Waveshare IMX462-99 IR-CUT Starlight Camera, 2MP, 99° FOV
The Waveshare IMX462-99 is a 2MP starlight camera module featuring a Sony STARVIS sensor with onboard ISP and IR-CUT filter, delivering high-quality 1080p video in low-light conditions. It is directly compatible with Raspberry Pi and Jetson Nano platforms for embedded vision applications.
Features
- Features the Sony IMX462LQR-C STARVIS back-illuminated sensor for exceptional low-light sensitivity and clear imaging in near-infrared.
- Onboard IR-CUT filter automatically switches between day (color) and night (monochrome) modes for accurate color reproduction.
- Integrated Image Signal Processor (ISP) handles AE, AWB, and 2D/3D noise reduction for optimized video output.
- Provides a wide 99.1° diagonal field of view with a fixed-focus 4.0mm F1.0 lens for broad scene coverage.
- Directly interfaces with popular SBCs like Raspberry Pi and NVIDIA Jetson Nano via the included cable.
Out of stock
The Waveshare IMX462-99 IR-CUT Camera is engineered for demanding embedded vision tasks where lighting conditions are variable or poor. Its core is the 1/2.8-inch Sony IMX462 STARVIS sensor, which utilizes back-illuminated pixel technology to achieve high quantum efficiency. This allows the module to capture detailed 1920×1080 video at up to 30fps even in starlight environments, making it ideal for surveillance, wildlife monitoring, and IoT sensing.
Beyond the sensor, the module incorporates a robust image processing pipeline. The onboard ISP manages critical functions like auto-exposure, auto white balance, and spatial-temporal noise reduction, offloading these tasks from the host processor. The mechanical IR-CUT filter is key to its day/night operation, physically moving to block infrared light during the day for true color and allowing it in at night for maximum scene illumination with IR LEDs. The fixed-focus F1.0 lens ensures high light intake and a consistent depth of field.
Additional Information
| Weight | 0.036 kg |
|---|---|
| Dimensions | 6 × 9 × 6 cm |
















