Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/1566
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dc.contributor.authorYıldız, İ.-
dc.contributor.authorKaya, A.-
dc.contributor.authorGedik, M.A.-
dc.contributor.authorBarstuğan, M.-
dc.date.accessioned2021-12-13T10:41:33Z-
dc.date.available2021-12-13T10:41:33Z-
dc.date.issued2021-
dc.identifier.issn1613-0073-
dc.identifier.urihttps://hdl.handle.net/20.500.13091/1566-
dc.description4th International Conference on Recent Trends and Applications in Computer Science and Information Technology, RTA-CSIT 2021 -- 21 May 2021 through 22 May 2021 -- -- 169296en_US
dc.description.abstractThis study detected the defected chocolate packages by image processing methods and separated them from the conveyor by a robotic arm. In the system, it was assumed that a conveyor belt system was set at the output of the packaging machine. The products transferred from the packaging machine to the conveyor were photographed in real-time from a fixed point with a camera while the conveyor belt was operating. The packages in the images acquired were classified as non-defected / defected. When improperly packaged chocolate is detected, the robot arm separated the product from the conveyor belt. The proposed method can detect the packaging performance of the machine with the camera quality control system and ensure that the necessary improvements can be made depending on the machine's performance. In this way, the performance of the produced packaging machine can be increased. © 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).en_US
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştirma Kurumuen_US
dc.description.sponsorshipThis project was supported by TÜBİTAK (The Scientific and Technological Research Council of Turkey) 2209A Research Funding Program for University Students.en_US
dc.language.isoenen_US
dc.publisherCEUR-WSen_US
dc.relation.ispartofCEUR Workshop Proceedingsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject1 Image processingen_US
dc.subjectMachine performance detectionen_US
dc.subjectQuality controlen_US
dc.subjectRobotic armen_US
dc.titleSeparation of defected products from production line with a robotic arm via image processing methodsen_US
dc.typeConference Objecten_US
dc.identifier.scopus2-s2.0-85107886099en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.identifier.volume2872en_US
dc.identifier.startpage129en_US
dc.identifier.endpage135en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.authorscopusid57224548327-
dc.authorscopusid57224542394-
dc.authorscopusid57224540341-
dc.authorscopusid57200139642-
dc.identifier.scopusquality--
item.languageiso639-1en-
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.openairetypeConference Object-
item.grantfulltextembargo_20300101-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.dept02.04. Department of Electrical and Electronics Engineering-
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
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