Abstract: The present disclosure provides a surveillance device that monitors an operation section of an automated transaction device, the surveillance device including: a learning holding section that learns and holds a reference scene data set in which a reference operation is divided into a sequence of action items; a feature extraction section that extracts actual target action data from actual scene data of the sequence of action items in an operation of a user, the actual scene data obtained from an imaging section that faces and images the operation section; and a detection section that associates actual target action data with a reference scene data set along the sequence of action items, compares for each of the action items, determines an anomaly level of the operation of the user, and outputs an anomalous occurrence signal according to the anomaly level.

Abstract: The present disclosure provides a surveillance device that monitors an operation section of an automated transaction device, the surveillance device including: a learning holding section that learns and holds a reference scene data set in which a reference operation is divided into a sequence of action items; a feature extraction section that extracts actual target action data from actual scene data of the sequence of action items in an operation of a user, the actual scene data obtained from an imaging section that faces and images the operation section; and a detection section that associates actual target action data with a reference scene data set along the sequence of action items, compares for each of the action items, determines an anomaly level of the operation of the user, and outputs an anomalous occurrence signal according to the anomaly level.