Photoelectric Proximity Sensor Infrared LED IP67 Rated Variant-119 SICK
The Photoelectric Proximity Sensor is designed for precise object detection in industrial automation
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- Functional principle: Photoelectric proximity sensor (energetic)
- Sensing range: 2 mm to 300 mm (optimal 2 mm to 45 mm)
- Light source: Infrared LED, 850 nm wavelength
- Number of beams: 3 with 135 mm beam separation
- Response time: ≤ 1 ms
- Switching frequency: 500 Hz
- Supply voltage: 10 V DC to 30 V DC
- Current consumption: 15 mA at 24 V
- Output type: PNP digital output, max 100 mA
- Protection class: III
- Enclosure rating: IP67
- Operating temperature: -40 °C to +60 °C
- Material: Anodised aluminum housing, PMMA front screen, PVC cable
- Dimensions (H x L x W): 20mm x 17mm x 540mm
- Weight: 0.2 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 135 mm separation
- IP67 rated enclosure for robust environmental protection
- Operating temperature range from -40 °C to +60 °C
- LED indicators for power and object detection status
- Response time ≤ 1 ms and switching frequency up to 500 Hz
- Reverse polarity, overcurrent, and short-circuit protected outputs
- Installation by a qualified technician or electrician is recommended to ensure proper connection and compliance with safety standards.
- 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
- Energy-efficient LED light source with long service life reduces power consumption and waste
- Durable IP67 housing minimizes environmental impact by extending product lifespan
Standard manufacturer warranty applies; please refer to SICK's official warranty policy.
The SICK RSB1-0540C135135PZ0BS06ZZZ Photoelectric Proximity Sensor is available for immediate purchase, ideal for industrial automation and object detection applications.
