Waveshare IMX219-160IR Camera, 160° FOV, Applicable for Jetson Nano (Infrared)

WaveshareSKU: RB-Wav-1258
Manufacturer #: 16680

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Sale price ¥4,177

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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.

  • 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)
  • 25 x 24 mm
  • 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

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