Room surveillance using convolutional neural networks based computer vision system

Intelligent systems are capable of performing several tasks with high reliability and efficiency. Hence, these systems were used to perform tasks which are usually done by humans. In the event of facility breach or in times when primary security systems were compromised, a call for secondary line of...

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Main Author:	Navea, Roy Francis R.
Format:	text
Published:	Animo Repository 2020
Subjects:	Closed-circuit television Television in security systems Face perception Electrical and Computer Engineering Electrical and Electronics
Online Access:	https://animorepository.dlsu.edu.ph/faculty_research/2549 https://animorepository.dlsu.edu.ph/context/faculty_research/article/3548/type/native/viewcontent
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Institution:	De La Salle University

id	oai:animorepository.dlsu.edu.ph:faculty_research-3548
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spelling	oai:animorepository.dlsu.edu.ph:faculty_research-35482022-06-10T02:44:46Z Room surveillance using convolutional neural networks based computer vision system Navea, Roy Francis R. Intelligent systems are capable of performing several tasks with high reliability and efficiency. Hence, these systems were used to perform tasks which are usually done by humans. In the event of facility breach or in times when primary security systems were compromised, a call for secondary line of security is needed. In this study, it is intended to design a convolutional neural network-based computer vision system that can possibly determine whether a person entering a vicinity is authorized or not using face, height, and built recognition with gender sensitivity. The designed system was able to obtain balanced precision and recall as well as achieving more than 0.9 F1 scores. This is a complementary technology that can work with automated locks or security systems. © 2020, World Academy of Research in Science and Engineering. All rights reserved. 2020-07-01T07:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/2549 https://animorepository.dlsu.edu.ph/context/faculty_research/article/3548/type/native/viewcontent Faculty Research Work Animo Repository Closed-circuit television Television in security systems Face perception Electrical and Computer Engineering Electrical and Electronics
institution	De La Salle University
building	De La Salle University Library
continent	Asia
country	Philippines Philippines
content_provider	De La Salle University Library
collection	DLSU Institutional Repository
topic	Closed-circuit television Television in security systems Face perception Electrical and Computer Engineering Electrical and Electronics
spellingShingle	Closed-circuit television Television in security systems Face perception Electrical and Computer Engineering Electrical and Electronics Navea, Roy Francis R. Room surveillance using convolutional neural networks based computer vision system
description	Intelligent systems are capable of performing several tasks with high reliability and efficiency. Hence, these systems were used to perform tasks which are usually done by humans. In the event of facility breach or in times when primary security systems were compromised, a call for secondary line of security is needed. In this study, it is intended to design a convolutional neural network-based computer vision system that can possibly determine whether a person entering a vicinity is authorized or not using face, height, and built recognition with gender sensitivity. The designed system was able to obtain balanced precision and recall as well as achieving more than 0.9 F1 scores. This is a complementary technology that can work with automated locks or security systems. © 2020, World Academy of Research in Science and Engineering. All rights reserved.
format	text
author	Navea, Roy Francis R.
author_facet	Navea, Roy Francis R.
author_sort	Navea, Roy Francis R.
title	Room surveillance using convolutional neural networks based computer vision system
title_short	Room surveillance using convolutional neural networks based computer vision system
title_full	Room surveillance using convolutional neural networks based computer vision system
title_fullStr	Room surveillance using convolutional neural networks based computer vision system
title_full_unstemmed	Room surveillance using convolutional neural networks based computer vision system
title_sort	room surveillance using convolutional neural networks based computer vision system
publisher	Animo Repository
publishDate	2020
url	https://animorepository.dlsu.edu.ph/faculty_research/2549 https://animorepository.dlsu.edu.ph/context/faculty_research/article/3548/type/native/viewcontent
_version_	1736864128973144064

Room surveillance using convolutional neural networks based computer vision system

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