Detection and classification of public security threats in the Philippines using neural networks

Life being put into jeopardy when in public has always been Filipinos' concern. While there are reinforcements of laws, and common practices taught, these are no more than just band-aid solutions to the problem. With the immediate detection and classification of common public security threats t...

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Main Authors:	Guillermo, Marielet, Tobias, Rogelio Ruzcko, De Jesus, Luigi Carlo, Billones, Robert Kerwin, Sybingco, Edwin, Dadios, Elmer P., Fillone, Alexis
Format:	text
Published:	Animo Repository 2020
Subjects:	Electronic surveillance Neural networks (Computer science) Closed-circuit television Human security Manufacturing
Online Access:	https://animorepository.dlsu.edu.ph/faculty_research/1740 https://animorepository.dlsu.edu.ph/context/faculty_research/article/2739/type/native/viewcontent
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Institution:	De La Salle University

id	oai:animorepository.dlsu.edu.ph:faculty_research-2739
record_format	eprints
spelling	oai:animorepository.dlsu.edu.ph:faculty_research-27392021-07-19T08:20:20Z Detection and classification of public security threats in the Philippines using neural networks Guillermo, Marielet Tobias, Rogelio Ruzcko De Jesus, Luigi Carlo Billones, Robert Kerwin Sybingco, Edwin Dadios, Elmer P. Fillone, Alexis Life being put into jeopardy when in public has always been Filipinos' concern. While there are reinforcements of laws, and common practices taught, these are no more than just band-aid solutions to the problem. With the immediate detection and classification of common public security threats through the videos fed from CCTVs, it will be an immense help to protect Filipinos. In this study, the use of pre-trained R-CNN model inception v2 alongside tools for other phases such as annotation, training, and testing will be discussed. The process through which the study attained the goal of the system will be highlighted. © 2020 IEEE. 2020-03-01T08:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/1740 https://animorepository.dlsu.edu.ph/context/faculty_research/article/2739/type/native/viewcontent Faculty Research Work Animo Repository Electronic surveillance Neural networks (Computer science) Closed-circuit television Human security Manufacturing
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	Electronic surveillance Neural networks (Computer science) Closed-circuit television Human security Manufacturing
spellingShingle	Electronic surveillance Neural networks (Computer science) Closed-circuit television Human security Manufacturing Guillermo, Marielet Tobias, Rogelio Ruzcko De Jesus, Luigi Carlo Billones, Robert Kerwin Sybingco, Edwin Dadios, Elmer P. Fillone, Alexis Detection and classification of public security threats in the Philippines using neural networks
description	Life being put into jeopardy when in public has always been Filipinos' concern. While there are reinforcements of laws, and common practices taught, these are no more than just band-aid solutions to the problem. With the immediate detection and classification of common public security threats through the videos fed from CCTVs, it will be an immense help to protect Filipinos. In this study, the use of pre-trained R-CNN model inception v2 alongside tools for other phases such as annotation, training, and testing will be discussed. The process through which the study attained the goal of the system will be highlighted. © 2020 IEEE.
format	text
author	Guillermo, Marielet Tobias, Rogelio Ruzcko De Jesus, Luigi Carlo Billones, Robert Kerwin Sybingco, Edwin Dadios, Elmer P. Fillone, Alexis
author_facet	Guillermo, Marielet Tobias, Rogelio Ruzcko De Jesus, Luigi Carlo Billones, Robert Kerwin Sybingco, Edwin Dadios, Elmer P. Fillone, Alexis
author_sort	Guillermo, Marielet
title	Detection and classification of public security threats in the Philippines using neural networks
title_short	Detection and classification of public security threats in the Philippines using neural networks
title_full	Detection and classification of public security threats in the Philippines using neural networks
title_fullStr	Detection and classification of public security threats in the Philippines using neural networks
title_full_unstemmed	Detection and classification of public security threats in the Philippines using neural networks
title_sort	detection and classification of public security threats in the philippines using neural networks
publisher	Animo Repository
publishDate	2020
url	https://animorepository.dlsu.edu.ph/faculty_research/1740 https://animorepository.dlsu.edu.ph/context/faculty_research/article/2739/type/native/viewcontent
_version_	1707058879042420736

Detection and classification of public security threats in the Philippines using neural networks

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