In companies of the hospitality industry, such as restaurants, hotels, and bed and breakfasts, large quantities of bed linen, table linen, and towels accumulate daily, which are processed in commercial laundry facilities. After washing, the textiles have to be folded neatly and accurately. Industrial folding machines are used for folding, stacking, and sorting the laundry automatically.
During the folding process, the laundry has to be reliably detected to ensure a smooth process. As the fabrics are transported flat on the conveyor belt in the folding machine, the sensor has to be installed inside the flat conveyor. Due to the particularly limited space available, the sensor has to have a very small dead band. It has to be able to detect the reflective tape at a distance of 50 mm to 80 mm. In addition, the machine processes a variety of nonuniform textiles where the material to be detected differs in color and reflectivity. Sometimes even fabrics with very low reflectivity are processed.
The ML100-54-F retroreflective sensor with polarization filter is the ideal solution for this task. The sensor is mounted above the conveyor belt and points at the reflective tape, which has been attached to the conveyor belt below, over which the textiles are transported. The specially developed optics of the sensor reduce the dead band on reflective tape from more than 100 mm to only 20 mm. In comparison, the dead band of conventional standard retroreflective sensors is more than 100 mm to the reflector. With this particularly small dead band, the ML100 series retroreflective sensor can therefore be used at distances that are not possible with conventional retroreflective sensors.
Technical Features:
The sensor with specially developed optics is just as economical as a standard retroreflective sensor. In addition, mounting and aligning the ML100 series are simplified by a red emitter LED and integrated all-metal threaded bushings. The switching states are also easily visible from all directions due to the highly visible LEDs.
We and our partners are using technologies like cookies and process personal data like the IP-address or browser information in order to personalize the advertising that you see. This helps us to show you more relevant ads and improves your internet experience. We also use it in order to measure results or align our website content. Because we value your privacy, we are herewith asking for your permission to use these technologies. You can always change/withdraw your consent later by clicking on the settings button on the left lower corner of the page.
Please select the group of cookies and scripts, that you consent to.
Contact Us
Your technical, product, or application questions answered by our team of experts.