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2MP SONY IMX462 Color Ultra Low Light STARVIS Camera Module with 141°(H) Wide-Angle M12 Lens for Raspberry Pi

Brand: Arducam

Features


₹5,490 (Incl. of all taxes)

₹4,501.8

+ ₹988.2 GST
₹8,902 38% Off
Stock: Available
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About this item

The Arducam 2 MP IMX462 STARVIS Camera Module is purpose-built for ultra‑low‑light imaging on Raspberry Pi platforms. Centered around Sony’s cutting-edge STARVIS IMX462 sensor, this module excels at capturing vibrant color even in near‑darkness, leveraging superior light sensitivity (down to approximately 0.001 lux) and strong near-infrared (NIR) reception for exceptional performance where others fail Its 141° horizontal field of view, enabled by a wide‑angle M12 lens, captures expansive scenes—making it ideal for applications like astrophotography, surveillance, robotics, and environmental monitoring The compact board measures just 24 × 25 mm and natively supports Raspberry Pi models including the 5, 4, 3, Zero series, and compute modules—eliminating the need for extra drivers and simplifying installation via established libraries like libcamera and Picamera2 With Full HD capability at up to 60 fps and output in RAW10 format, this module combines high frame rate video with rich detail and flexibility for post-processing For creators working in challenging lighting scenarios—from industrial automation to mobile robotics—this compact yet powerful camera delivers reliable, high‑quality vision.

Specifications

Sensor Sony IMX462 STARVIS Ultra-Low-Light, 2 MP
Resolution & Frame Rate 1920×1080 @ up to 60 fps, RAW10 output
Pixel Size 2.9 µm × 2.9 µm
Lens & Field of View M12 manual focus, ~2.1 mm focal length, 161° diagonal × 141.4° horizontal × 81.7° vertical
Low-Light & NIR Sensitivity Excellent low-light (down to ~0.001 lux), high NIR sensitivity
Platform Support Compatible with Raspberry Pi 5, 4, 3, Zero series, CM3, CM4; native support, no extra drivers needed
Board Size Ultra-compact 24 × 25 mm form factor
Interface & Libraries Pivariety/V4L2 support; works seamlessly with libcamera and Picamera2 libraries

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