Kowa LM50JCM-WP 2/3" Ruggedized Waterproof 50mm 2MP Lens Compatible With OnSemi Python500, e2v EV76C570 and Aptina MT9M131 sensors and many more

Unveiling Kowa LM50JCM-WP Lens: Precision and Durability for Industrial Imaging

In the fast-paced world of industrial imaging and machine vision, clarity, precision, and durability are paramount. Introducing the Kowa LM50JCM-WP 2/3" Rugged Waterproof 50mm 2MP Lens, engineered to meet the rigorous demands of industrial applications. This lens stands as a testament to Kowa's commitment to innovation and excellence in the field of machine vision lenses.

Crafted with meticulous attention to detail, the Kowa LM50JCM-WP lens boasts compatibility with a range of sensors, including the OnSemi Python500, e2v EV76C570, and Aptina MT9M131, ensuring versatility and adaptability across various imaging systems. Its ruggedized construction is designed to withstand harsh environments with strong vibrations and shocks, making it an ideal choice for industrial settings where reliability is paramount.

Featuring an IP67 waterproof rating in combination with suitable cameras, this lens offers unparalleled protection against dust and water ingress, ensuring consistent performance even in challenging conditions. The C-mount design with manual iris control allows for precise adjustments to achieve optimal image quality.

Whether it's automated inspection systems, robotics, quality control in manufacturing, object recognition, or surveillance applications, the Kowa LM50JCM-WP lens delivers exceptional results with its high-resolution imaging capabilities. Elevate your industrial imaging experience with the Kowa LM50JCM-WP lens and unlock new possibilities in machine vision technology.

Features:

• Compatible with OnSemi Python500, e2v EV76C570, and Aptina MT9M131 sensors
• Ruggedized and waterproof (IP67)
• Vibration and shock-resistant design
• C-mount with manual iris control
• Fixed focal lens for high-resolution imaging

Applications:

• Automated inspection systems
• Robotics and automation
• Quality control in manufacturing
• Object recognition and tracking
• Surveillance and security systems

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