Photoelectric Proximity Sensor WTV2S-2N1320 Background Suppression IP67 Rated SICK
The WTV2S-2N1320 Photoelectric Proximity Sensor is designed for precise object detection, featuring background suppression and a high-speed response time of under
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- 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: < 0.5 ms
- Switching frequency: 1,000 Hz
- Connection: 4-wire cable, 2 m length, PVC material
- Cable diameter: 3 mm
- 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
- Light source: PinPoint LED, 640 nm wavelength
- Light spot size: Ø 2 mm at 15 mm distance
- Dimensions (H x L x W): 21.8mm x 13.5mm x 7.7mm
- Weight: 0.1 kg
- Photoelectric proximity sensor with background suppression and V-optics
- Rectangular housing design with visible red light
- PinPoint LED light source with 640 nm wavelength
- Sensing range from 4 mm to 30 mm
- Light/dark switching mode with NPN output
- High switching frequency of 1,000 Hz and response time under 0.5 ms
- 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.
- Detecting small objects
- Detecting uneven, shiny objects
- Detecting objects wrapped in film
- Detecting transparent objects
- AS/NZS 4801 – Occupational Health & Safety Management Systems
- Low power consumption with 20 mA current draw
- Durable IP67 rated housing reduces waste by extending product life
- Complies with China-RoHS for hazardous substance restrictions
Standard manufacturer warranty applies. Please refer to SICK's official warranty policy for details.
The SICK WTV2S-2N1320 Photoelectric Proximity Sensor is available for immediate purchase, ideal for industrial automation and object detection applications.
