SMART TERMINAL AND ERROR PART DETECTING METHOD REGARDING WORKING PROCESS IN THE SMART TERMINAL AND WORKING PROCESS AUTOMATIC RECORDIMG SERVER USING MACHINE LEARNING ALGORITHEM AND WORKING PROCESS AUTOMATIC RECORDIMG METHOD BY USING THE MACHINE LEARNING ALGORITHEM AND DATA COMMUNICATING SYSTEM BETWEEN THE SMART TERMINAL AND THE SERVER

摘要

According to an embodiment of the present invention, a method for discriminating work process abnormality in a smart terminal may comprise the steps of: generating current image data photographed in connection with a work process of a worker; receiving standard behavior data generated by applying pre-recorded image data to a learning model on which machine learning is performed; automatically calculating a matching rate by comparing the current image data with the standard behavior data; and determining whether the current image data is abnormal based on the matching rate.