Visual inspection is more than just making an accept/reject decision. PROFACTOR is developing inspection systems using machine vision and machine learning. The system learns to reproduce  human decision-making from sample data. This enables the flexible use of machine vision in small lot size production. The technolgoies provided by PROFACTOR aim at closing the feedback loop from  quality control to the process.

PROFACTOR is developing technologies for automatic inspection systems in the following fields:

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Dr. Christian Eitzinger
Head of Machine Vision

+43 7252 885 250

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Metallic Surfaces

The inspection of milled metallic surfaces has to solve the problem of distinguishing between real defects – such as pores – and other deviations – such as dirt or changes in colour. This is not possible with conventional 2D image acquisition that is only focused on grey values and i...

Composite Parts

Composite on carbon fibre parts are by definition inhomogeneous. Fibre orientations in the part vary depending on the design. Lightweight parts in the automotive or aerospace industry are often quite complex, 3-dimensional structures. Inspection of such parts has to deal with the reflectio...

3D-Assemblies (3D-Completeness Check)

Conventional 2D inspection system typically have difficulties when deal with complex assemblies whose completeness needs to be assessed. Flexible objects such as cable in front of the object often cause false alarms. 3D data provide the necessary information of depth, but lack colour or te...