Sign Detection Vision Based Mobile Robot Platform
Vision system applied in electrical power generated mobile robot to provide a comfortable ride while providing comfort to tourist to interact with visitors. The camera is placed in front of the mobile robot to snap the images along in pathways. The system can recognized the sign which are right, lef...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Institute Of Advanced Engineering And Science (IAES)
2017
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/20876/2/IJEECS.pdf http://eprints.utem.edu.my/id/eprint/20876/ http://www.iaescore.com/journals/index.php/IJEECS/article/view/8648 |
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| author | Mohd Shah, Hairol Nizam Ab Rashid, Mohd Zamzuri Kamis, Zalina Mohd Aras, Mohd Shahrieel Mohd Ali, Nursabillilah Wasbari, Faizil Tengku Anuar, Tengku Muhammad Mahfuz |
| author_facet | Mohd Shah, Hairol Nizam Ab Rashid, Mohd Zamzuri Kamis, Zalina Mohd Aras, Mohd Shahrieel Mohd Ali, Nursabillilah Wasbari, Faizil Tengku Anuar, Tengku Muhammad Mahfuz |
| author_sort | Mohd Shah, Hairol Nizam |
| building | UTEM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknikal Malaysia Melaka |
| content_source | UTEM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Vision system applied in electrical power generated mobile robot to provide a comfortable ride while providing comfort to tourist to interact with visitors. The camera is placed in front of the mobile robot to snap the images along in pathways. The system can recognized the sign which are right, left and up by using Harris corner algorithms and will be display in Graphical User Interface (GUI). A sign can be determined from the vertex coordinates according to the degree to distinguish the direction of the sign. The system will be tested in term of percentage of success in Harris point detection and availability to detect sign with different range. The result show the even though not all Harris point in an image can be detected but most of the images possible to recognise it sign direction. |
| format | Article |
| id | my.utem.eprints-20876 |
| institution | Universiti Teknikal Malaysia Melaka |
| language | en |
| publishDate | 2017 |
| publisher | Institute Of Advanced Engineering And Science (IAES) |
| record_format | eprints |
| spelling | my.utem.eprints-208762021-07-09T13:52:00Z http://eprints.utem.edu.my/id/eprint/20876/ Sign Detection Vision Based Mobile Robot Platform Mohd Shah, Hairol Nizam Ab Rashid, Mohd Zamzuri Kamis, Zalina Mohd Aras, Mohd Shahrieel Mohd Ali, Nursabillilah Wasbari, Faizil Tengku Anuar, Tengku Muhammad Mahfuz T Technology (General) TJ Mechanical engineering and machinery Vision system applied in electrical power generated mobile robot to provide a comfortable ride while providing comfort to tourist to interact with visitors. The camera is placed in front of the mobile robot to snap the images along in pathways. The system can recognized the sign which are right, left and up by using Harris corner algorithms and will be display in Graphical User Interface (GUI). A sign can be determined from the vertex coordinates according to the degree to distinguish the direction of the sign. The system will be tested in term of percentage of success in Harris point detection and availability to detect sign with different range. The result show the even though not all Harris point in an image can be detected but most of the images possible to recognise it sign direction. Institute Of Advanced Engineering And Science (IAES) 2017-08 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/20876/2/IJEECS.pdf Mohd Shah, Hairol Nizam and Ab Rashid, Mohd Zamzuri and Kamis, Zalina and Mohd Aras, Mohd Shahrieel and Mohd Ali, Nursabillilah and Wasbari, Faizil and Tengku Anuar, Tengku Muhammad Mahfuz (2017) Sign Detection Vision Based Mobile Robot Platform. Indonesian Journal Of Electrical Engineering And Computer Science, 7 (2). pp. 524-532. ISSN 2502-4752 http://www.iaescore.com/journals/index.php/IJEECS/article/view/8648 DOI: 10.11591/ijeecs.v7.i2.pp524-532 |
| spellingShingle | T Technology (General) TJ Mechanical engineering and machinery Mohd Shah, Hairol Nizam Ab Rashid, Mohd Zamzuri Kamis, Zalina Mohd Aras, Mohd Shahrieel Mohd Ali, Nursabillilah Wasbari, Faizil Tengku Anuar, Tengku Muhammad Mahfuz Sign Detection Vision Based Mobile Robot Platform |
| title | Sign Detection Vision Based Mobile Robot Platform |
| title_full | Sign Detection Vision Based Mobile Robot Platform |
| title_fullStr | Sign Detection Vision Based Mobile Robot Platform |
| title_full_unstemmed | Sign Detection Vision Based Mobile Robot Platform |
| title_short | Sign Detection Vision Based Mobile Robot Platform |
| title_sort | sign detection vision based mobile robot platform |
| topic | T Technology (General) TJ Mechanical engineering and machinery |
| url | http://eprints.utem.edu.my/id/eprint/20876/2/IJEECS.pdf http://eprints.utem.edu.my/id/eprint/20876/ http://www.iaescore.com/journals/index.php/IJEECS/article/view/8648 |
| url_provider | http://eprints.utem.edu.my/ |