12.3MP IMX378 Camera 190 FOV for Raspberry Pi 4B/5

This high-resolution camera is the perfect choice for demanding image capturing with the Raspberry Pi. Featuring the powerful Sony IMX378 sensor, it delivers crisp images with a resolution of 4056 × 3040 pixels. The wide angle of 190° provides a broad field of view, ideal for panoramic shots, surveillance systems, or virtual reality applications. Thanks to the high-quality fisheye lens, large scenes are captured with minimal distortion. The camera is fully compatible with Raspberry Pi 4B and 5 and is easy to connect thanks to the included FPC cables. The rolling shutter mode ensures natural motion representation, while the integrated infrared filter provides clear colors in daylight. With the fixed focus lens, no manual focusing is required, making operation particularly easy. The module uses the MIPI-CSI interface for fast and lossless data transmission. With its compact design, the camera is suitable for numerous projects in the fields of robotics, automation, and artificial intelligence.

Recommended Accessories:

Raspberry Pi New Raspberry Pi 5

Features:

The Sony IMX378 sensor provides outstanding image quality with 12.3 million pixels.
The maximum resolution is 4056 × 3040 pixels, enabling detailed captures.
The fisheye lens with a 190° field of view captures large scenes with minimal distortion.
The camera is compatible with Raspberry Pi 4B and Raspberry Pi 5 and ready to use.
The FPC cables for connection are included, eliminating the need for additional adapters.
The rolling shutter mode ensures natural representation of movements.
The integrated infrared filter ensures clear colors and prevents unwanted color casts.
The camera uses the MIPI-CSI-2Lane interface for fast and lossless image transmission.
The module has a compact design with a board dimension of 38 × 38 mm.

Application Examples:

Perfect for 360-degree surveillance systems with a comprehensive view of the entire area.
Ideal for virtual reality projects to create immersive panoramic images.
Usable in robotics for precise visual recognition and navigation.
Suitable for machine learning applications for object recognition and image analysis.
Applicable in autonomous vehicles or drones for environmental sensing.