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The aim of a research project was to develop a system for the analysis, processing and addressing of data flows of process-integrated 3D-measurements of magnesium workpieces for car body construction and its prototypical application. By applying optical measuring methods for quality control and using object-specific measurement for process control, considerable savings of energy and other resources can be achieved in automotive engineering. The QM standards for measuring systems for forming processes in the automotive sector place high demands on accuracy and measuring speed. By using multi-camera systems, clock rates of less than 10 seconds and accuracies of 30-40 μm over the entire measuring range can be guaranteed. The modular design of a system facilitates process integration due to the relatively low effort required for different manufacturing tasks. The performance analysis of the measuring system and the process landscape design were carried out.

Total quality is becoming increasingly important for competitiveness. In order to achieve high quality, the requirements must be continuously compared with the results achieved in the process. This is done by means of measurement parameters and comparative values. The acquisition of the data requires appropriate measurement methods. The measurement methods and procedures have to be constantly developed in order to measure more precisely and to generate an even higher quality. Thus, the achieved product quality can be determined absolutely and relatively. If deviations from the planned quality parameters occur, the operator will be able to intervene immediately. The presented procedure is one of the noncontact (optical) measurement methods using CMMs, 3D scanners and 3D cameras. It is a combination of stereo photography and photogrammetry.