​Product Overview​

The SICK GL6-P4111 is a ​retro-reflective photoelectric sensor​ from the G6 miniaturized series, designed for reliable object detection in industrial automation. Featuring a visible red PinPoint LED, polarized filter, and a compact housing (12 × 31.5 × 21 mm), it achieves a detection range of up to 6 m. With IP67 protection, M8 connector, and PNP output, it is suited for packaging, logistics, and material handling applications where precise alignment and resistance to environmental interference are critical .

​Technical Specifications​

​Key Features​

1. ​High-Visibility PinPoint LED: The red light source provides a bright, focused spot (Ø 8 mm at 350 mm), enabling easy alignment and accurate detection of small objects .

2. ​Polarized Filter for Reliability: Eliminates false triggers from reflective surfaces by only accepting light reflected from a compatible reflector, ensuring stable operation in complex environments .

3. ​Compact and Durable Design: The IP67-rated housing withstands dust, moisture, and mechanical stress. Embedded metal threads allow secure mounting in high-vibration applications .

4. ​Easy Configuration: Large potentiometer for sensitivity adjustment and bright LED status indicators simplify setup and maintenance. Light/dark operation modes are selectable via a switch .

5. ​SICK ASIC Technology: Integrated proprietary circuitry enhances signal processing accuracy and immunity to ambient light interference, extending sensor lifespan .

​Application Scenarios​

• ​Logistics and Conveyor Systems: Detects package presence, position, or gaps on conveyor belts in warehouses and distribution centers .

• ​Packaging Machinery: Monitors material flow, verifies case sealing, or counts products in food, beverage, and pharmaceutical industries .

• ​Access Control and Safety: Used in gate systems or automated doors to detect object passage in public transportation or industrial zones .

• ​Automotive Assembly Lines: Ensures component positioning accuracy in robotic welding or painting processes .