Photoelectric Proximity Sensor | Background & Foreground Suppression | IO-Link Communication | IP66/IP67 Rated | by SICK
The Photoelectric Proximity Sensor WTM4SP-22161120A00 is designed for industrial automation, featuring advanced background and foreground suppression capabilities. With high-resolution distance measurement and IO-Link communication, it ensures precise object detection and monitoring in manufacturing processes. Built with a robust IP66/IP67 rated housing, this sensor is ideal for detecting uneven, shiny, and tilted objects, making it a reliable choice for various applications.
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- Dimensions (H x L x W): 41.9mm x 18.6mm x 12.1mm
- Weight: 0.1 kg
- Photoelectric proximity sensor with background and foreground suppression
- MultiMode operation including two-point teach-in and application select manual/measurement
- Adjustable switching thresholds for background and foreground suppression
- High resolution distance measurement with 0.1 mm resolution
- IO-Link communication for sensor parameter configuration and Smart Task functions
- Robust plastic VISTAL® housing with IP66/IP67 protection rating
- LED indicators for mode, output states, and object presence
- High shock and vibration resistance
- Long LED service life of 100,000 hours
- Installation by qualified personnel is recommended to ensure proper configuration and integration with IO-Link systems.
- Industrial automation for object detection
- Detection of uneven, shiny, poorly remitting, and tilted objects
- Measurement and monitoring in manufacturing processes
- AS/NZS 60950 – Safety of IT and Communication Equipment
- Energy-efficient LED light source reduces power consumption
- Durable design minimizes waste and replacement frequency
- Complies with environmental regulations including China-RoHS
Standard manufacturer warranty applies. Please refer to SICK's official warranty policy for details.
The SICK WTM4SP-22161120A00 Photoelectric Proximity Sensor is available for immediate purchase, ideal for industrial automation and precise object detection applications.
