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Application example
In automated automobile production, it is important to check whether the correct fuel hoses and clamps have been installed. The components are to be checked with the aid of a vision sensor.
Due to the varying positions of the vehicles, the vision sensor must be able to recognize the components from different perspectives. Furthermore, the parts are limp, which makes position tracking with classic methods (based on contour or pattern comparison) more difficult.
The VISOR® Object AI vision sensor reliably differentiates between the various hose and clamp types. By assigning a few example images to each class, the AI-based detector "Classification (AI)" automatically learns to distinguish between the different types. Variations in the position of the vehicle can be shown to the detector and it learns the necessary features.
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