
Capture high-quality wide FOV images and videos with your Raspberry Pi.

Capture high-quality images and videos without an IR filter on your Raspberry Pi.


Arducam B0332 is a new member of the Arducam's USB camera family. It's a 1MP, based on the 1/4" monochrome global shutter OV9281 image sensor.

ArduCam boards are primarily Raspberry Pi alternative camera boards that you can use with your onboard CSI connectors. This camera is no exception, boasting an ultra-wide 175 Degree FOV while maintaining a solid 8MP with the built-in IMX219.

This IMX291 is a 2MP CMOS USB camera with a pre-installed IR-filtering 160° wide-angle M12 lens




The same form factor as the official Raspberry Pi Cameras with 64 MP!





IMX335 5MP USB Camera (B), 2K Video Recording, Great Sensitivity In Low-Light Conditions, Wide Dynamic Range...


Capture a wide FOV with this M12 Lens.


Capture clear, balanced footage in high-contrast lighting. This camera features the AR0230 sensor, which provides a reliable 105dB dynamic range and a manual focus M12 lens.

In order to meet the increasing market demands for more lens options to address different use cases, ArduCam selected and tested a wide range of M12 mount optimal lenses from long focus to fisheye for shooting on your Raspberry Pi or Arduino cameras


Here's a kit that Arducam has selected from a wide range of M12 mount optimal lenses from long focus to fisheye for shooting on your Raspberry Pi or Arduino cameras.


Fisheye, Wide Angle, Telephoto M12 Camera Lenses with Lens Adapter











Capture true colour during the day and clear infrared footage at night without swapping hardware, featuring an automatic motorised IR-cut filter and an interchangeable M12 lens mount.



Just like the Raspberry Pi official camera V2, this camera module is equipped with a high-definition IMX219 8MP sensor for shooting HD video and still images.

This OV5647 camera module with autofocus capabilities and an extremely large adjustable focal-distance range is perfect for short to mid-range photography and image recognition projects.

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