Automatic capturing and analysis of manual manufacturing processes with minimal setup effort
Sönke Knoch, Frederic Kerber, Vladimir Pavlov, Shreeraman Ponpathirkoottam · 2016
The ongoing development of industrial manufacturing towards more individualization and smaller lot sizes opens up a new range of challenges. Not only do the processes in the factories need adaptation, but the workers need more support as well. We showcase a system that is able to address both aspects: an instrumentation of a manual workplace provides direct feedback for planning engineers, while at the same time acquiring data that is helpful for giving the worker feedback. Within this demo we focus on bi-manual picking and assembly processes observed by a lightweight optical recognition system enhanced by ultrasonic sensors, but also give an outlook on other possible modules.