
Waveshare IMX219-160IR Camera, 160° FOV, Applicable for Jetson Nano (Infrared)
Description Waveshare IMX219-160IR Camera, 160° FOV, Applicable for Jetson Nano (Infrared) Enhances AI projects with 8MP resolution Provides 160° field of view for wide coverage Offers night vision with infrared LEDs Designed for Jetson Nano and Raspberry Pi Compact size with secure attachment holes The Waveshare IMX219-160IR Camera, 160° FOV, Applicable for Jetson Nano (Infrared) is an advanced imaging device designed to enhance AI projects with its high-resolution capabilities. This 8MP camera is built around the IMX219 sensor and is specifically tailored for integration with Jetson Nano and Raspberry Pi series boards. Its wide 160° field of view ensures comprehensive coverage, making it ideal for applications such as face recognition, road mark detection, and license plate recognition. Equipped with night vision functionality, the camera requires infrared lighting to operate effectively in low-light conditions. The inclusion of infrared LEDs allows it to capture clear images even in the dark, broadening its usability in various environments. The camera's design includes four screw holes, facilitating secure attachment to compatible devices, and it provides a 3.3V power output for efficient operation. This camera is a versatile tool for developers and engineers working on sophisticated AI-driven projects, offering both high performance and adaptability to different technological ecosystems. View more What's Included 1x Waveshare IMX219-160IR Camera, 160° FOV, Applicable for Jetson Nano (Infrared) 1x Infrared LED board (b) 2pcs 1x 15-pin FFC (opposite sides contact) Dimensions 25 x 24 mm Links Website IMX219-160IR Camera,160° FOV, Applicable for Jetson Nano (Infrared) - 160IR Camera Wiki Specifications 8MP IMX219 sensor 160° field of view Aperture: 2.35 Focal length: 3.15 mm Distortion: less than 14.3% Four screw holes for attachment Provides 3.3V power output Includes Infrared LEDs Compatible with Jetson Nano, Raspberry Pi series boards, and VisionFive2