Patent ID: 11922301
Assignee: SAMSUNG ELECTRONICS CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 17:
18. A system for classifying manufactured parts as good or defective, the system comprising:
a data collection circuit; and
a processing circuit,
the processing circuit being configured to:
form a first training dataset and a second training dataset from a labeled input dataset, wherein in forming the first training dataset, the processing circuit is further configured to:
oversample the labeled input dataset to produce a first supplementary dataset; and
combine the labeled input dataset and the first supplementary dataset to form the first training dataset;
train a first classifier with the first training dataset;
train a variational auto encoder with the second training dataset, the variational auto encoder comprising an encoder and a decoder;
generate a third dataset, by feeding pseudorandom vectors into the decoder, the decoder generating an output based on the pseudorandom vectors, wherein the third dataset is generated based on the output;
label the third dataset, using the first classifier, to form a third training dataset;
form a fourth training dataset based on the third training dataset; and
train a second classifier with the fourth training dataset.