Method, apparatus and system for closed-loop control of a manufacturing process
AssigneeCambridge Enterprise Limited
InventorsDouglas Antony James BRION, Sebastian William PATTINSON
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Abstract
Broadly speaking, embodiments of the present techniques provide a method, apparatus and system for automatically detecting and correcting errors in manufacturing parameters of a manufacturing process using closed-loop control. Advantageously, the present techniques not only monitor manufacturing parameters but also provide instructions to enable any unacceptable variation in a manufacturing parameter to be corrected during the manufacturing process.
Claims25
A computer-implemented method for closed-loop control of a manufacturing process, the method comprising:
- receiving, at predefined time intervals during the manufacturing process, at least one image of the manufacturing process;
- processing, using a trained machine learning, ML, model, the at least one image at each time interval to predict a value of at least one manufacturing parameter associated with the manufacturing process;
- determining whether the predicted value of the at least one manufacturing parameter is within a predefined range of values;
- and
- generating instructions for corrective action when the predicted value is outside the predefined range of values.
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12-17. (canceled)
A system for closed-loop control of a manufacturing process, the system comprising:
- an apparatus for performing the manufacturing process, the apparatus comprising:
- at least one image capture device for capturing at least one image of the manufacturing process at predefined time intervals;
- and
- a communication module for transmitting the at least one image for processing;
- and
- a remote server comprising at least one processor coupled to memory and arranged to:
- receive the at least one image of the manufacturing process from the apparatus;
- process, using a trained machine learning, ML, model, the at least one image at each time interval to predict a value of at least one manufacturing parameter associated with the manufacturing process;
- determine whether the predicted value of the at least one manufacturing parameter is within a predefined range of values;
- and
- generate instructions for corrective action when the predicted value is outside the predefined range of values.
(canceled)
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A computer-implemented method for training a machine learning, ML, model to enable closed-loop control of a manufacturing process, the method comprising:
- obtaining a training dataset comprising a plurality of images of the manufacturing process, wherein each image is labelled with a plurality of manufacturing parameters associated with the manufacturing process and a timestamp;
- training a machine learning, ML, model by:
- inputting images from the training dataset into the ML model;
- processing, using the ML model, an input image to identify one of the manufacturing parameters;
- predicting, using the ML model, a value of each manufacturing parameter for the input image;
- comparing the predicted values with the labels of the image;
- and
- updating the ML model to reduce a difference between the predicted values and the labels of the image.
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Dependencies are inferred from the claim text.