Photoelectric Proximity Sensor Infrared LED IP67 Rated Variant-54 SICK
The Photoelectric Proximity Sensor is designed for precise object detection, featuring an infrared LED light source with a sensing range of 2mm to 300mm.
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- Supply voltage: 10 V DC to 30 V DC
- Current consumption: 25 mA without load at 24 V
- Output type: PNP open collector, light/dark switching
- Maximum output current: 100 mA
- Response time: ≤ 1 ms
- Switching frequency: 500 Hz
- Protection class: III
- LED risk group: Free group
- Cable diameter: 3.6 mm
- Cable length: 300 mm
- Housing material: Anodised aluminum
- Front screen material: PMMA plastic
- Connector: M12, 4-pin
- Dimensions (H x L x W): 17mm x 615mm x 20mm
- Weight: 0.223 kg
- Photoelectric proximity sensor with energetic functional principle
- Sensing range from 2 mm to 300 mm, optimal performance between 2 mm and 45 mm
- Infrared LED light source with 850 nm wavelength
- Point-shaped light spot size 27 mm x 29 mm at 45 mm distance
- Six beams with 50 mm separation
- LED indicators for power and object presence
- Robust metal aluminum anodised housing with plastic front screen
- IP67 rated enclosure for dust and water protection
- Operating temperature range from -40 °C to +60 °C
- Shock resistance up to 30 g and vibration resistance 10 Hz to 55 Hz
- Cable with M12 4-pin connector, 300 mm length
- Installation by a qualified technician or electrician is recommended to ensure proper connection and compliance with safety standards.
- Detecting flat objects
- Detecting perforated objects
- Detecting objects with position tolerances
- Detecting uneven, shiny objects
- AS/NZS 60950 – Safety of IT and Communication Equipment
- Long LED service life of 100,000 hours reduces waste and replacement frequency
- Energy-efficient LED technology minimizes power consumption
Standard manufacturer warranty applies; please refer to SICK for specific warranty terms.
The SICK RSB1-0615F050183HK4CZZZP0A Photoelectric Proximity Sensor is available for immediate purchase, ideal for industrial automation and object detection applications.
