IMX462-100 2 MP Starlight camera with Sony IMX462 sensor, IR-CUT filter, and 100° FOV - Waveshare 29449
ID: 1197548
5902186321755
zł317.08
Tax included
zł257.79 tax excl.
IMX462-100 2MP camera with starlight sensor and 100° field of view, designed for use with Raspberry Pi and Jetson platforms. Thanks to its high light sensitivity and IR-CUT filter, it provides excellent imaging performance both day and night. Ideal for applications in surveillance, object recognition, AI systems, and projects requiring low-light recording.
Description
The IMX462-100 camera module features a Sony IMX462 CMOS starlight sensor and a built-in image signal processor (ISP), enabling detailed image capture in low-light conditions. The fixed-focus lens with a 3.9 mm focal length offers a 100° field of view. The camera is equipped with an IR-CUT filter that allows automatic switching between day and night modes. Compatible with Raspberry Pi and Jetson Nano boards. Requires the appropriate driver and possibly an FPC adapter for CM/Zero boards.
Features
- Sensor: Sony IMX462, type 1/2.8"
- Resolution: 1920 × 1080 (2MP)
- Shutter type: Rolling shutter
- Signal processing: integrated ISP
- Aperture: F1.0
- Focal length: 3.9 mm
- Field of view: 100.0°
- Image distortion: < –32.0%
- Lens: fixed focus
- Built-in IR-CUT filter for automatic day/night mode switching
- Compatibility: Raspberry Pi 5 / 4B / 3B+ / 3A+ / Zero / Zero 2 W, Compute Module 3/3+/4 (with adapter), Jetson Nano
1197548
Data sheet
- Resolution
- 2Mpx
- Interface
- MIPI CSI-2
- Sensor
- IMX462
- IR filter
- Yes
- Lens assembly
- none
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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IMX462-100 2MP camera with starlight sensor and 100° field of view, designed for use with Raspberry Pi and Jetson platforms. Thanks to its high light sensitivity and IR-CUT filter, it provides excellent imaging performance both day and night. Ideal for applications in surveillance, object recognition, AI systems, and projects requiring low-light recording.