Defined characteristics
Geometric features, positions and completeness are assessed using application-specific test methods.
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A good inspection result starts long before the algorithm. We develop image acquisition, evaluation and integration as a coherent system.
01 / Image acquisition
We match the camera, optics and lighting to component geometry, material and inspection feature. The decisive factor is that a relevant feature becomes reliably visible in the image data.
Several perspectives open up complex components. Defined lighting creates reproducible recording conditions. QBIC Wheels combines these principles with a particularly high image information density.


02 / Image analysis
Classical image processing and AI complement each other. The selection depends on the characteristic, variants and available reference parts.
Geometric features, positions and completeness are assessed using application-specific test methods.
Deep learning supports the evaluation of variable appearances. Representative image data and unique error classes form the basis.
Performance is validated using agreed reference parts. The assessment covers detected defects as well as conforming parts that are incorrectly rejected.
03 / Automation
The inspection result is part of a production process. Handling, communication and operation are therefore considered from the outset.
04 / System design
Which surface should be tested? How small are the relevant characteristics? Which variants, cycle times and environmental conditions does the system have to control?
These questions determine the technical structure. Together, we define inspection scope, interfaces and acceptance criteria.
Look at suitable solutionsTechnology in use
See how image capture, AI evaluation and line integration work together in the surface inspection of aluminum wheels.
Explore the inspection system →