision projects. The RISC-V architecture runs smoothly, and the NPU makes object detection surprisingly fast.
Description
Reviews
| Brand | - |
| Category | Robotics / STEM Teaching Tools / Development, Learning, Evaluation & Industrial Control Boards |
| Origin | - |
| Processor | Rockchip RV1103 RISC-V Quad-Core |
| AI Accelerator | 0.5 TOPS NPU for Vision Tasks |
| Memory | 512MB DDR4 RAM |
| Storage | 8GB eMMC Flash + MicroSD Slot |
| Connectivity | 10/100Mbps Ethernet Port |
| Video Input | MIPI CSI-2 Camera Interface |
| Video Output | LVDS and RGB LCD Support |
| Operating System | Buildroot Linux / Debian Compatible |
| Power Supply | 5V DC via USB-C or GPIO Header |
| Dimensions | 65mm x 45mm x 12mm |
Anonymous
Mar 28, 2026
Rating: 5/5
Perfect for Edge AI Prototyping
This board is incredibly compact yet powerful enough for my computer vision projects. The RISC-V architecture runs smoothly, and the NPU makes object detection surprisingly fast.
Anonymous
Mar 22, 2026
Rating: 4/5
Good performance for the price
Bought this for my university thesis on edge computing. It handles Python scripts well, though compiling large packages takes a bit of time due to the CPU constraints.
Anonymous
Mar 22, 2026
Rating: 5/5
Excellent for learning RISC-V
As someone transitioning from ARM to RISC-V, this board was the perfect starting point. Boot times are quick, and the Linux environment is very stable.
Anonymous
Mar 12, 2026
Rating: 5/5
Impressive AI capabilities in small form factor
The 0.5 TOPS NPU is a game changer for this price range. We successfully deployed a lightweight face recognition model with low latency. Highly recommended.
Anonymous
Mar 10, 2026
Rating: 5/5
Reliable for industrial control tests
We used this for a pilot project in factory monitoring. The board handled continuous operation without overheating, and the GPIO headers made sensor integration easy.
Anonymous
Mar 09, 2026
Rating: 4/5
Great value, documentation could be better
Hardware is solid and the Ethernet port works flawlessly for IoT applications. I wish the wiki had more examples for the camera interface, but community forums helped fill the gaps.
Q: What camera modules are compatible with the MIPI interface?
A: It supports standard MIPI CSI-2 sensors. Popular choices include the OV5640 and IMX219, provided you have the correct device tree configuration.
Q: Is there a JTAG header available for debugging?
A: Yes, there is a 2x5 pin header exposed on the PCB that supports JTAG debugging. You will need a compatible RISC-V debugger probe.
Q: Does this board support WiFi out of the box?
A: No, the RV1103 board does not have built-in WiFi. However, you can easily connect a USB WiFi dongle or use an external module via the UART/SPI interfaces.
Q: Can I run Docker containers on this Linux board?
A: Yes, lightweight Docker containers can run on this board, but please ensure your images are optimized for the RISC-V architecture and limited RAM.
Q: What is the power consumption under full load?
A: Under full CPU and NPU load, the board typically consumes around 2.5W to 3W. Idle consumption is significantly lower, approximately 0.8W.