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Fujinon CF8ZA-1S | 1.1" 8mm C-Mount Manual Iris 23 Megapixel Rated Lens

Fujinon CF8ZA-1S | 1.1" 8mm C-Mount Manual Iris 23 Megapixel Rated Lens


Regular price $605.75 USD
Regular price Sale price $605.75 USD
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Unlock Optical Excellence with Fujinon CF8ZA-1S

Product Spec Sheet

In the realm of machine vision and industrial imaging solutions, the Fujinon CF-ZA-1S Series stands as a beacon of excellence. Engineered with meticulous precision and cutting-edge technology, these lenses redefine optical performance in the most demanding environments. With support for 1.2" type sensors and boasting a pixel pitch equivalent to 24 mega-pixels, these lenses ensure that every detail is captured with utmost clarity and precision.

One of the key highlights of the CF-ZA-1S Series is its "4D High Resolution" capability, maintaining uniform image quality from the center to the peripheral area. This ensures that no matter the shooting distance or aperture setting, the resolution remains uncompromised, delivering consistently high-quality images.

Designed to withstand the rigors of industrial applications, these lenses feature vibration and impact resistance, guaranteeing reliability even in harsh conditions. Furthermore, their compact design allows for seamless integration into any setup, maximizing space efficiency without sacrificing performance.

Ideal for a wide range of machine vision and industrial applications, including inspection systems and 3D scanning, the Fujinon CF-ZA-1S Series sets a new standard for optical excellence. Elevate your imaging capabilities and ensure unparalleled precision with these exceptional lenses.


  • High-resolution optics for unparalleled image quality
  • Support for 1.2" type sensors with 24 mega-pixel equivalent pixel pitch
  • "4D High Resolution" technology ensures uniform image quality from center to periphery
  • Vibration and impact resistance for reliability in harsh environments
  • Compact design for space-efficient integration


  • Inspection systems
  • 3D scanning
  • Robotics
  • Quality control
  • Object recognition
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