Photoelectric Sensor, Thin style PC housing, Light on, NPN, convergent reflection, sensing distance 5mm to 30mm, 2m 3-wire cable

Item # PXPEESL-X30NO
Availability
10
Price Table
Quantity Price
1 - 9 $141.89
10 - 24 $136.21
25 - 99 $130.54
100 + Call Us
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Description

The L-com PXPEESL-X30NO is a photoelectric sensor developed to determine the proximity, absence, or presence of an item using a light transmitter. This sensor uses convergent reflective as a detection method and has a PC housing. The convergent reflective sensor has a thin design, an LED indicator, and a single NPN output.

This PXPEESL-X30NO IoT sensor is IP67 protected and has a 2.5m*2m 3-wire connecting cable. The photoelectric proximity sensor has a 3mm to 8mm sensing distance, which allows users to count, inspect objects, and detect their presence and position without physical contact. This convergent reflective sensor has a L.on switch type and is ideal for confined spaces.

The PXPEESL-X30NO proximity sensor has an industry-standard form factor and high repeatability. This NPN IoT sensor with 2.5m*2m 3-wire connecting cable has fast response time, which allows it to detect small objects. The photoelectric sensor has competitive pricing and high performance, which makes it suitable for warehouse automation, discrete manufacturing, food and beverage, packaging, robotics, automotive, material handling, OEM machine building, and high-volume production industries.

L-com has the largest in-stock selection of thin design photoelectric sensors with same-day shipping for domestic and international orders. We currently have a variety of IoT products in our portfolio that are ready to ship today. For further information on similar products, our expert technical support and knowledgeable sales team can help you get the high-quality convergent reflective proximity sensor with NPN output for your requirements.


Features
  • Thin housing design for confined spaces
  • Fast response time
  • LED status indicator
  • IP67 protection
Application
  • Manufacturing
  • Automotive
  • Food and Beverage
  • Warehouse Automation
  • Robotics