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Research . 2022
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Research . 2022
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AI-powered CCTV cameras are the future of security and surveillance, How Presear Softwares deliver advanced CCTV video analytics softwares as a hybrid software package minimizing your cost

Authors: Abhijit Tripathy; Vedangini Singh;

AI-powered CCTV cameras are the future of security and surveillance, How Presear Softwares deliver advanced CCTV video analytics softwares as a hybrid software package minimizing your cost

Abstract

Everybody knows that the normal CCTV cameras provide one of the best security and surveillance systems, with some manual work to be done like appointing someone in front of your computer screen 24 x 7 to check the security and a manual alert system with less accuracy. But the question is, how can Artificial Intelligence(AI) enhance the quality of your entire surveillance system. AI-powered CCTV cameras deliver advanced analytical functions like theft detection, vehicle detection, face detection, person detection, people counting, traffic counting, license plate recognition (LPR), weapons detection and behavioural analytics. Advanced video analytics software is built into the camera and recorder, which then enables artificial intelligence functions. The prepared AI model can be integrated further into a hybrid system which can be installed on desktops, android applications, iOS applications and even in smartwatches.

Keywords

Aritificial Intelligence, CCTV Technology, Image Processing, Hybrid Software System, Video Analytics

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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