Photoelectric Retro-Reflective Sensor IP67 & IP69K Rated Dual Lens System SICK
The Photoelectric Retro-Reflective Sensor HL18G-P4A3BL is designed for precise object detection in industrial automation.
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Alternatively Known As: Photoelectric sensor, Retro-reflective sensor, Object detection sensor, SICK HL18G sensor
- Supply voltage: 10 V DC to 30 V DC
- Current consumption: ≤ 20 mA
- Switching output: PNP complementary, light/dark switching
- Response time: ≤ 0.5 ms
- Switching frequency: 1000 Hz
- Connection: Male M12, 4-pin connector
- Housing material: Plastic VISTAL®
- Optics material: Plastic PMMA
- Enclosure rating: IP67, IP69K
- Operating temperature: -40 °C to +70 °C
- Weight: 18 g
- Light source: PinPoint LED, visible red light, 631 nm wavelength
- Special features: AutoAdapt, signal strength light bar, polarizing filter
- Dimensions (H x L x W): 49mm x 32mm x 16mm
- Weight: 0.1 kg
- Photoelectric retro-reflective sensor with dual lens system
- Visible red light PinPoint LED with 631 nm wavelength
- Sensing range from 0.1 m to 2.5 m (max 3 m)
- AutoAdapt feature for signal strength optimization
- Light/dark switching with complementary PNP outputs
- Robust plastic VISTAL® housing with IP67 and IP69K protection
- Operating temperature range from -40 °C to +70 °C
- EMC compliant with EN 60947-5-2 standard
- Installation by a qualified technician or electrician is recommended to ensure proper wiring and sensor alignment for optimal performance.
- Industrial automation for object detection
- Detecting transparent objects in manufacturing
- Use in harsh environments requiring IP67/IP69K protection
- AS/NZS 3000 – Wiring Rules (Electrical Installation)
- Low power consumption with ≤ 20 mA current draw
- Durable housing reduces waste through extended product life
- Complies with China RoHS for hazardous substance restrictions
Standard manufacturer warranty applies; please refer to SICK for specific warranty terms.
The SICK HL18G-P4A3BL Photoelectric Retro-Reflective Sensor is available for immediate purchase, ideal for industrial automation and object detection applications.
