dc.contributor.author | Semeniuta, Oleksandr | |
dc.contributor.author | Dransfeld, Sebastian | |
dc.contributor.author | Falkman, Petter | |
dc.date.accessioned | 2017-05-31T08:32:54Z | |
dc.date.available | 2017-05-31T08:32:54Z | |
dc.date.created | 2017-01-06T14:29:34Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | IEEE International Conference on Automation Science and Engineering. 2016, 2016-November 549-554. | nb_NO |
dc.identifier.issn | 2161-8070 | |
dc.identifier.uri | http://hdl.handle.net/11250/2443951 | |
dc.description.abstract | The use of vision systems for industrial robot guidance and quality control becomes much harder when the manufactured products and their components are small and possess reflective surface. To assure an effective automated visual inspection of such components, novel solutions are required, able to perform more advanced image analysis and tackle noise and uncertainty. This paper proposes a concept of multi-camera/multi-pose inspection station for star washers inspection, and presents the first results of a functional prototype implementation of it in a robotic cell. The processes of vision-guided part picking from a flexible feeder and close-range inspection in a dedicated rig are described. Solutions for the vision-based tasks of parts identification, machine learning-based classification, circular objects image analysis and star washer teeth segmentation are presented, and further directions are outlined. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | IEEE | nb_NO |
dc.title | Vision-based robotic system for picking and inspection of small automotive components | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | acceptedVersion | |
dc.source.pagenumber | 549-554 | nb_NO |
dc.source.volume | 2016-November | nb_NO |
dc.source.journal | IEEE International Conference on Automation Science and Engineering | nb_NO |
dc.identifier.doi | 10.1109/COASE.2016.7743452 | |
dc.identifier.cristin | 1422458 | |
dc.description.localcode | © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This is the authors' accepted and refereed manuscript to the article. | nb_NO |
cristin.unitcode | 194,18,25,21 | |
cristin.unitname | Seksjon for elektro og maskin | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |