Photoelectric Proximity Sensor Background Suppression & V-optics IP67 Rated SICK
The Photoelectric Proximity Sensor with background suppression and V-optics is designed for precise object detection in industrial automation.
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- Functional principle: Photoelectric proximity sensor with background suppression, V-optics
- Sensing range: 4 mm to 30 mm
- Light source: Visible blue LED, 445 nm wavelength
- Light spot size at 10 mm distance: 2 mm x 3 mm
- Supply voltage: 10 V DC to 30 V DC
- Current consumption: 20 mA
- Switching output: PNP, light switching mode
- Maximum output current: ≤ 50 mA
- Response time: < 0.5 ms
- Switching frequency: 1000 Hz
- Connection: Cable with M8 male connector, 4-pin, 2 m length
- Cable material: Plastic, PVC
- Housing material: Plastic, ABS/PC
- Optics material: Plastic, PMMA
- Enclosure rating: IP67
- Operating temperature range: -25 °C to +50 °C
- Storage temperature range: -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 and V-optics
- Visible blue light LED with wavelength of 445 nm
- Sensing range from 4 mm to 30 mm
- Preset 14 mm on black with V-optics
- Fast response time under 0.5 ms and switching frequency of 1000 Hz
- IP67 rated enclosure for dust and water protection
- Cable with M8 male connector, 4-pin, 2 m length
- Professional installation by a qualified technician or electrician is recommended to ensure proper sensor setup and safety compliance.
- Detecting small objects
- Detecting uneven, shiny objects
- Detecting objects wrapped in film
- Detecting transparent objects
- Complies with 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
Standard manufacturer warranty applies. Please refer to SICK's official warranty policy for details.
The SICK WTV2S-2P3285S45 Photoelectric Proximity Sensor is available for immediate purchase, ideal for industrial automation and object detection applications.
