Arducam B0466N 12.3MP 477M HQ Camera Module w/ 158° M12 Lens

The B0466N module uses the Raspberry Pi Camera Module V2 physical form factor (25x24mm) and connector, but its native driver support and full feature set are optimized for NVIDIA Jetson Orin platforms (Orin NX, Nano, AGX Orin) running JetPack L4T. For use with Raspberry Pi, you would need to verify driver availability and may require custom configuration for the 477M sensor and RAW output formats.

First, ensure your Jetson Orin device is running a supported JetPack L4T version (32.x or later). Physically connect the camera module to the MIPI CSI-2 connector on the carrier board using the included FPC cable. Power on the system. The camera should be detected by the NVIDIA camera stack. You can then use standard GStreamer pipelines, the NVIDIA DeepStream SDK, or Python libraries like OpenCV to capture video streams and images, leveraging the module's 4K and RAW capabilities for your AI inference pipelines.

Yes, the lens is interchangeable. It uses a standard M12xP0.5mm mounting thread. You can unscrew the included 158° wide-angle lens and replace it with other M12 lenses (e.g., telephoto, fisheye, or lenses with different apertures) to suit your application. The module has manual focus, so after changing the lens, you will need to adjust the focus ring manually to achieve a sharp image for your specific working distance.

To access the RAW8 and RAW10 sensor data outputs, you will need to use the NVIDIA JetPack SDK and its camera APIs on your Jetson Orin system. The V4L2 driver interface exposed by the B0466N supports these formats. You can configure your capture pipeline in GStreamer or a custom C/C++ application using the NVIDIA Multimedia API to request the RAW stream. This raw data is essential for advanced computer vision tasks where you need to apply custom debayering, color correction, or sensor-level processing before your AI model inference.