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PNS75-034

PNS75-034
PNS75-034
  • Brand: Sick
  • Model: PNS75-034
The SICK PNS75-034 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**: 50 mm to 500 mm, adjustable based on application needs. - **Output Type**: Digital output (NPN or PNP), configurable for various control systems. - **Response Time**: < 1 ms, allowing for rapid detection and processing of moving objects. - **Resolution**: 0.1 mm, ensuring high precision in measurement tasks. - **Operating Voltage**: 10 to 30 V DC, compatible with a wide range of industrial power supplies. - **Current Consumption**: < 30 mA, ensuring low power usage. - **Housing Material**: Robust plastic housing with IP67 protection rating, suitable for harsh industrial environments. - **Temperature Range**: -10 °C to +60 °C, allowing operation in various environmental conditions. - **Connection Type**: M12 connector for easy integration into existing systems.### Features: - **Adjustable Sensitivity**: The sensor allows for sensitivity adjustments to cater to different object types and surface conditions. - **LED Indicator**: Integrated LED status indicator for easy monitoring of operational status and alignment. - **Compact Design**: Small footprint for easy installation in tight spaces. - **Versatile Mounting Options**: Can be mounted in various orientations to suit application requirements.### Applications: The PNS75-034 is ideal for applications such as: - Object counting and sorting in conveyor systems. - Positioning and alignment tasks in robotic systems. - Measurement of object dimensions in quality control processes.Overall, the SICK PNS75-034 is a reliable and versatile sensor that enhances automation processes through its advanced detection capabilities.

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