A deep learning-based worker assistance system for error prevention: Case study in a real-world manual assembly

URN:NBN:SI:DOC-4YUX7EH62021Brehm, N.Dietsch, M.Engelmann, F.Gerlach, J.Herbst, S.Pfeifroth, T.Riedel, A.documents/doc/4/URN_NBN_SI_doc-4YUX7EH6_001.pdfdocuments/doc/4/URN_NBN_SI_doc-4YUX7EH6_001.txt164articlestr. 393-40410.14743/apem2021.4.4081854-6250270430979URN:NBN:SI:doc-4YUX7EH6engFakulteta za strojništvo, Inštitut za proizvodno strojništvoAdvances in production engineering and managementBYassistance systemdeep learningerror preventiongloboko učenjeIndustrija 4.0Industry 4.0machine learningmanual assemblyobject detectionodkrivanje objektovpametna proizvodnjapreprečevanje napakročna montažasmart manufacturingstrojno učenjeA deep learning-based worker assistance system for error prevention: Case study in a real-world manual assembly