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Cloud-Based Multi-Tenant Video Analytics Platform

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dc.contributor.advisor Dailey, Matthew N.
dc.contributor.author Klaypu, Sornrak
dc.contributor.other Esichaikul, Vatcharaporn
dc.contributor.other Ekpanyapong, Mongkol
dc.date.accessioned 2016-07-01T03:54:24Z
dc.date.available 2016-07-01T03:54:24Z
dc.date.issued 2016-07
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/824
dc.description 84 p. en_US
dc.description.abstract Integration of CCTV cameras and video analytics increase the value of the CCTV camera networks. Advanced analytics are needed almost everywhere, but they are not easy to de- velop and deploy. Luckily, the OpenCCTV middleware platform reduces the complexity of CCTV camera and video analytics integration. However, OpenCCTV is single-tenant imple- mentation, which cannot support more than one user or organization. OpenCCTV has varied dependencies that are hard to set up. OpenCCTV cannot currently support many running an- alytic instances and image streams. Therefore, this research aims to deploy OpenCCTV on an OpenStack cloud enabling it to support horizontal or vertical scalability, add multi-tenant Web user management enabling it to support many users and organizations, integrate Docker enabling automatic deployment and reducing the complexity of required library installation and accelerating the delivery of the software, and measure OpenCCTV’s performance to reveal its bottlenecks and identify suitable hardware for its deployment. en_US
dc.description.sponsorship Royal Thai Government Fellowship en_US
dc.language.iso en en_US
dc.publisher AIT en_US
dc.subject cloud en_US
dc.subject openstack en_US
dc.subject docker en_US
dc.subject opencctv en_US
dc.subject video analytic platform en_US
dc.subject container en_US
dc.subject automatic deployment en_US
dc.subject fast delivery software en_US
dc.title Cloud-Based Multi-Tenant Video Analytics Platform en_US
dc.type Research report en_US


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