Kowa LM16HC-V 1" Ruggedized 16mm 5MP C-Mount Lens Compatible With Sony IMX174, CMOSIS CMV4000 and Sony IMX249 sensors and many more

Discover the Versatile Kowa LM16HC-V 16mm 5MP C-Mount Lens

Product Spec Sheet

At USA Security Systems Inc., we introduce the Kowa LM16HC-V 1" Ruggedized 16mm 5MP C-Mount Lens, meticulously engineered for industrial and machine vision applications. This lens stands as a testament to optical precision and durability, offering compatibility with sensors featuring a pixel size from 5.0μm, including the Sony IMX174, CMOSIS CMV4000, and Sony IMX249. Its ruggedized design ensures resilience in environments with strong vibrations and shocks, making it ideal for challenging industrial settings where reliability is paramount.

With manual iris control and a versatile F1.4 / F2.8 / F4 / F8 iris range, users can make precise adjustments tailored to their specific imaging needs. The lens's VIS wavelength range further extends its applicability across various industries, enhancing its versatility and usability. Whether deployed in Intelligent Transportation Systems (ITS), traffic control, manufacturing quality control, robotics, medical imaging, or object recognition and tracking, the Kowa LM16HC-V lens delivers uncompromising image quality and reliability.

Engineered to withstand the rigors of industrial environments while providing exceptional imaging capabilities, this lens empowers systems to achieve new levels of efficiency and accuracy. Elevate your industrial vision systems with the Kowa LM16HC-V 16mm 5MP C-Mount Lens and experience the difference in performance and reliability.

Features:

• Ruggedized design for vibration and shock resistance
• Manual iris control with versatile F1.4 / F2.8 / F4 / F8 iris range
• Compatible with Sony IMX174, CMOSIS CMV4000, and Sony IMX249 sensors
• High-resolution 16mm 5MP lens for precise imaging
• VIS wavelength range for versatile applications

Applications:

• Intelligent Transportation Systems (ITS) and Traffic Control
• Manufacturing quality control
• Robotics and automation
• Medical imaging
• Object recognition and tracking