Omron Fotoelektrický snímač, řada: E3FA Červená LED Válcovitý, výstup: NPN Difuzní IP67, IP69K

Omron E3FA Series Photoelectric Sensor, 300mm Detection Range, NPN Output Type - E3FA-DN22

This photoelectric sensor is designed for various industrial applications, featuring a cylindrical shape and a detection type that utilises diffuse methodology. With a detection range of 300mm, this NPN output sensor operates efficiently within a robust housing MADE of ABS. Capable of functioning effectively in extreme temperatures ranging from -25 to +55, it is an IP67 and IP69K rated component, ensuring durability and reliability even in challenging environments.

Features & Benefits

• Equipped with a red LED for effective Visual performance
  IP67 and IP69K ratings ensure protection against dust and moisture
  Fast response time of 0.5 ensures quick reaction to changes
  M18 threaded sensor design for easy installation and integration

Applications

• Used for precise object detection in conveyor systems
  Ideal for packaging machinery requiring accurate monitoring
  Utilised in automation processes where space is constrained
  Employed in production lines for quality control measures
  Suitable for safety needing reliable sensing

What are the environmental resistance features of this product?

The robust design with an IP67 and IP69K rating offers resistance against dust and high-pressure water jets, making it Ideal for harsh industrial environments.

How can the response time of this sensor enhance operational efficiency?

The 0.5 response time enables quick data transmission, which optimises the performance of automated systems by reducing delays in detection and processing.

What installation considerations should be taken into account?

The M18 threaded configuration allows for straightforward mounting while ensuring secure fitment in various machinery setups, accommodating diverse installation needs.

In what ways does the light/dark switching capability benefit users?

This functionality allows for flexible application in different tasks, notably in environments where contrasting backgrounds may affect detection accuracy, ensuring reliable functionality.