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LM5JC1M

Kowa LM5JC1M 2/3" 5mm 2MP C-Mount Lens Compatible With OnSemi Python500, e2v EV76C570 and Aptina MT9M131 sensors and many more

Kowa LM5JC1M 2/3" 5mm 2MP C-Mount Lens Compatible With OnSemi Python500, e2v EV76C570 and Aptina MT9M131 sensors and many more

SKU:LM5JC1M

Regular price $418.00 USD
Regular price Sale price $418.00 USD
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Kowa LM5JC1M 2/3" 5mm 2MP C-Mount Lens: Optimal Vision Solutions

Product Spec Sheet

In the realm of machine vision and industrial applications, precision and reliability are paramount. Enter Kowa, a trusted name synonymous with cutting-edge optics. The Kowa LM5JC1M 2/3" 5mm 2MP C-Mount Lens stands as a pinnacle of excellence in the field. Boasting megapixel resolution, this lens series harnesses Kowa's innovative floating mechanism design, ensuring exceptionally high image clarity and detail.

The LM5JC1M lens, specifically engineered for compatibility with OnSemi Python500, e2v EV76C570, Aptina MT9M131 sensors, and more, caters to diverse industrial needs. Its low distortion, under 0.5%, coupled with a super wide-angle optical design, guarantees a large field of view without compromising image integrity. Moreover, its resilience to vibration and shock renders it operational even in the harshest environments, making it an ideal choice for industrial settings.

With Kowa's commitment to excellence, customers can expect clear resolution not only at the center but also across the entire image frame. Additionally, the lens's high transmission capability ensures optimal performance even in low-light conditions, delivering unparalleled results in machine vision applications.

Elevate your machine vision system with Kowa LM5JC1M, where precision meets reliability, setting the standard for optimal vision solutions in the industrial landscape.

Features:

  • High precision aspherical lens
  • Wide angle optical design
  • Resistant to vibration and shock
  • Low distortion, under 0.5%
  • Ideal for megapixel cameras
  • High transmission for dark lighting conditions

Applications:

  • Automated inspection
  • Quality control
  • Robotics
  • Surveillance
  • Object recognition
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