Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/11978
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dc.contributor.authorLakhani, Karan-
dc.date.accessioned2023-08-24T08:34:55Z-
dc.date.available2023-08-24T08:34:55Z-
dc.date.issued2023-06-01-
dc.identifier.urihttp://10.1.7.192:80/jspui/handle/123456789/11978-
dc.description.abstractComputers have revolutionized many aspects of modern life and have become essential tools in a wide variety of fields. Some of the ways in which computers are important include: Communication, Information Processing, Education, Business, Science and research, Entertainment. Overall, computers are important because they have the ability to perform a wide range of tasks quickly and accurately, and they have had a significant impact on many aspects of modern life.in that we are going to discuss about two things and that are Information processing and Science and research. Information processing: Computers are capable of storing, organizing, and analyzing large amounts of data quickly and accurately, making them essential tools for tasks such as data analysis and decision-making. Science and research: Computers are used to analyze data and perform simulations in a wide range of scientific and research fields, including medicine, meteorology, and astrophysics. Device having such advantage can be more useful to fight cybercrime. In this paper we are going to discuss about the CCTV that are present all over in the planet reordering every activity with the help of right algorithm to detect face and body movements. We can able to fight crime and make our jurisdiction and police stronger like never before.en_US
dc.publisherInstitute of Technologyen_US
dc.relation.ispartofseries21MCEI12;-
dc.subjectComputer 2021en_US
dc.subjectProject Report 2021en_US
dc.subjectComputer Project Reporten_US
dc.subjectProject Reporten_US
dc.subject21MCEen_US
dc.subject21MCEI12en_US
dc.subjectINSen_US
dc.subjectINS 2021en_US
dc.subjectCE (INS)en_US
dc.titleImproving the Accuracy of Intruder Detection from Surveillance Videos using Face Featuresen_US
dc.typeDissertationen_US
Appears in Collections:Dissertation, CE (INS)

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