EYENCEFU-35FA For Plastic Optical Fiber Sensing Application Solutions for Fiber Optic Sensor

The EYENCE FU-35FA plastic optical fiber sensing solution is designed specifically for industrial inspection scenarios, supporting high-precision plastic optical fiber sensing and compatible with distributed sensing cable interfaces such as the FRC-410. Featuring an EMI-resistant design and IP67 protection rating, it is suitable for use in strong electromagnetic environments and detecting small objects. Its black connector enhances durability and docking stability, allowing for seamless integration into automation systems. It is widely used in positioning, counting, and quality inspection scenarios in electronics manufacturing, packaging machinery, and the automotive industry, providing a high-speed, highly reliable sensing solution.


Specification
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Plastic Optical Fiber Sensing Adapter Solution


Model: EYENCE FU-35FA

Brand: EYENCE

Product Specifications:

Supports plastic optical fiber (POF) sensing, with core diameters from 0.5mm to 1.0mm.

Compatible with reflective and coaxial sensing modes.

Operating temperature: -25°C to +85°C, IP67 protection rating.

Response time: ≤0.5ms, adjustable sensing distance from 0.1mm to 5mm.

Compatible Models:

1. Panasonic FT-49, FD-66, FD-45G reflective sensors

2. Coaxial reflective fiber sensors type)

3. PIT46U and other distributed sensor optical cables

Features:

1. High resistance to electromagnetic interference, suitable for strong electromagnetic industrial environments

2. Flexible and bend-resistant, with long mechanical life

3. Plug-and-play, seamless integration with Panasonic series sensors

4. Built-in gain adjustment, adaptable to different reflective materials

Applications:

Applications for small parts detection, color mark recognition, and liquid level monitoring

Used for high-speed production lines and PCB positioning in the electronics manufacturing industry

Supports stable sensing in high-temperature and oily environments, such as injection molding machine mold monitoring