Real time and auto triggered facial recogition entrance system / Muhammad Raez Zahari

Facial recognition door entry system has recently received significant attention as another way of authenticated biometric system that ensures the security of the specified locations such as office and laboratory. Besides preventing unauthorized users, the system can keep record of people going in a...

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Bibliographic Details
Main Author:	Zahari, Muhammad Raez
Format:	Thesis
Language:	English
Published:	2013
Subjects:	Human face recognition (Computer science)
Online Access:	https://ir.uitm.edu.my/id/eprint/78263/1/78263.pdf
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id	my-uitm-ir.78263
record_format	uketd_dc
spelling	my-uitm-ir.782632023-07-24T07:54:39Z Real time and auto triggered facial recogition entrance system / Muhammad Raez Zahari 2013 Zahari, Muhammad Raez Human face recognition (Computer science) Intrusion detection systems (Computer security). Computer network security. Hackers Facial recognition door entry system has recently received significant attention as another way of authenticated biometric system that ensures the security of the specified locations such as office and laboratory. Besides preventing unauthorized users, the system can keep record of people going in and out from the room. This work proposes secure entrance system utilizing face recognition technique running on low power Intel atom processor. The system will provides or delivers automated, active, real time surveillance and identification solution providing event driven alerts based on excluded status. Upon detecting any suspicious faces, the system will alert respective person incharged through connected GSM module. During the process an Intel atom motherboard will be used for interfacing between the GSM module and camera. 2013 Thesis https://ir.uitm.edu.my/id/eprint/78263/ https://ir.uitm.edu.my/id/eprint/78263/1/78263.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Mohd Yussoff, Yusnani
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Mohd Yussoff, Yusnani
topic	Human face recognition (Computer science) Human face recognition (Computer science)
spellingShingle	Human face recognition (Computer science) Human face recognition (Computer science) Zahari, Muhammad Raez Real time and auto triggered facial recogition entrance system / Muhammad Raez Zahari
description	Facial recognition door entry system has recently received significant attention as another way of authenticated biometric system that ensures the security of the specified locations such as office and laboratory. Besides preventing unauthorized users, the system can keep record of people going in and out from the room. This work proposes secure entrance system utilizing face recognition technique running on low power Intel atom processor. The system will provides or delivers automated, active, real time surveillance and identification solution providing event driven alerts based on excluded status. Upon detecting any suspicious faces, the system will alert respective person incharged through connected GSM module. During the process an Intel atom motherboard will be used for interfacing between the GSM module and camera.
format	Thesis
qualification_level	Bachelor degree
author	Zahari, Muhammad Raez
author_facet	Zahari, Muhammad Raez
author_sort	Zahari, Muhammad Raez
title	Real time and auto triggered facial recogition entrance system / Muhammad Raez Zahari
title_short	Real time and auto triggered facial recogition entrance system / Muhammad Raez Zahari
title_full	Real time and auto triggered facial recogition entrance system / Muhammad Raez Zahari
title_fullStr	Real time and auto triggered facial recogition entrance system / Muhammad Raez Zahari
title_full_unstemmed	Real time and auto triggered facial recogition entrance system / Muhammad Raez Zahari
title_sort	real time and auto triggered facial recogition entrance system / muhammad raez zahari
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2013
url	https://ir.uitm.edu.my/id/eprint/78263/1/78263.pdf
_version_	1783736232049639424

Real time and auto triggered facial recogition entrance system / Muhammad Raez Zahari

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