Implementation Of Intelligent Imaging Technology As A Prevention Of Terrorism In The Business Sector In The 21st Century Using Computer Vision & Viola Jones Algorithm With Svm (Support Vector Machine) Method

Bob, Foster and Muhamad, Deni Johansyah (2019) Implementation Of Intelligent Imaging Technology As A Prevention Of Terrorism In The Business Sector In The 21st Century Using Computer Vision & Viola Jones Algorithm With Svm (Support Vector Machine) Method. Jurnal Ilmiah Kursor, 10 (2). ISSN 2301– 6914

	Text (ARTIKEL) B.JN.1 Implementation Of Intelligent Imaging Technology As A Prevention Of Terrorism In The Business Sector In The 21st.pdf Download (1MB)
	Text (TURNITIN) B.JN.3.T. INTELLIGENT IMAGING TECHNOLOGY IMPLEMENTATION AS TERRORISM PREVENTION IN RETAIL SECTORS.pdf - Additional Metadata Download (1MB)
	Text (REVIEWER) B.JN.1 Reviewer Implementation Of Intelligent Imaging Technology As A Prevention Of Terrorism In The Business Sector In The 21st.pdf - Published Version Download (1MB)

Abstract

Terrorism is a very dangerous thing and has become a threat both on a national and international scale, the nation of terrorism itself is an attempt to instill the seeds of hostility against a government group and the state, before entering the 21st century terror attacks are still nature and physical in the business sector, this sector was chosen because it had effect and large losses and made the country's economy unstable. As a precautionary measure by registering the identities of visitors to tourist attractions, identity retrieved from KTP (Resident Card) data, Driver licence, PASSPORT and other identifying identities, prevention of terrorist attacks is by using by the installation of surveillance cameras or CCTV , where every data of people entering a tourist area or business sector will be recorded properly without having to do with manual check. The recognition method using vision techniques with the Viola-Jones algorithm, this algorithm have hight accuracy untill 98 % in recognizing one's face, while actors are camouflaged by changing their physical appearance the system able to identified using the template matching algorithm ( SVM Algorithm), this combination of algorithms is able to recognize self-identity and can increase the level of security and supervision of an the business sector in general is getting better

Item Type:	Article
Subjects:	H Social Sciences > HB Economic Theory
Depositing User:	lppm Universitas UNIBI
Date Deposited:	21 Jul 2021 02:55
Last Modified:	23 Aug 2021 08:41
URI:	http://repository.unibi.ac.id/id/eprint/264

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