HANNOVER MESSE 2019,
01 - 05 April
Optical quality control goes beyond good/bad-decisions. PROFACTOR develops control systems that learn from human decision making. Machine learning for machine vision systems is of growing importance to deal with the variability of industrial production. Learning systems are particularly required in the field of surface inspection and quality control. The final goal is to proceed from the detection of defective parts to avoiding defects by closing the feedback loop to the production process. PROFACTOR has developed the following inspection systems: H-Scan - Inspection of Inner Surface Quality of Holes F-Scan - Measurement of Fibre Orientation on Composite Parts L-Scan - Inline Control for AFP Processes D-Scan - Quality Control of High-Gloss Surfaces TP-Scan - Inspection of Metallic Surfaces
In the project ShowMe we develop with a partner of the automotive industry a virtual and intelligent assistance system for assembly tasks. It serves to increase ...
Flexibility and Interoperability is becoming - in addition to price and quality strategies - an increasingly important competitive factor. Overall objective of this ...
The industry is dependent on robotic solutions that can not only cope with new variants of a task in a flexible manner, but can also fulfill a wide range of tasks. ...
Which production step is the individual employee currently in? How does he/she act at assembly stations and workbenches and with what strategy does he/she solve ...