Photoelectric Proximity Sensor Infrared LED IP67 Rated Variant-79 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: 38 mA at 24 V DC without load
- Output type: 2 complementary push-pull outputs (PNP/NPN)
- Switching mode: Light/dark switching
- Output current max: ≤ 100 mA
- Protection: Reverse polarity, overcurrent, and short-circuit protected
- Response time: ≤ 1 ms
- Switching frequency: 500 Hz
- Enclosure rating: IP67
- Operating temperature: -40 °C to +60 °C
- Material: Anodised aluminum housing, PMMA front screen, PVC cable
- Cable length: 500 mm with 6-pin RJ12 connector
- Dimensions (H x L x W): 20mm x 17mm x 864mm
- Weight: 0.314 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 96 mm beam separation
- LED indicators for power and object detection status
- High switching frequency of 500 Hz and response time ≤ 1 ms
- Robust metal aluminum anodised housing with IP67 rating
- Wide ambient operating temperature range from -40 °C to +60 °C
- Cable with 6-pin RJ12 connector, 500 mm length
- Installation by a qualified electrician or technician is recommended to ensure proper wiring and compliance with safety standards.
- Industrial automation for object detection
- Detecting flat, perforated, uneven, and shiny objects
- Position tolerance detection in manufacturing processes
- AS/NZS 3000 – Wiring Rules (Electrical Installation)
- 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's official warranty policy for details.
The SICK RSB1-0864H096096ABADZZZP0A photoelectric proximity sensor is available for immediate purchase, ideal for industrial automation and object detection applications.
