Multi-Model Machine Learning based Industrial Vision Tool for Assembly Part Quality Control

Jun 3, 2023

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Creating a visual inspection tool in the automotive industry can be challenging due to having many different types of defects, including ones we have not seen before. Physical setup constraints, importance of missed defects and subjectivity of labels adds even more complexity to this task. I will illustrate all this on a Valeo project, which is aimed at helping the operator detect bad sensors on the production line using visual information. To tackle this complex problem we have combined different computer vision models, extracting features from the segmented anomaly map alongside with the supervised classifier score and using them for the final classification.

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