Demo - Distortion Correction¶
Connect the Arducam RoAD.B USB Camera¶
| Product Image | SKU | Shutter Type | Interface | Color Filter Array | Resolution@fps(MJPG) | Baseline Distance | Power Consumption | Lens Mount | FOV(DxHxV) | Features |
|---|---|---|---|---|---|---|---|---|---|---|
 |
B0643 | Global Shutter | USB Type-C, 4Pin JST | Monochrome | 2560x800@30fps, 1280x400@100fps; 640x200@100fps; |
55mm | Max: 1.2W | M12 | 82°(D)x70°(H)x55°(V) | Stereo Sync |
 |
B0645 | Global Shutter | USB Type-C, 4Pin JST | Color | 2560x800@30fps, 1280x400@100fps; 640x200@100fps; |
20mm | Max: 1.2W | Stock Lens | 89.5°(D)x80°(H)x55°(V) | Stereo Sync |
Please refer to the Windows AMCap guide to download the AMCap application. AMCap is a test application commonly used for USB UVC cameras and supports camera preview functions.
After downloading, launch AMCap on your Windows PC.
Connect the Arducam-RoAD.B-USB Camera to the computer via USB. In AMCap, select the corresponding UVC camera device from the device list.
If the camera is connected correctly, the live preview image should be displayed normally in the AMCap window.
Note
Make sure the camera is recognized as a UVC device by Windows. If no image is displayed, check the USB connection, camera selection, and whether the camera is occupied by another application.
Quick Start Demonstration¶
Download the Source Code¶
- Open the Arducam-RoAD.B-USB-Demo GitHub repository.
- Click Code > Download ZIP to download the source code package.
Extract the ZIP Package¶
- After the download is complete, extract the ZIP package to a local directory.
- Open the extracted folder, then right-click in the folder and select Open in Terminal.
Install Python Dependencies¶
● Enter the python directory:
cd python
● Create a Python virtual environment:
python -m venv venv
● Activate the virtual environment:
.\venv\Scripts\activate
● Install the required Python dependencies:
pip install -r .\requirements.txt
● Wait until all dependencies are installed successfully.
Run the Demo¶
- Distortion correction demonstration
python .\undistort\rectify.py
If the device is connected correctly and the required dependencies are installed, the demo should start and display the rectified camera image.