Photoelectric Proximity Sensor Infrared Detection IP67 Rated SICK
The Photoelectric Proximity Sensor is designed for precise object detection in industrial automation
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- Supply voltage: 10 V DC to 30 V DC
- Current consumption: 15 mA without load at 24 V
- Switching frequency: 500 Hz
- Response time: ≤ 1 ms
- Output type: 2 complementary push-pull outputs (PNP/NPN)
- Protection class: III
- Circuit protection: Reverse polarity, overcurrent, short-circuit protected
- Operating temperature: -40 °C to +60 °C
- Storage temperature: -40 °C to +75 °C
- Enclosure rating: IP67
- LED risk group: Free group
- Beam shape: Point-shaped infrared light spot 27 mm x 29 mm at 45 mm distance
- Material: Anodised aluminum housing, PMMA front screen, PVC cable
- Dimensions (H x L x W): 17mm x 420mm x 20mm
- Weight: 0.153 kg
- Photoelectric proximity sensor with energetic functional principle
- Sensing range from 2 mm to 300 mm, optimal 2 mm to 45 mm
- Infrared LED light source with 850 nm wavelength
- Three beams with 105 mm separation for precise detection
- LED indicators for power and object presence status
- Robust metal aluminum anodised housing with PMMA front screen
- IP67 rated enclosure for dust and water protection
- High shock resistance (30 g) and vibration resistance
- Cable with M8 4-pin connector, 300 mm length
- Installation should be performed by qualified personnel familiar with electrical and sensor systems to ensure proper wiring and configuration.
- Industrial automation for object detection
- Detecting flat, perforated, uneven, and shiny objects
- Position tolerance detection in manufacturing processes
- 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 terms.
The SICK RSB1-0420C105105AB3CZZZP0A Photoelectric Proximity Sensor is available for immediate purchase, ideal for industrial automation and object detection applications.
