SICK Background Suppression Distance Sensor, Block Sensor, 50 mm → 3.1 m Detection Range IO-LINK

SICK DS35 mid-range photoelectric distance sensor uses HDDM (high definition distance measurement) technology to ensure maximum reliability and accuracy for distance measurement detection. With highly reliable measurements on objects of different colours and textures, process reliability can be improved.

The DS35 photoelectric sensors are resistant to ambient light and unaffected by black or reflective objects. The distance sensor also features infrared and red light sensors ideal for various scenarios, whilst a broad range of control options guarantees easy commissioning and fast batch changes.

The DS35 photoelectric sensors are designed to enable intuitive set-up. Teach buttons and LED indicators located or the rear panel allow the operator to quickly and easily set the minimum and maximum distances. In addition, the IO-Link function offers full process control, from commissioning to service.

·Infrared or red emitted light in laser class 1 or 2
·Precise and reliable detection measurement regardless of object colour extends run time and process quality
·Small size and blind zone make flexible mounting possible when space is limited
·Flexible settings for speed, range and repeatability
·Flexible interface use: 4 mA to 20 mA, 0 V to 10 V, PNP output, NPN output, or IO-Link – making machine integration simple
·IO-Link offers full process control, from commissioning to service
·A wide variety of control options ensures rapid commissioning and fast batch changes
·3 Switching modes: Distance to Object (DtO), switching window, object between sensor and background (ObSB)

·The positioning or anti-collision monitoring of shuttles, industrial trucks, gantry cranes and traversing carriages.
·Reliable measurement and detection of extremely dark or glossy materials, e.g., in the automotive industry.
·Loading, empty bay or fill level monitoring in logistics applications.
·Measurement and detection of small objects at long distances, for example in manufacturing industries