Photoelectric Proximity Sensor Infrared LED IP67 Rated Variant-123 SICK
The Photoelectric Proximity Sensor is designed for industrial automation, featuring an infrared LED light source and a sensing range from 2mm to 300mm.
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- Supply voltage: 10 V DC to 30 V DC
- Current consumption: 38 mA at 24 V
- Output type: 1 PNP digital output, max 100 mA
- Response time: ≤ 1 ms
- Switching frequency: 500 Hz
- Protection class: III
- Circuit protections: Reverse polarity, overcurrent, short-circuit
- Operating temperature: -40 °C to +60 °C
- Storage temperature: -40 °C to +75 °C
- Enclosure rating: IP67
- Shock resistance: 11 ms shocks per EN60068-2-27
- Vibration resistance: 10 Hz to 55 Hz, amplitude 1 mm
- Dimensions (H x L x W): 17mm x 700mm x 20mm
- Weight: 0.254 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
- Point-shaped light spot size 27 mm x 29 mm at 45 mm distance
- 8 beams with 85 mm beam separation
- 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
- Operating temperature range from -40 °C to +60 °C
- High shock and vibration resistance
- Cable with M12 4-pin connector, 150 mm length
- Installation by qualified personnel is recommended to ensure proper electrical connections and sensor alignment.
- Industrial automation for object detection
- Detecting flat, perforated, uneven, and shiny objects
- Position tolerance detection in manufacturing processes
- Complies with 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 RSB1-0700H085055FP4BZZZZZZ photoelectric proximity sensor is available for immediate purchase, ideal for industrial automation and object detection applications.
