Photoelectric Proximity Sensor Infrared LED IP67 Rated Variant-67 SICK
The Photoelectric Proximity Sensor is designed for industrial automation, featuring an infrared LED light source and a robust IP67-rated housing.
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- Supply voltage: 10 V DC to 30 V DC
- Current consumption: 8 mA without load at 24 V
- Output type: PNP open collector, light/dark switching
- Output current max: ≤ 100 mA
- Response time: ≤ 1 ms
- Switching frequency: 500 Hz
- Protection: Reverse polarity, overcurrent, short-circuit
- Enclosure rating: IP67
- Operating temperature: -40 °C to +60 °C
- Shock resistance: 30 g, 11 ms
- Vibration resistance: 10 Hz to 55 Hz, amplitude 1 mm
- Dimensions (H x L x W): 17mm x 310mm x 20mm
- Weight: 0.113 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
- Two beams with 104 mm beam separation
- LED indicators for power and object presence
- 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
- Protection class III with reverse polarity, overcurrent, and short-circuit protection
- Installation by qualified personnel 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
- AS/NZS 3000 – Wiring Rules (Electrical Installation)
- Energy-efficient LED light source with long service life of 100,000 hours
- Durable construction reduces waste and replacement frequency
- Complies with China-RoHS environmental standards
Standard manufacturer warranty applies; please refer to SICK's official warranty policy.
The SICK RSB1-0310B104103HK4CZZZP0A Photoelectric Proximity Sensor is available for immediate purchase, ideal for industrial automation and object detection applications.
