Abstract
News editors obtained the following quote from the background information suppli ed by the inventors:“In the smart factory field, the number of cases of introdu cing machine learning or deep learning techniquesto improve work efficiency is increasing. As a representative example, manufacturers sometimes introducethis method for the purpose of speeding up and automating the determination of good/d efective products.This conventional method has a limitation in that it requires a data set containing labels to build a machinelearning model to determine goo d/defective products. Even when assuming the case of constructing amodel for an anomaly detection category, it is required to detect data in a normal category and performlabeling. From a manufacturer’s perspective, manual labeling of prod ucts through total inspection maybe a huge burden due to the volume and speed o f products being produced.
NETL
NSTL