zł139.26 tax excl.
IMX462 IR-CUT Camera (A) is a versatile camera with a starlight sensor and IR-CUT mechanism, delivering high image quality in both daytime and nighttime conditions. It is ideal for surveillance projects, image recognition systems, and applications using Raspberry Pi that require reliable performance under varying lighting conditions.
The IMX462 IR-CUT Camera (A) is a high-quality video module with a 2 MP resolution (1920×1080), designed for use with Raspberry Pi computers. It features the Sony IMX462 sensor with high light sensitivity (starlight), enabling clear image capture even in low-light conditions. The integrated mechanical IR-CUT filter allows automatic or software-controlled switching between day and night modes, ensuring accurate color reproduction in daylight and support for night vision when used with external IR lighting.
Built with a fixed-focus 3.95 mm lens, the camera offers a wide 90° diagonal field of view (DFOV) and low optical distortion. The module is suitable for mounting and use with a wide range of Raspberry Pi models, from the Zero series to the Pi 5.
Manufacturer BTC Korporacja sp. z o. o. Lwowska 5 05-120 Legionowo Poland sprzedaz@kamami.pl 22 767 36 20
Responsible person BTC Korporacja sp. z o. o. Lwowska 5 05-120 Legionowo Poland sprzedaz@kamami.pl 22 767 36 20
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No product available!
The camera is equipped with an IMX708 image sensor dedicated to the Raspberry Pi. It offers a resolution of 12 MPx (4608 x 2592 px) and allows you to obtain very detailed photos and videos. The camera is equipped with an integrated IR-CUT filter and supports HDR technology. ArduCAM B0310
The camera is equipped with an IMX708 image sensor dedicated to the Raspberry Pi. It offers a resolution of 12 MPx (4608 x 2592 px) and allows you to obtain very detailed photos and videos. The camera is equipped with an integrated IR-CUT filter and supports HDR technology. ArduCAM B0309
IMX462 IR-CUT Camera (A) is a versatile camera with a starlight sensor and IR-CUT mechanism, delivering high image quality in both daytime and nighttime conditions. It is ideal for surveillance projects, image recognition systems, and applications using Raspberry Pi that require reliable performance under varying lighting conditions.