Photoelectric Retro-Reflective Sensor GL10-N1551 Dual Lens System IP67 Enclosure SICK
The Photoelectric Retro-Reflective Sensor GL10-N1551 is designed for reliable object detection in industrial automation.
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- Functional principle: Photoelectric retro-reflective sensor with dual lens system
- Sensing range max: 0.15 m to 12 m
- Sensing range typical: 0.3 m to 9.5 m
- Light source: PinPoint LED, wavelength 625 nm
- Supply voltage: 10 V DC to 30 V DC
- Current consumption: 20 mA
- Switching output: NPN, max output current ≤ 100 mA
- Response time: ≤ 1 ms
- Switching frequency: 500 Hz
- Connection: 3-wire cable, 2 m length, PVC insulation
- Protection class: III
- Housing material: Plastic ABS/PMMA
- Enclosure rating: IP67
- EMC standard: EN 60947-5-2
- Operating temperature: –30 °C to +60 °C
- Storage temperature: –40 °C to +70 °C
- Certifications: UL File No. NRKH.E348498 & NRKH7.E348498, UL325, China-RoHS, cULus
- Dimensions (H x L x W): 50mm x 39mm x 20mm
- Weight: 0.1 kg
- Photoelectric retro-reflective sensor with dual lens system for minimum distance to reflector
- Visible red light with PinPoint LED light source
- High functional reliability on foil-wrapped objects
- Polarizing filter included
- Enclosure rating IP67 for dust and water protection
- Operating temperature range from –30 °C to +60 °C
- Response time ≤ 1 ms and switching frequency 500 Hz
- Installation should be performed by qualified personnel familiar with photoelectric sensor wiring and safety standards.
- Industrial automation for object detection
- Detecting objects wrapped in film
- Use in environments requiring high functional reliability on foil-wrapped objects
- AS/NZS 60950 – Safety of IT and Communication Equipment
- Energy-efficient LED light source reduces power consumption
- Durable IP67 housing extends product life, reducing waste
Standard manufacturer warranty applies; please refer to SICK for specific warranty terms.
The SICK GL10-N1551 Photoelectric Retro-Reflective Sensor is available for immediate purchase, ideal for industrial automation and object detection applications.
