Photoelectric Retro-Reflective Sensor | IO-Link & ClearSens | 7.1m Sensing Range | IP66/IP67 Rated | by SICK
The Photoelectric Retro-Reflective Sensor is designed for industrial automation, featuring a sensing range of up to 7.1 meters and an IO-Link V1.1 interface for easy configuration. With its ClearSens technology and PinPoint LED, it excels in detecting transparent and film-wrapped objects, making it ideal for harsh environments. Built to withstand high shock and vibration, this sensor ensures reliable performance in demanding applications.
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Alternatively Known As: Photoelectric sensor, Retro-reflective sensor, SICK WLG4SP sensor, IO-Link photoelectric sensor
- Dimensions (H x L x W): 42mm x 19mm x 12mm
- Weight: 0.1 kg
- Photoelectric retro-reflective sensor with ClearSens and MultiMode
- Sensing range up to 7.1 m with recommended range 0-5 m
- PinPoint LED visible red light with 635 nm wavelength
- BluePilot teach-in button for sensitivity adjustment
- IO-Link V1.1 interface for sensor configuration and Smart Task functions
- LED indicators for alignment, operation, and object detection status
- High shock resistance (30 g) and vibration resistance (10 Hz to 1,000 Hz)
- IP66 and IP67 rated enclosure for dust and water protection
- Plastic VISTAL® housing with slim design
- Operating temperature range from -40 °C to +60 °C
- Installation by qualified personnel recommended to ensure proper alignment, wiring, and configuration via IO-Link.
- Industrial automation for object detection
- Detecting objects wrapped in film
- Detecting transparent objects
- Use in harsh environments requiring IP66/IP67 protection
- Complies with AS/NZS 60950 – Safety of IT and Communication Equipment
- Long LED service life of 100,000 hours reduces waste and replacement frequency
- Energy-efficient LED light source minimizes power consumption
Standard manufacturer warranty applies; please refer to SICK's official warranty policy.
The SICK WLG4SP-22162130A00 sensor is available for immediate purchase, ideal for industrial automation and object detection applications.
