Description
Reviews
| Brand | - |
| Category | Robotics / STEM Teaching Tools / Development, Learning, Evaluation & Industrial Control Boards |
| Origin | - |
| Processor | Rockchip RV1106 (Dual-core Cortex-A7 + RISC-V MCU) |
| NPU Performance | 0.5 TOPS for AI Vision Tasks |
| Memory | 256MB DDR3L |
| Storage | Supports up to 128GB microSD Card |
| Camera Interface | MIPI CSI-2 (Supports up to 5MP sensors) |
| Video Encoding | H.264/H.265 up to 1080p @ 30fps |
| Connectivity | 10/100 Ethernet, USB 2.0 Host/Device |
| Operating System | Buildroot Linux / Ubuntu Core |
| Form Factor | Stamp-hole Core Board (28mm x 28mm) |
| Power Supply | 3.3V DC Input via Pin Header |
Anonymous
Mar 30, 2026
Rating: 5/5
Perfect for Smart Lock Prototypes
This board is exactly what I needed for my smart door lock project. The face recognition library runs smoothly on the NPU, and the documentation provided by Wildfire is surprisingly detailed. Boot time is fast, and the stamp-hole design makes it easy to integrate into custom PCBs.
Anonymous
Mar 24, 2026
Rating: 3/5
Good Hardware, Needs Better SDK Examples
The hardware is reliable and the thermal performance is good even under load. However, the SDK examples for specific face recognition scenarios are limited. I had to write quite a bit of custom code to get the exact behavior I wanted for my access control system.
Anonymous
Mar 22, 2026
Rating: 4/5
Solid Board, Minor Documentation Gaps
The board itself is robust and the pinout is logical. I managed to get a camera module working within an hour. My only complaint is that some of the advanced GPIO examples in the wiki are a bit sparse, but the community forum helped fill in the blanks.
Anonymous
Mar 22, 2026
Rating: 4/5
Great Value, Steep Learning Curve
Hardware quality is excellent for the price point. The RV1106 chip handles video processing well. However, if you are new to Buildroot, expect to spend some time setting up the environment. Once configured, it's a stable platform for industrial control applications.
Anonymous
Mar 10, 2026
Rating: 5/5
Impressive AI Capabilities
I was skeptical about the 0.5 TOPS claim, but it actually performs very well for person detection and facial landmark tracking. The power consumption is low enough for battery-operated devices with sleep modes. Highly recommended for vision-based IoT projects.
Anonymous
Mar 07, 2026
Rating: 5/5
Best Budget Dev Board for Vision
As a student working on a final year project, this board offered the best balance of cost and performance. It handles real-time video analytics without breaking the bank. The support team was also quick to answer my questions about driver compatibility.
Q: Does the NPU support TensorFlow or PyTorch models directly?
A: The NPU uses the Rockchip RKNN toolkit. You will need to convert your TensorFlow or PyTorch models to the RKNN format before deploying them on the board. Detailed conversion guides are available in our documentation.
Q: Can I connect a standard USB webcam instead of a MIPI camera?
A: Yes, the RV1106 supports UVC cameras via the USB 2.0 interface. However, for optimal performance and lower latency in face recognition tasks, we recommend using a compatible MIPI CSI-2 camera module.
Q: What is the operating temperature range for industrial use?
A: The commercial grade version operates between -20°C to 70°C. For harsher industrial environments, please contact us regarding the extended temperature grade options available for bulk orders.
Q: Is there a carrier board available for this core module?
A: Yes, Wildfire offers several evaluation carrier boards that break out all the interfaces including HDMI, Ethernet, and multiple camera connectors. These are sold separately on our store page.
Q: Does this board come with a pre-installed OS image?
A: Yes, the board comes with a basic Buildroot Linux image pre-flashed. You can download more comprehensive images and source codes from the official Wildfire wiki page.
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