Photoelectric Proximity Sensor Background Suppression Infrared LED Variant-1 SICK
The Photoelectric Proximity Sensor with background suppression is designed for precise object detection in industrial automation.
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- Functional principle: Photoelectric proximity sensor with background suppression
- Sensing range: 4 mm to 15.5 mm (typical), max 19 mm
- Light source: Infrared LED, wavelength 850 nm
- Switching output: PNP, light switching mode
- Supply voltage: 10 V DC to 30 V DC
- Current consumption: 20 mA
- Output current max: ≤ 50 mA
- Response time: < 0.6 ms
- Switching frequency: 800 Hz
- Connection type: 3-wire cable, 2 m length, PVC material
- Housing material: Plastic ABS, optics material: Plastic PMMA
- Enclosure rating: IP67
- Operating temperature: -25°C to +50°C
- Storage temperature: -40°C to +75°C
- Weight: 33.7 g
- Dimensions (H x L x W): 22mm x 14mm x 8mm
- Weight: 0.1 kg
- Photoelectric proximity sensor with background suppression
- Rectangular plastic housing with infrared LED light source
- Sensing range from 4 mm to 15.5 mm, max 19 mm
- High switching frequency of 800 Hz and fast response time under 0.6 ms
- IP67 rated enclosure for dust and water protection
- Cable connection with 3-wire, 2 m PVC cable
- Operating temperature range from -25°C to +50°C
- Installation by a qualified technician or electrician is recommended to ensure proper wiring and sensor alignment for optimal performance.
- Detecting small objects in industrial automation
- Object presence detection in manufacturing lines
- Precision sensing in packaging and material handling
- Complies with AS/NZS 3000 – Wiring Rules (Electrical Installation)
- Low power consumption with 20 mA current draw
- Durable IP67 rated housing reduces waste from replacements
- Complies with China-RoHS for hazardous substance restrictions
Standard manufacturer warranty applies. Please refer to SICK's official warranty policy for details.
The SICK GTB2S-P1301S10 Photoelectric Proximity Sensor is available for immediate purchase, ideal for industrial automation and precise object detection applications.
