Photoelectric Proximity Sensor WTB2S-2F3110 Background Suppression IP67 Rated SICK
The WTB2S-2F3110 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: 3 mm to 15 mm
- Light source: PinPoint LED, 640 nm wavelength
- Switching output: PNP, dark switching mode
- Supply voltage: 10 V DC to 30 V DC
- Current consumption: 20 mA
- Output current max: ≤ 50 mA
- Response time: < 0.4 ms
- Switching frequency: 1,200 Hz
- Connection type: Cable with M8, 3-pin connector, 200 mm length
- Cable material: Plastic, PVC
- Housing material: Plastic, ABS/PC
- Optics material: Plastic, PMMA
- Enclosure rating: IP67
- Operating temperature: -25°C to +50°C
- Storage temperature: -40°C to +75°C
- Dimensions (H x L x W): 21.8mm x 13.5mm x 7.7mm
- Weight: 0.1 kg
- Photoelectric proximity sensor with background suppression
- Rectangular housing design with visible red light
- PinPoint LED light source with 640 nm wavelength
- Sensing range from 3 mm to 15 mm
- Dark switching PNP output
- High switching frequency of 1,200 Hz
- IP67 rated enclosure for dust and water protection
- 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
- Manufacturing lines requiring precise object detection
- Quality control systems
- Packaging and material handling systems
- Complies with AS/NZS 4801 – Occupational Health & Safety Management Systems
- Energy-efficient LED light source reduces power consumption
- Durable IP67 housing minimizes environmental impact by extending product life
Standard manufacturer warranty applies. Please refer to SICK's official warranty policy for details.
The SICK WTB2S-2F3110 Photoelectric Proximity Sensor is available for immediate purchase, ideal for industrial automation and object detection applications.
