5MP Night Vision Camera for Raspberry Pi (Compatible with Raspberry Pi 4B)

5MP Night Vision Camera for Raspberry Pi delivers reliable low‑light imaging for embedded vision, robotics monitoring, and maker projects built around Raspberry Pi. The compact camera module integrates the OV5647 photosensitive sensor with adjustable focus optics and dedicated infrared illumination, enabling clear image capture even in dark environments. Dual external 1W 850nm infrared LED boards provide strong night‑vision capability, while an onboard light‑sensing circuit automatically activates illumination when ambient brightness drops. Adjustable focus and a compact PCB footprint allow this Raspberry Pi camera accessory to integrate easily into surveillance systems, autonomous robots, and DIY vision prototypes.

Figure: 5MP night vision camera module with dual infrared LED boards

Infrared Night Vision with Automatic Light Detection

This embedded vision module combines two external 1W 850nm infrared LED boards with a photoresistor‑based ambient light detection circuit. The onboard sensing circuit measures surrounding brightness and automatically switches infrared illumination on or off when lighting conditions change. Such automatic control ensures efficient energy usage while maintaining clear visibility during nighttime monitoring, indoor surveillance, or dim laboratory environments where conventional camera modules struggle to capture usable images.

Adjustable Focus for Flexible Imaging Distance

An adjustable focus ring allows precise tuning of focal length to match different viewing distances. This configurable optics design supports close‑range object observation, robotics navigation vision, or mid‑range monitoring setups. The adjustable 3.6mm lens helps maintain image sharpness across varied installation scenarios, providing flexibility for experimental computer vision development, embedded AI testing, and custom monitoring systems where fixed‑focus cameras may limit performance.

Optimized OV5647 Sensor for Raspberry Pi CSI Interface

The imaging board uses the OV5647 5‑megapixel sensor widely supported by Raspberry Pi camera software stacks. Native CSI interface compatibility enables stable high‑resolution image capture and smooth integration with Linux command‑line tools, Python camera libraries, and open‑source vision frameworks. Reliable sensor performance combined with compact PCB dimensions makes this single‑board camera well suited for robotics prototyping, AI vision experiments, and compact embedded monitoring devices.

Such infrared‑enabled imaging hardware supports numerous embedded applications including night surveillance systems, wildlife monitoring, robotic navigation cameras, and experimental computer vision projects. Compact dimensions, adjustable optics, and automated infrared lighting control make this night‑vision camera module a practical sensing component for robotics builders, developers, and STEM Education laboratories exploring machine vision and environmental observation.

• 5MP OV5647 image sensor optimized for Raspberry Pi CSI interface
• Dual 1W 850nm infrared LED boards for night‑vision illumination
• Automatic infrared switching using photoresistor ambient light detection
• Adjustable 3.6mm focus lens for flexible imaging distance
• Supports external infrared or fill lighting expansion
• Compact mounting design with four screw holes for fixed installation

• Camera: 5 million pixels
• Photosensitive Module: OV5647
• Camera Parameters:
• CCD size: 1/4 inches
• Aperture (f): 1.8
• Focal Length: 3.6MM (adjustable)
• Diagonal: 75.7 degrees
• Sensor best PIX: 1080p
• 4 Screw Holes
• Can be used in a fixed position
• 3.3V external power supplies
• Supports access to the infrared light or fill light
• Dimension: 25mm x 24mm (0.98" x 0.94")

• 5MP Night Vision Camera for Raspberry Pi x 1
• Infrared LED Board x 2
• 15PIN FFC x 1

• Night vision monitoring systems
• Robotics navigation and machine vision
• Wildlife observation cameras
• Embedded AI vision experiments
• Security and surveillance prototypes
• STEM Education computer vision projects