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In a joint research project, BMW, Micro-Epsilon and the Institute Forwiss 3D measurement system for rapid 3D shape measurement of reflective surfaces "Reflect control"Develops. For motorists, this is a milestone in the Quality assessment of surfaces. With the software-intensive inspection process can be detected significantly more errors than the paint, the human eye.
In September 2007 went Micro-Epsilon has a partnership with the BMW plant in Dingolfing and the Institute for Software Systems in technical applications of computer science (Forwiss Passau) of the University of Passau. Based on the Micro-Epsilon and the University of Passau developed up to this point deflectometry software for the joint research project was aimed at developing a new optical method for industrial quality control of reflective surfaces. The Bavarian Research Foundation funded the entire terminated two years Forso project.
Micro-Epsilon with very close ties to Forwiss was already well developed by the deflectometry measurement a suitable technology partner for the entire project. In the 3D measurement system for rapid detection of reflective surfaces 3D form sees the BMW plant in Dingolfing, a milestone in the quality assessment of surfaces. The object of the paint specialists, it was to provide, among other things, the necessary comparative data for the new system. An essential step in the development project and Forso advantage of technology from Micro-Epsilon is the possibility with this method also with the most accurate 3-dimensional recording of the paintwork ready. So in addition to the contact position on the vehicle and the lateral extent of a defect, the height or depth of the respective feature, with a resolution in the single digit micron range.
After several years of development, the system Reflect control is now used in the production lines of several car manufacturers. Up to four systems applied to robots, there control all bodies that pass through the measuring cell. To the measurement surface analysis in a further development step the mark and thus the visual identification of detected defects was implemented directly on the body. First uses the robotic measurement show that the software intensive inspection process to painted car bodies significantly more paint defects are detected as through the eye of the skilled worker. The time required for the test is to also significantly shorter with improved quality of testing.