Development and analysis of face recognition system on a mobile robot environment / Jit Shen Quah and Mariam Md Ghazaly
In today’s society, face recognition technology is widely used and applied in various fields such as biometric identification and security surveillance. However it is apparent that as technology advances, even more so in the direction of mobile robots such as a mobile security surveillance robot or...
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| Format: | Article |
| Language: | English |
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Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM)
2018
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| Online Access: | https://ir.uitm.edu.my/id/eprint/36336/1/36336.pdf |
| _version_ | 1825738283867439104 |
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| author | Jit, Shen Quah Md Ghazaly, Mariam |
| author_facet | Jit, Shen Quah Md Ghazaly, Mariam |
| author_sort | Jit, Shen Quah |
| collection | UITM |
| description | In today’s society, face recognition technology is widely used and applied in various fields such as biometric identification and security surveillance. However it is apparent that as technology advances, even more so in the direction of mobile robots such as a mobile security surveillance robot or a humanoid robot, the application of face recognition would need to transition from the traditional fixed position recognition to a mobile environment recognition as well. This research thus aimed at analyzing the performance of face recognition algorithm performance in a mobile environment as compared to a static environment. This is done via integrating a developed face recognition software onto a mobile robot in terms of image captured distance and in extension its accuracy during static and dynamic conditions. The results from this research shows that when there is an increase in mobile robot speed from 0 ~ 65% duty cycle there seem to be a reduction in performance in terms of range of capture of approximately 30% for both face recognition and face identification which is a clear reduction in performance. From the results as well, the optimum speed for the mobile robot to move to obtain optimum performance for both recognition and identification was found to be at 60% PWM with minimum neighbors and scaling factors both set to 1. |
| first_indexed | 2024-03-06T02:31:12Z |
| format | Article |
| id | oai:ir.uitm.edu.my:36336 |
| institution | Universiti Teknologi MARA |
| language | English |
| last_indexed | 2024-03-06T02:31:12Z |
| publishDate | 2018 |
| publisher | Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM) |
| record_format | dspace |
| spelling | oai:ir.uitm.edu.my:363362020-11-09T03:51:47Z https://ir.uitm.edu.my/id/eprint/36336/ Development and analysis of face recognition system on a mobile robot environment / Jit Shen Quah and Mariam Md Ghazaly jmeche Jit, Shen Quah Md Ghazaly, Mariam TJ Mechanical engineering and machinery In today’s society, face recognition technology is widely used and applied in various fields such as biometric identification and security surveillance. However it is apparent that as technology advances, even more so in the direction of mobile robots such as a mobile security surveillance robot or a humanoid robot, the application of face recognition would need to transition from the traditional fixed position recognition to a mobile environment recognition as well. This research thus aimed at analyzing the performance of face recognition algorithm performance in a mobile environment as compared to a static environment. This is done via integrating a developed face recognition software onto a mobile robot in terms of image captured distance and in extension its accuracy during static and dynamic conditions. The results from this research shows that when there is an increase in mobile robot speed from 0 ~ 65% duty cycle there seem to be a reduction in performance in terms of range of capture of approximately 30% for both face recognition and face identification which is a clear reduction in performance. From the results as well, the optimum speed for the mobile robot to move to obtain optimum performance for both recognition and identification was found to be at 60% PWM with minimum neighbors and scaling factors both set to 1. Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM) 2018 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/36336/1/36336.pdf Development and analysis of face recognition system on a mobile robot environment / Jit Shen Quah and Mariam Md Ghazaly. (2018) Journal of Mechanical Engineering (JMechE) <https://ir.uitm.edu.my/view/publication/Journal_of_Mechanical_Engineering_=28JMechE=29/>, 15 (2). pp. 169-189. ISSN 1823-5514 ; 2550-164X https://jmeche.uitm.edu.my/ |
| spellingShingle | TJ Mechanical engineering and machinery Jit, Shen Quah Md Ghazaly, Mariam Development and analysis of face recognition system on a mobile robot environment / Jit Shen Quah and Mariam Md Ghazaly |
| title | Development and analysis of face recognition system on a mobile robot environment / Jit Shen Quah and Mariam Md Ghazaly |
| title_full | Development and analysis of face recognition system on a mobile robot environment / Jit Shen Quah and Mariam Md Ghazaly |
| title_fullStr | Development and analysis of face recognition system on a mobile robot environment / Jit Shen Quah and Mariam Md Ghazaly |
| title_full_unstemmed | Development and analysis of face recognition system on a mobile robot environment / Jit Shen Quah and Mariam Md Ghazaly |
| title_short | Development and analysis of face recognition system on a mobile robot environment / Jit Shen Quah and Mariam Md Ghazaly |
| title_sort | development and analysis of face recognition system on a mobile robot environment jit shen quah and mariam md ghazaly |
| topic | TJ Mechanical engineering and machinery |
| url | https://ir.uitm.edu.my/id/eprint/36336/1/36336.pdf |
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