Qualicision® -Q -systems can be used as inspection systems in the field of active quality control.
Here an example from the automotive supplier industry: in a highly automated process, tires and rims are assembled to wheels, which are delivered directly to the vehicle assembly line. Before the tire-mounting machine, the tire and rim combination to be assembled next is checked to be the correct one regarding material flow indications. Probable mix-ups would generate considerable and avoidable consequential charges, as the wrong tire and rim combination has to be filtered out from the material flow in order to be sure that vehicles are equipped always with the wheels that correspond to them. Thus, the Qualicision® -solution performs a constant product quality check of the outgoing wheel.
In the above-given example of quality control during wheel assembly, Q-systems are able to check and recognize tires (by means of color string codes and profile information) and rims (by means of design characteristics). The information obtained is then compared with data from the PLC or the main computer referring to the expected tire and rim combination. In case the information differs, the system immediately communicates the problem.
Qualicision® -Q -systems feature a special training module, which allows online-adaptations to product fluctuations or quality variations.
The F/L/S Fuzzy Image-Analysis tools may be integrated into the Common Vision Blox (CVB) Concept of Stemmer Imaging GmbH at Puchheim, Germany.
The image analysis software CVB is aimed at creating a worldwide standard platform for image- analysis applications. Common Vision Blox interfaces as well as data formats are open, so any company of the image-analysis branch has the possibility to place their own tools on the CVB basis. The constantly growing CVB-tool case offers perfect solutions for any kind of technical problems!
Qualicision® systems monitoring production processes are used for quality control, as, for instance, image processing vision systems. Characteristically, these Qualicision® systems can be trained in an interactive process based upon quantitative and qualitative test piece parameters (teach-in). As teach-in is done by programming of test piece shnapshots it is possible to develop Qualicision® systems whose knowledge and reference databases can be enlarged without any further source code programming, only by entering optic images of new test pieces.
This leads to a considerable reduction of software adaption costs when confronting the system with new or modified control tasks. Users are now able to train the solution using new test piece images and to adapt the reference database all on their own.