Decision Support System for Dimensional Inspection of Extruded Rubber Profiles
Since small and medium enterprises (SME) generate the most of gross domestic product and employment opportunities in developed countries, further progress of the Industry 4.0 strongly relies on the development of dedicated solutions for SMEs-specific problems. Dimensional inspection of extruded rubb...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8794594/ |
| _version_ | 1831539909207261184 |
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| author | Arso M. Vukicevic Marko Djapan Petar Todorovic Milan Eric Miladin Stefanovic Ivan Macuzic |
| author_facet | Arso M. Vukicevic Marko Djapan Petar Todorovic Milan Eric Miladin Stefanovic Ivan Macuzic |
| author_sort | Arso M. Vukicevic |
| collection | DOAJ |
| description | Since small and medium enterprises (SME) generate the most of gross domestic product and employment opportunities in developed countries, further progress of the Industry 4.0 strongly relies on the development of dedicated solutions for SMEs-specific problems. Dimensional inspection of extruded rubber profiles represents one such an open issue in the automotive industry, which currently requires a manual measurement and comparison of profiles' cross section with the corresponding technical drawings. Starting from the requirements acquired from the industry practice, this study proposes a novel solution that automates all steps during the inspection process allowing an operator to make the final decision with respect to his observations. The proposed workflow includes the following steps: 1) image acquisition, 2) system calibration, 3) profile segmentation, 4) landmark registration and 5) augmentation of the referent technical drawing over the acquired image. The overall solution was developed by using a single camera and dedicated algorithms for profile detection and augmentation of the referent technical drawing. The extensive validation showed that the solution increased operators' productivity and reliability by a considerable margin (~6%), while it remains affordable, user-friendly and generic. |
| first_indexed | 2024-12-16T23:49:24Z |
| format | Article |
| id | doaj.art-7133a51e21204648bebe79ee9216f248 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T23:49:24Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-7133a51e21204648bebe79ee9216f2482022-12-21T22:11:23ZengIEEEIEEE Access2169-35362019-01-01711260511261610.1109/ACCESS.2019.29345618794594Decision Support System for Dimensional Inspection of Extruded Rubber ProfilesArso M. Vukicevic0https://orcid.org/0000-0003-4886-373XMarko Djapan1Petar Todorovic2Milan Eric3Miladin Stefanovic4Ivan Macuzic5Faculty of Engineering, University of Kragujevac, Kragujevac, SerbiaFaculty of Engineering, University of Kragujevac, Kragujevac, SerbiaFaculty of Engineering, University of Kragujevac, Kragujevac, SerbiaFaculty of Engineering, University of Kragujevac, Kragujevac, SerbiaFaculty of Engineering, University of Kragujevac, Kragujevac, SerbiaFaculty of Engineering, University of Kragujevac, Kragujevac, SerbiaSince small and medium enterprises (SME) generate the most of gross domestic product and employment opportunities in developed countries, further progress of the Industry 4.0 strongly relies on the development of dedicated solutions for SMEs-specific problems. Dimensional inspection of extruded rubber profiles represents one such an open issue in the automotive industry, which currently requires a manual measurement and comparison of profiles' cross section with the corresponding technical drawings. Starting from the requirements acquired from the industry practice, this study proposes a novel solution that automates all steps during the inspection process allowing an operator to make the final decision with respect to his observations. The proposed workflow includes the following steps: 1) image acquisition, 2) system calibration, 3) profile segmentation, 4) landmark registration and 5) augmentation of the referent technical drawing over the acquired image. The overall solution was developed by using a single camera and dedicated algorithms for profile detection and augmentation of the referent technical drawing. The extensive validation showed that the solution increased operators' productivity and reliability by a considerable margin (~6%), while it remains affordable, user-friendly and generic.https://ieeexplore.ieee.org/document/8794594/Quality 4.0dimensional inspectionimage analysisrubber profilescomputer vision |
| spellingShingle | Arso M. Vukicevic Marko Djapan Petar Todorovic Milan Eric Miladin Stefanovic Ivan Macuzic Decision Support System for Dimensional Inspection of Extruded Rubber Profiles IEEE Access Quality 4.0 dimensional inspection image analysis rubber profiles computer vision |
| title | Decision Support System for Dimensional Inspection of Extruded Rubber Profiles |
| title_full | Decision Support System for Dimensional Inspection of Extruded Rubber Profiles |
| title_fullStr | Decision Support System for Dimensional Inspection of Extruded Rubber Profiles |
| title_full_unstemmed | Decision Support System for Dimensional Inspection of Extruded Rubber Profiles |
| title_short | Decision Support System for Dimensional Inspection of Extruded Rubber Profiles |
| title_sort | decision support system for dimensional inspection of extruded rubber profiles |
| topic | Quality 4.0 dimensional inspection image analysis rubber profiles computer vision |
| url | https://ieeexplore.ieee.org/document/8794594/ |
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