Key Parameters
Parameter Specification
Product Type Polarized Retro-Reflective Photoelectric Sensor
Order Code ICR620E-H12503
Operating Principle Retro-reflective with polarization filter
Sensing Range Up to 8 meters (8000 mm)
Light Source Visible red light (LED)
Adjustment Teach-In button (for one-point teaching of sensitivity)
Output Type DC 3-wire
Output Configuration NPN, Normally Closed (NC)
Supply Voltage 10 - 30 V DC
Current Consumption max. 40 mA (without load)
Switching Current max. 100 mA
Connection Type Fixed PVC cable, 2 m length
Cable Color Code Brown: +V (L+)
Blue: 0V (L-)
Black: Output
Housing Material Plastic (PBT)
Protection Rating IP67
Indicator LEDs Green: Power (LED)
Yellow: Switching Status
Operating Temperature -25 °C to +55 °C
Approvals / Certifications CE, cULus
Functional Features
Long-Range Detection: Capable of sensing objects at distances up to 8 meters.

Polarization Filter: Enables reliable detection of reflective and transparent objects without false signals.

NPN Normally Closed (NC) Output: Provides a signal when the beam is uninterrupted (no object). This logic is often used for safety-related or fail-safe monitoring applications.

Teach-In Functionality: Simplifies setup. Pressing the button with the target object present teaches the sensor the optimal switching point.

High Immunity to Ambient Light: Stable performance in environments with changing light conditions.

Robust Housing: IP67 protection ensures reliability in dusty or wet conditions.

Typical Applications
Safety & Guarding: Monitoring safety doors or guards. The circuit is broken (safe state) when the door is opened and the beam is broken.

Break-to-Make Detection: Applications where an object's presence is the normal state, and its absence needs to be signaled as an event or fault.

Slack Loop Control: Monitoring for a break in material (e.g., paper, fabric) on a production line.

Shiny Object Detection: Reliably sensing metallized packages, aluminum cans, or foil-wrapped products on packaging lines, using NC logic.

Transparent Object Detection: Detecting the absence of glass bottles or containers in beverage processing.