Tetra Laval Holdings & Finance S.a.

Bengt Ask

Johan Wendel

Henrik Forsbäck

A method of defect detection in packaging containers for liquid food is disclosed, where packaging containers are produced in a machine. The method comprises capturing image data of the packaging containers, defining image features in the image data representing defects in the packaging containers, associating the image features with different categories of defects, inputting the image features to a machine learning-based model for subsequent detection of categories of defects in packaging containers based on the image features, determining time stamps for the occurrence of defects in said subsequent detection, determining associated production parameters of the packaging containers in the machine for the occurrence of defects based on the time stamps, and correlating said occurrence and category of the defects with said production parameters. A system for defect detection in packaging containers is also disclosed.

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Lomma, Sweden

Bengt Ask