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Photometric stereo sensor for robot-assisted industrial quality inspection of coated composite material surfaces

Eva Weigl, Sebastian Zambal, Matthias Stöger, Christian Eitzinger

Year
2015
Citations
7

Abstract

While composite materials are increasingly used in modern industry, the quality control in terms of vision-based surface inspection remains a challenging task. Due to the often complex and three-dimensional structures, a manual inspection of these components is nearly impossible. We present a photometric stereo sensor system including an industrial robotic arm for positioning the sensor relative to the inspected part. Two approaches are discussed: stop-and-go positioning and continuous positioning. Results are presented on typical defects that appear on various composite material surfaces in the production process.

Keywords

Computer visionComputer scienceProcess (computing)RobotArtificial intelligenceStereo camerasStereo cameraVisual inspectionComposite numberAutomated X-ray inspection

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