A computer implemented method for quality control of packages produced in a roll-fed packaging machine using machine learning

A quality control apparatus for quality control of packages produced in a roll-fed packaging machine, the quality control apparatus comprising circuitry configured to execute:

• an obtaining function configured to obtain, from an image data capturing device, image data depicting at least a portion of a package;
• in response to the roll-fed packaging machine being in an autonomous mode, the circuitry is further configured to execute:
• a first determining function configured to determine a quality measurement of the package by inputting the image data into a machine learning model, such as a neural network;
• a second determining function configured to determine an action to be performed, based on the quality measurement,
• a communication function configured to communicate the action to a control system of the roll-fed packaging machine,
• a third determining function configured to determine a performance metric of the machine learning model based on the quality measurement of the package and quality measurements of previously assessed packages, and,
• a first assigning function configured to assign the mode of the roll-fed packaging machine to a re-training mode if the performance metric is outside a performance metric interval;
• in response to the roll-fed packaging machine being in the re-training mode, the circuitry is further configured to execute:
• a re-training function configured to collect the image data as training data for the machine learning model and re-training the machine learning model using the training data, and
• a second assigning function configured to assign the mode of the roll-fed packaging machine to the autonomous mode.