Electronics Journal | 05 - July 2022

Page 24

IDS IMAGING DEVELOPMENT SYSTEMS

THE IDS SOLUTION FOR LARGE LAUNDRY Intelligent robotics for laundries closes automation gap.

T

he textile and garment industry is facing major challenges with current supply chain and energy issues. The future recovery is also threatened by factors that hinder production, such as labour and equipment shortages, which put them under additional pressure. The competitiveness of the industry, especially in a global context, depends on how affected companies respond to these framework conditions. One solution is to move the production of clothing back to Europe in an economically viable way. Shorter transport routes and the associated significant savings in transport costs and greenhouse gases speak in favour of this. On the other hand, the related higher wage costs and the prevailing shortage of skilled workers in this country must be compensated. The latter requires further automation of textile processing. The German deep-tech start-up sewts GmbH from Munich has focused on the great potential that lies in this task. It develops solutions with the help of which robots – similar to humans – anticipate how a textile will behave and adapt their movement accordingly.

05 - Electronics Journal - JULY 2022

24

The German deep-tech start-up sewts GmbH from Munich has focused on the great potential that lies in this task. It develops solutions with the help of which robots – similar to humans – anticipate how a textile will behave and adapt their movement accordingly. In the first step, sewts has set its sights on an application for large industrial laundries. With a system that uses both 2D and 3D cameras from IDS Imaging Development Systems GmbH, the young entrepreneurs are automating one of the last remaining manual steps in large-scale industrial laundries, the unfolding process. Although 90% of the process steps in industrial washing are already automated, the remaining manual operations account for 30% of labour costs. The potential savings through automation are therefore enormous at this point.


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