Photoelectric Retro Reflective Sensor 1.3m SICK
SICK Photoelectric Retro Reflective Sensor features 1.3m and PNP. Ideal for object detection on production lines.
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- Functional principle: Photoelectric retro-reflective sensor
- Sensing range: 0 m to 1.3 m (max 2 m without reflector)
- Light source: LED, visible red light, 640 nm wavelength
- Light spot size: Ø 2 mm at 90 mm distance
- Adjustment: Potentiometer, 5 turns
- Angle of dispersion: Approx. 5°
- Supply voltage: 10 V DC to 30 V DC
- Current consumption: 30 mA
- Output type: PNP, light/dark switching
- Output current max: ≤ 100 mA
- Response time: ≤ 330 µs
- Switching frequency: 1,500 Hz
- Protection class: III
- Housing: Metal with plastic PMMA front screen
- Connection: Male M12, 4-pin
- Enclosure rating: IP66, IP67, IP69K
- Operating temperature: -40 °C to +60 °C
- Dimensions (H x L x W): 49mm x 42mm x 16mm
- Weight: 0.12 kg
- Photoelectric retro-reflective sensor with autocollimation/coaxial optics
- Sensing range up to 1.3 m, max 2 m without reflector
- Polarisation filter included
- Visible red LED light source with 640 nm wavelength
- Focused optics for precise detection
- Light/dark switching with PNP digital output
- High switching frequency of 1,500 Hz
- Robust metal housing with IP66, IP67, and IP69K protection ratings
- Operating temperature range from -40 °C to +60 °C
- Installation by a qualified electrician or technician is recommended to ensure proper setup and compliance with electrical standards.
- Industrial automation for object detection
- Small object detection in manufacturing lines
- Safety and monitoring in production environments
- AS/NZS 3000 – Wiring Rules (Electrical Installation)
- Energy-efficient LED light source reduces power consumption
- Durable construction minimizes waste and replacement frequency
Standard manufacturer warranty applies; please refer to SICK's official warranty policy.
The SICK WL12-3P2451 Photoelectric Retro-Reflective Sensor is available for immediate purchase, ideal for industrial automation and object detection applications.
