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