Visitor Timeline Tracking Using Face and Car Plate Recognition

Nowadays, the security of the campus is an urgent issue for the safety of students, lecturersand staff. They need to enter the campus for their purposes every day. There are many visitors also allowed to enter the campus for their purposes. The traditional visitor tracking system is no longer well...

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Bibliographic Details
Main Author: Teng, Chin Hui
Format: Final Year Project Report
Language:English
English
Published: Universiti Malaysia Sarawak, (UNIMAS) 2020
Subjects:
Online Access:http://ir.unimas.my/id/eprint/34692/1/Teng%20Chin%20Hui%20-%2024%20pgs.pdf
http://ir.unimas.my/id/eprint/34692/4/Teng%20Chin%20Hui.pdf
http://ir.unimas.my/id/eprint/34692/
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spelling my.unimas.ir.346922024-03-18T04:00:02Z http://ir.unimas.my/id/eprint/34692/ Visitor Timeline Tracking Using Face and Car Plate Recognition Teng, Chin Hui QA75 Electronic computers. Computer science Nowadays, the security of the campus is an urgent issue for the safety of students, lecturersand staff. They need to enter the campus for their purposes every day. There are many visitors also allowed to enter the campus for their purposes. The traditional visitor tracking system is no longer well efficient for campus security tasks currently. To provide more security measures, the Visitor Timeline Tracking Using Face and Car Plate Recognition are proposed. The main function of the proposed system is to identify and track the people by using the face and car plate recognition as mentioned in the name of the system. The entering time and leaving time of each person will be recorded in the system. In the future, this system could be applied to each of the schools and campuses to decrease the load of the workflow of the security and enhance the safety of schools and campuses. Universiti Malaysia Sarawak, (UNIMAS) 2020 Final Year Project Report NonPeerReviewed text en http://ir.unimas.my/id/eprint/34692/1/Teng%20Chin%20Hui%20-%2024%20pgs.pdf text en http://ir.unimas.my/id/eprint/34692/4/Teng%20Chin%20Hui.pdf Teng, Chin Hui (2020) Visitor Timeline Tracking Using Face and Car Plate Recognition. [Final Year Project Report] (Unpublished)
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Teng, Chin Hui
Visitor Timeline Tracking Using Face and Car Plate Recognition
description Nowadays, the security of the campus is an urgent issue for the safety of students, lecturersand staff. They need to enter the campus for their purposes every day. There are many visitors also allowed to enter the campus for their purposes. The traditional visitor tracking system is no longer well efficient for campus security tasks currently. To provide more security measures, the Visitor Timeline Tracking Using Face and Car Plate Recognition are proposed. The main function of the proposed system is to identify and track the people by using the face and car plate recognition as mentioned in the name of the system. The entering time and leaving time of each person will be recorded in the system. In the future, this system could be applied to each of the schools and campuses to decrease the load of the workflow of the security and enhance the safety of schools and campuses.
format Final Year Project Report
author Teng, Chin Hui
author_facet Teng, Chin Hui
author_sort Teng, Chin Hui
title Visitor Timeline Tracking Using Face and Car Plate Recognition
title_short Visitor Timeline Tracking Using Face and Car Plate Recognition
title_full Visitor Timeline Tracking Using Face and Car Plate Recognition
title_fullStr Visitor Timeline Tracking Using Face and Car Plate Recognition
title_full_unstemmed Visitor Timeline Tracking Using Face and Car Plate Recognition
title_sort visitor timeline tracking using face and car plate recognition
publisher Universiti Malaysia Sarawak, (UNIMAS)
publishDate 2020
url http://ir.unimas.my/id/eprint/34692/1/Teng%20Chin%20Hui%20-%2024%20pgs.pdf
http://ir.unimas.my/id/eprint/34692/4/Teng%20Chin%20Hui.pdf
http://ir.unimas.my/id/eprint/34692/
_version_ 1794644137878749184
score 13.19449