Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.13091/1566
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yıldız, İ. | - |
dc.contributor.author | Kaya, A. | - |
dc.contributor.author | Gedik, M.A. | - |
dc.contributor.author | Barstuğan, M. | - |
dc.date.accessioned | 2021-12-13T10:41:33Z | - |
dc.date.available | 2021-12-13T10:41:33Z | - |
dc.date.issued | 2021 | - |
dc.identifier.issn | 1613-0073 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.13091/1566 | - |
dc.description | 4th International Conference on Recent Trends and Applications in Computer Science and Information Technology, RTA-CSIT 2021 -- 21 May 2021 through 22 May 2021 -- -- 169296 | en_US |
dc.description.abstract | This 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.sponsorship | Türkiye Bilimsel ve Teknolojik Araştirma Kurumu | en_US |
dc.description.sponsorship | This project was supported by TÜBİTAK (The Scientific and Technological Research Council of Turkey) 2209A Research Funding Program for University Students. | en_US |
dc.language.iso | en | en_US |
dc.publisher | CEUR-WS | en_US |
dc.relation.ispartof | CEUR Workshop Proceedings | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | 1 Image processing | en_US |
dc.subject | Machine performance detection | en_US |
dc.subject | Quality control | en_US |
dc.subject | Robotic arm | en_US |
dc.title | Separation of defected products from production line with a robotic arm via image processing methods | en_US |
dc.type | Conference Object | en_US |
dc.identifier.scopus | 2-s2.0-85107886099 | en_US |
dc.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
dc.identifier.volume | 2872 | en_US |
dc.identifier.startpage | 129 | en_US |
dc.identifier.endpage | 135 | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.authorscopusid | 57224548327 | - |
dc.authorscopusid | 57224542394 | - |
dc.authorscopusid | 57224540341 | - |
dc.authorscopusid | 57200139642 | - |
dc.identifier.scopusquality | - | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | embargo_20300101 | - |
item.languageiso639-1 | en | - |
item.openairetype | Conference Object | - |
item.fulltext | With Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
crisitem.author.dept | 02.04. Department of Electrical and Electronics Engineering | - |
Appears in Collections: | Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections |
Files in This Item:
File | Size | Format | |
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paper17.pdf Until 2030-01-01 | 1.79 MB | Adobe PDF | View/Open Request a copy |
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