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V1624MPZ

Computar V1624-MPZ 1" 16mm F2.4 (C Mount) Megapixel Machine Vision Lens

Computar V1624-MPZ 1" 16mm F2.4 (C Mount) Megapixel Machine Vision Lens

SKU:V1624-MPZ

Regular price $471.00 USD
Regular price Sale price $471.00 USD
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Title

Unlock Precision and Clarity: Computar V1624-MPZ 1" 16mm F2.4 Machine Vision Lens

Product Spec Sheet

The Computar V1624-MPZ 1" 16mm F2.4 Machine Vision Lens is a pinnacle of optical engineering, meticulously crafted for demanding machine vision applications. With a 20MP resolution and a 1" format, this lens delivers unparalleled clarity and detail, capturing every nuance with exceptional precision. Its ultra-low distortion design ensures uniform image quality across the frame, guaranteeing corner-to-corner sharpness for accurate analysis.

Crafted for versatility, this lens features a C-mount interface, compatible with a wide range of machine vision cameras. Its F2.4 aperture allows for optimal light transmission, ensuring clear imaging even in challenging lighting conditions. Despite its powerful capabilities, the lens remains compact and lightweight, facilitating easy integration into any setup.

Engineered for reliability, the Computar V1624-MPZ lens boasts vibration resistance up to 5G, ensuring stable performance in dynamic environments. Whether used for industrial surveillance, quality control inspection, robotics, or automation, this lens empowers businesses with unparalleled imaging capabilities. Elevate your machine vision system to new heights of performance and accuracy with the Computar V1624-MPZ 1" 16mm F2.4 Machine Vision Lens.

Features:

  • Designed for machine vision applications
  • 16mm fixed lens
  • Compatible with up to 20-megapixel cameras
  • C-mount
  • F 2.4 aperture
  • Shorter working distance
  • Compact and lightweight design
  • Vibration resistance up to 5G
  • Nominal distortion design ensures corner brightness
  • Also available in 8mm, 12mm, 25mm, 35mm, 50mm and 75mm

Applications:

  • Industrial surveillance systems
  • Quality control inspection
  • Robotics and automation
  • Object recognition
  • Traffic monitoring
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