Photoelectric Proximity Sensor WTT2SL-2N1192 Background Suppression IP67 Rated SICK
The WTT2SL-2N1192 Photoelectric Proximity Sensor is designed for precise object detection in industrial automation
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- Functional principle: Photoelectric proximity sensor with background suppression
- Sensing range: 50 mm to 800 mm
- Light source: Infrared laser, wavelength 940 nm
- Laser class: 1
- Adjustment: Single teach-in button
- Supply voltage: 10 V DC to 30 V DC
- Current consumption: 20 mA
- Switching output: NPN, light/dark switching
- Output current max: ≤ 50 mA
- Response time: Typical 90 ms
- Switching frequency: 5 Hz
- Protection class: III
- Enclosure rating: IP67
- Housing material: Plastic (MABS ABS)
- Optics material: Plastic (PMMA)
- Connection: 4-wire cable, 2 m length, PVC insulated
- Dimensions (H x L x W): 27.5mm x 13.5mm x 7.7mm
- Weight: 0.1 kg
- Photoelectric proximity sensor with background suppression
- Rectangular housing design with infrared laser light source
- Sensing range from 50 mm to 800 mm
- Laser class 1 safety rating
- Single teach-in button for easy adjustment
- IP67 rated enclosure for dust and water protection
- NPN switching output with light/dark switching mode
- Low current consumption of 20 mA
- Response time typically 90 ms
- Operating temperature range from -25°C to +50°C
- Installation should be performed by qualified personnel familiar with photoelectric sensor wiring and safety standards to ensure proper operation and compliance.
- Industrial automation for detecting small objects
- Background suppression sensing in manufacturing lines
- Optical time-of-flight measurement applications
- Complies with AS/NZS 4801 – Occupational Health & Safety Management Systems
- Low power consumption reduces energy usage
- Durable IP67 housing extends product life and reduces waste
Standard manufacturer warranty applies. Please refer to SICK's official warranty policy for details.
The SICK WTT2SL-2N1192 Photoelectric Proximity Sensor is available for immediate purchase, ideal for industrial automation and object detection applications.
