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Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/9166
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dc.contributor.authorKapadiya, Renish-
dc.date.accessioned2020-07-20T07:03:14Z-
dc.date.available2020-07-20T07:03:14Z-
dc.date.issued2019-06-01-
dc.identifier.urihttp://10.1.7.192:80/jspui/handle/123456789/9166-
dc.description.abstractThis report is based on security surveillance which utilizes computer vision. CCTV surveillance systems are getting deployed at every infrastructure. Humans have a lim- ited ability to watch and analyze CCTV streams being displayed. The more number of CCTV streams being displayed, more difficult for human to identify potential dangerous situations. So if any building is having CCTV facility then system will use that CCTV’s RTSP stream as an input. The model will find out if anyone is carrying any weapon or not. If anyone found carrying weapon in the video then the system will raise an alarm to the security team.en_US
dc.publisherInstitute of Technologyen_US
dc.relation.ispartofseries17MCEC08;-
dc.subjectComputer 2017en_US
dc.subjectProject Report 2017en_US
dc.subjectComputer Project Reporten_US
dc.subjectProject Reporten_US
dc.subject17MCEen_US
dc.subject17MCECen_US
dc.subject17MCEC08en_US
dc.titleAutomatic weapon detection surveillance system using computer visionen_US
dc.typeDissertationen_US
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