HANNOVER MESSE 2018,
23 - 27 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 HolesF-Scan - Measurement of Fibre Orientation on Composite PartsL-Scan - Inline Control for AFP ProcessesD-Scan - Quality Control of High-Gloss SurfacesTP-Scan - Inspection of Metallic Surfaces
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. ...
Die Entwicklung der Software ReconstructMe im Jahr 2012 hat sich als
wichtiger Baustein zur Digitalisierung der Fabrik erwiesen. ReconstructMe
ist ein System zur ...
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 ...