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dc.creatorNedeljković, Dušan
dc.creatorJakovljević, Živana
dc.date.accessioned2022-09-19T19:10:03Z
dc.date.available2022-09-19T19:10:03Z
dc.date.issued2020
dc.identifier.urihttps://machinery.mas.bg.ac.rs/handle/123456789/3448
dc.description.abstractHigh product variety imposed to manufacturing companies by contemporary market requires efficient adaptation of production, which leads to the application of Reconfigurable Manufacturing Systems (RMS). These systems are based on rapid and effective reconfiguration of manufacturing equipment that can be achieved only through high-level interoperability of the multi-vendor devices. OPC-UA (Open Platform Communication - Unified Architecture) as a platform-independent standard provides semantic interoperability and secure machine to machine communication and represents a basis for RMS development. In this paper, we illustrate how OPC-UA can be employed for integration of smart devices into legacy control system using an example of electropneumatic manipulation system and smart vision sensor. The smart vision sensor consists of a camera augmented by RaspberryPi platform that utilizes an image classification method based on convolutional neural networks (CNN).en
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relationinfo:eu-repo/grantAgreement/ScienceFundRS/AI/6523109/RS//
dc.rightsrestrictedAccess
dc.source28th Telecommunications forum TELFOR 2020 - Proceedings, Serbia, Belgrade, November 24-25, 2020
dc.subjectReconfigurable Manufacturing Systemsen
dc.subjectOPC-UAen
dc.subjectIndustry 4.0en
dc.subjectConvolutional Neural Networksen
dc.titleIntegration of Smart Vision Sensor into Manipulator Control System using OPC-UAen
dc.typeconferenceObject
dc.rights.licenseARR
dc.citation.rankM33
dc.identifier.doi10.1109/TELFOR51502.2020.9306524
dc.identifier.scopus2-s2.0-85099879634
dc.identifier.wos000666945500027
dc.type.versionpublishedVersion


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