RGB LED Sensor Industrial Proximity Sensor IP67 Rated SICK
The RGB LED Sensor is designed for industrial automation and object detection, featuring a robust IP67 rated enclosure for dust and water resistance.
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- Supply voltage: 10.8 V DC to 28.8 V DC
- Current consumption: < 100 mA
- Switching frequency: 50 kHz
- Response time: 10 µs
- Output type: PNP with max output current 100 mA
- Light source: LED RGB with wavelengths 470 nm, 525 nm, 625 nm
- Light emission: Long side of housing
- Light spot size: 5.3 mm x 1.2 mm
- Connection type: Male M12, 4-pin connector
- Protection: Reverse polarity, short-circuit, interference pulse suppression
- Operating temperature: -20 °C to +60 °C
- Storage temperature: -25 °C to +75 °C
- Enclosure rating: IP67
- Shock resistance: 30 g/11 ms per IEC 60068-2-27
- Dimensions (H x L x W): 53mm x 79mm x 30mm
- Weight: 0.1 kg
- Standard device type with large housing design
- LED light source with RGB colors (470 nm, 525 nm, 625 nm)
- Sensing distance up to 25 mm with ±6 mm tolerance
- Light/dark switching output function
- Adjustable delay time
- 1-point and 2-point teach-in modes, dynamic teach-in, and auto mode
- Protection class III with reverse polarity and short-circuit protection
- IP67 rated enclosure for dust and water resistance
- Shock load resistant according to IEC 60068-2-27 (30 g/11 ms)
- Installation by qualified personnel recommended to ensure proper electrical connections and compliance with safety standards.
- Industrial automation and control
- Object detection and positioning
- Safety and monitoring in manufacturing processes
- Complies with AS/NZS 60950 – Safety of IT and Communication Equipment
- Low power consumption with less than 100 mA current draw
- Durable IP67 rated housing reduces environmental impact by extending product life
- Complies with China-RoHS for hazardous substance restrictions
Warranty details available upon request from manufacturer.
The SICK KTX-WP92241242ZZZZ RGB LED Sensor is available for immediate purchase, ideal for industrial automation and object detection applications.
