Property premises intruders detection using face recognition method / Joveni Henry

Nowadays, many issues and news reported about property premises intrusion have raise major concern among the property premises owner and occupants to protect their safety. Every property premises owner have already taken some action to protect their property premises and safety by using all kinds of...

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Main Author: Joveni Henry
Format: Thesis
Language:English
Published: 2017
Online Access:https://ir.uitm.edu.my/id/eprint/18152/2/TD_JOVENI%20HENRY%20CS%2017_5.pdf
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id my-uitm-ir.18152
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spelling my-uitm-ir.181522019-02-27T07:48:05Z Property premises intruders detection using face recognition method / Joveni Henry 2017 Joveni Henry Nowadays, many issues and news reported about property premises intrusion have raise major concern among the property premises owner and occupants to protect their safety. Every property premises owner have already taken some action to protect their property premises and safety by using all kinds of methods. However, the current action and method that are usually implemented by the owner can be easily violated and not effective. The rapid and constant advances of technology create opportunities to improve on the security especially for property premises. One of the technology that is rapidly advancing is face recognition. Therefore, this project emphasize strongly on developing a system that can detect intruders of property premises by using the face recognition method. This project will focus mainly on the Viola-Jones algorithm for face and facial parts detection, facial geometry distance measure for feature extraction and Similarity Measure algorithm using the Euclidian Distance to perform face recognition. The significance of this project is that this project may increase the effectiveness of any existing security system that uses video camera or webcam as surveillance. The project can recognize a face and also detect intruders successfully. More features and testing for a more accurate result can be done in future works. 2017 Thesis https://ir.uitm.edu.my/id/eprint/18152/ https://ir.uitm.edu.my/id/eprint/18152/2/TD_JOVENI%20HENRY%20CS%2017_5.pdf text en public dphil degree Universiti Teknologi MARA Faculty of Computer and Mathematical Sciences
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
description Nowadays, many issues and news reported about property premises intrusion have raise major concern among the property premises owner and occupants to protect their safety. Every property premises owner have already taken some action to protect their property premises and safety by using all kinds of methods. However, the current action and method that are usually implemented by the owner can be easily violated and not effective. The rapid and constant advances of technology create opportunities to improve on the security especially for property premises. One of the technology that is rapidly advancing is face recognition. Therefore, this project emphasize strongly on developing a system that can detect intruders of property premises by using the face recognition method. This project will focus mainly on the Viola-Jones algorithm for face and facial parts detection, facial geometry distance measure for feature extraction and Similarity Measure algorithm using the Euclidian Distance to perform face recognition. The significance of this project is that this project may increase the effectiveness of any existing security system that uses video camera or webcam as surveillance. The project can recognize a face and also detect intruders successfully. More features and testing for a more accurate result can be done in future works.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Bachelor degree
author Joveni Henry
spellingShingle Joveni Henry
Property premises intruders detection using face recognition method / Joveni Henry
author_facet Joveni Henry
author_sort Joveni Henry
title Property premises intruders detection using face recognition method / Joveni Henry
title_short Property premises intruders detection using face recognition method / Joveni Henry
title_full Property premises intruders detection using face recognition method / Joveni Henry
title_fullStr Property premises intruders detection using face recognition method / Joveni Henry
title_full_unstemmed Property premises intruders detection using face recognition method / Joveni Henry
title_sort property premises intruders detection using face recognition method / joveni henry
granting_institution Universiti Teknologi MARA
granting_department Faculty of Computer and Mathematical Sciences
publishDate 2017
url https://ir.uitm.edu.my/id/eprint/18152/2/TD_JOVENI%20HENRY%20CS%2017_5.pdf
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