Computer-implemented system and method for automated defect detection in sealings of composite packages

A system for automated defect detection in sealing bands of composite packages formed by a packaging machine, each sealing band being formed from a first band portion, a second band portion and a layer of heat seal material interposed between the first band portion and the second band portion the system comprising:

• a vision system configured to capture images of the sealing band during a sealing testing procedure;
• and
• an analysis unit operatively connected to the vision system and configured to analyze one or more images acquired by the vision system to determine the quality of the sealing band as a function of the one or more images,
• wherein the analysis unit comprises an artificial intelligence module configured to analyze the one or more images by a machine-learning model, to detect defects in the sealing band;
• the machine learning model having been trained with a training data set, including image data associated with quality measurement.