SAS4 Safety Sensor 12 Infrared Beams IP65 Rated SICK
The SICK SAS4 Safety Sensor features 12 parallel infrared beams with a minimum detectable object size of 45 mm
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- Sensor principle: Sender/receiver
- Minimum detectable object: 45 mm
- Number of beams: 12
- Detection height: 440 mm
- Light source: Infrared light at 950 nm wavelength
- Supply voltage: DC 24 V ± 20%
- Power consumption receiver: ≤ 70 mA
- Output current max: 100 mA
- Switching output: NPN
- Response time: 19 ms
- Operating range: 3 m
- Maximum range: 4 m
- Enclosure rating: IP65
- Connection type: Cable with M8 male connector, 4-pin
- Housing material: PMMA
- Shock resistance: 10 g / 16 ms
- Vibration resistance: 5 g, 10 Hz to 55 Hz
- Ambient operating temperature: -25 °C to +55 °C
- Dimensions (H x L x W): 512mm x 8mm x 25mm
- Weight: 0.1 kg
- 12 parallel infrared light beams with 45 mm minimum detectable object size
- Slim optical light exit design
- NPN switching output with 100 mA max output current
- IP65 rated enclosure for dust and water protection
- LED indication for operational status
- Automatic teach inactive, muting function deactivated
- Shock resistance up to 10 g and vibration resistance up to 5 g
- Optical synchronization between sender and receiver
- Professional installation by a qualified technician or electrician is recommended to ensure proper alignment, connection, and compliance with safety standards.
- Industrial automation for object detection
- Safety light curtain applications
- Machine guarding and access control
- Material handling and packaging systems
- Complies with AS/NZS 60950 – Safety of IT and Communication Equipment
- Low power consumption with DC 24 V supply voltage
- Durable PMMA housing reduces need for frequent replacements
- Robust design minimizes electronic waste through extended operational life
Standard manufacturer warranty applies. Please refer to SICK's official warranty policy for details.
The SICK SAS4-S044N3PS1W00 sensor is available for immediate purchase, ideal for industrial safety and automation applications requiring reliable object detection.
