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PNS 120-191A

PNS 120-191A
PNS 120-191A
  • Brand: Sick
  • Model: PNS 120-191A
The SICK PNS 120-191A is a high-performance photoelectric sensor designed for precise object detection and measurement in industrial automation applications. This sensor operates on the principle of triangulation and is equipped with a laser light source, which provides high accuracy and reliability in detecting objects at varying distances.### Key Technical Specifications: - **Type**: Photoelectric sensor (laser triangulation) - **Detection Range**: 30 mm to 1200 mm, allowing for versatile applications in different environments. - **Output Type**: Digital output (NPN or PNP), configurable for various control systems. - **Response Time**: Fast response time of < 1 ms, suitable for high-speed applications. - **Operating Voltage**: 10 to 30 V DC, compatible with standard industrial power supplies. - **Current Consumption**: Typically < 30 mA, ensuring low power usage. - **Housing Material**: Robust plastic housing (IP67 rated), providing protection against dust and water ingress. - **Temperature Range**: Operates effectively in temperatures from -10 °C to +50 °C, suitable for a wide range of industrial environments. - **Connection Type**: M12 connector for easy integration into existing systems. - **LED Indicators**: Integrated LED indicators for power and output status, facilitating easy troubleshooting and monitoring.### Applications: The PNS 120-191A is ideal for applications such as: - Object counting and presence detection in conveyor systems. - Positioning and alignment tasks in automated assembly lines. - Quality control processes where precise measurement is critical.### Additional Features: - Adjustable sensitivity settings to accommodate different materials and surface finishes. - Compact design for easy installation in tight spaces. - High immunity to ambient light interference, ensuring reliable operation in various lighting conditions.The SICK PNS 120-191A is a versatile and reliable solution for enhancing automation processes in manufacturing and logistics.

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