Raspberry Pi 5MP IR Night Vision Camera Module (2592 x 1944, CSI)
The Raspberry Pi 5MP Infrared IR Night Vision Camera Module is a compact CMOS camera designed for surveillance, low light monitoring, robotics and embedded imaging applications. Featuring a 5 megapixel image sensor with a maximum resolution of 2592 x 1944 pixels, this module supports image capture and video monitoring through the Raspberry Pi CSI camera interface.
Its infrared night vision capability and IR LED illumination make it suitable for security monitoring, smart home automation and computer vision projects. The compact design allows integration into Raspberry Pi based systems where space and power efficiency are important.
Key Features -
• 5MP CMOS image sensor
• Maximum image resolution of 2592 x 1944 pixels
• Infrared night vision support
• IR LED illumination for low light monitoring
• Raspberry Pi CSI camera interface
• Suitable for image and video capture
• Compact camera module design
• Compatible with supported Raspberry Pi camera interfaces
• Suitable for surveillance and security projects
• Supports robotics and computer vision applications
• Suitable for smart home monitoring
• Can be used outdoors with appropriate weatherproof enclosure
Specifications -
• Product Type: Infrared Night Vision Camera Module
• Compatible Platform: Raspberry Pi
• Camera Resolution: 5MP
• Maximum Image Resolution: 2592 x 1944 Pixels
• Sensor Type: CMOS
• Camera Type: Infrared Night Vision
• Night Vision: IR Supported
• Illumination: Infrared LEDs
• Interface Type: CSI Camera Interface
• Operating Voltage: 5V DC as Specified
• Power Source: Raspberry Pi Camera System
• Image Capture: Supported
• Video Capture: Supported
• Mounting Type: Module Mounting
• Application: Surveillance, Robotics and Embedded Imaging
Applications -
• Raspberry Pi surveillance systems
• Home security camera projects
• Infrared night monitoring
• Robotics vision systems
• Smart home automation
• Motion detection projects
• Computer vision applications
• Embedded imaging systems
• Remote monitoring equipment
• Educational Raspberry Pi projects
• Industrial observation systems
• Time lapse photography