EDATEC 8MP 1.83mm Ultra Wide Angle M12 Lens

This lens is specifically designed for 8MP camera modules that feature a standard M12 threaded lens mount. It is directly compatible with many industrial vision boards, Raspberry Pi Camera Module variants (with M12 adapters), and popular development platforms like the OpenMV Cam H7. Always verify your camera board's lens thread specification is M12 before purchase to ensure a proper physical fit and optical alignment.

Installation is straightforward: first, remove any existing lens by unscrewing it counter-clockwise from the camera's M12 mount. Then, carefully align the EDATEC lens threads and screw it in clockwise by hand until snug. Avoid over-tightening, as this can damage the threads or the camera sensor alignment. The process requires no tools and enables quick swapping between different lenses for various field-of-view requirements in your prototype or final product.

A 1.83mm focal length on a typical 1/4-inch sensor provides an extremely wide field of view, often exceeding 120 degrees diagonally. This allows a single camera to monitor an entire room, capture expansive landscapes, or fit large structures into the frame from a short distance. Be aware that such a wide angle can introduce barrel distortion at the edges, which may require software correction (dewarping) in your application for accurate dimensional analysis or a natural-looking image.

Yes, but it requires an additional M12 lens mount adapter. The Raspberry Pi High Quality Camera uses a CS-mount; therefore, you must first install a CS-to-M12 adapter ring onto the camera. Once the adapter is secured, you can then screw this EDATEC 1.83mm lens into the adapter's M12 threads. This setup is common for creating custom wide-angle imaging solutions with the Raspberry Pi platform for projects in security, microscopy, or creative photography.

In IoT and embedded systems, this lens is ideal for security and surveillance applications where maximizing the monitored area from a single fixed camera is critical, such as in room occupancy detection. It's also used in smart retail for people counting, in agriculture for monitoring large fields, in drones for expansive aerial mapping, and in automotive for parking assistance or blind-spot monitoring systems. Its ability to capture a broad scene reduces the number of cameras needed for full coverage, lowering system cost and complexity.