ARTIFICIAL INTELLIGENCE DEVICE AND OPERATION METHOD THEREOF

Abstract

An artificial intelligence device according to an embodiment of the present disclosure may comprise a memory and a processor for: training a binary classifier which infers whether a patch is a positive patch or a negative patch by using positive patches indicating normality and negative patches indicating abnormality on the basis of a normal sample indicating a non-defective product and an unlabeled sample; when the reliability of a patch output in response to a patch of a new unlabeled sample input to the trained binary classifier is greater than or equal to threshold reliability, determining the input patch as a positive patch; and storing the determined positive patch in the memory.