Omron Fotoelektrik Sensör, Yayınımlı Algılama Aralığı: 1 m, PNP, Stil: Silindir, IP67, IP69K

Omron E3F Series Photoelectric Sensor, 1m Detection Range, PNP Output - E3FADP132M

This photoelectric sensor is a robust barrel-style device designed for efficient detection in demanding environments. With a detection range of up to 1m, this PNP output sensor is ideal for a variety of automation applications. Built to withstand tough conditions, it features an IP67/IP69K rating, ensuring functionality even in harsh environments and is made from durable ABS housing.

Features & Benefits

• Quick and easy installation with pre-wired cable
• High EMC protection ensures minimal interference
• Fast response time of 500μs enhances system efficiency
• Versatile application with diffuse detection mode
• Compact M18 threaded design fits various installations

Applications

• Used in the food and beverage industry for object detection
• Suitable for textile and ceramics manufacturing processes
• Implemented in logistics for package detection and sorting
• Utilised in high-pressure cleaning environments due to its robust housing
• Effective in detecting transparent objects with tailored models

What makes this sensor ideal for harsh environments?

The sensor is constructed with a durable ABS housing and is rated IP67/IP69K, enabling it to withstand water, dust, and high-pressure cleaning, ensuring reliable performance in extreme conditions.

How does it perform in bright lighting conditions?

The high light immunity feature allows effective operation in environments with intense lighting, such as direct sunlight or artificial sources, preventing false triggering and ensuring accurate detection.

What type of electrical connection is used?

It comes with a pre-wired cable for straightforward connection to your control systems, reducing installation time and complexity.

Is it suitable for detecting various materials?

Yes, tailored models within the series excel at detecting a range of materials, including transparent and shiny surfaces, thanks to specific detection technologies designed for such tasks.