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THE RELATIONSHIP OF ARTIFICIAL INTELLIGENCE AND VIDEO SURVEILLANCE IN THE SECURITY SYSTEM

Andryushenkov Dmitry Gennadievich  (postgraduate student Federal State Budget Educational Institution of Higher Education "MIREA - Russian Technological University" (RTU MIREA) )

Hadi Namir Mohamed  (postgraduate student Federal State Budget Educational Institution of Higher Education "MIREA - Russian Technological University" (RTU MIREA) )

Ushkova Nadezhda Nikolaevna  (postgraduate student Federal State Budget Educational Institution of Higher Education "MIREA - Russian Technological University" (RTU MIREA) )

Bolotin Kirill Viktorovich  (postgraduate student Federal State Budget Educational Institution of Higher Education "MIREA - Russian Technological University" (RTU MIREA) )

The article will consider examples of integrating artificial intelligence into a video surveillance system, conduct a system analysis, show the process of their interaction, identify weaknesses, and also illustrate their inextricable link with security. A situation will be presented in which there are any threats to people and it will be shown which algorithms the system uses. During the execution, an intelligent system was developed that is able to analyze the actions on the video recordings and detect suspicious movements that precede the commission of shoplifting. The proposed system can analyze movement according to two main classifications: natural movement and suspicious movement (with the determination of the percentage of each of them). Certain practical conclusions will also be made, which, perhaps, can improve the security system and take a fresh look at emerging threats.

Keywords:artificial intelligence, video surveillance, threats, video analytics, system analysis, security, people, neural network, algorithms

 

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Citation link:
Andryushenkov D. G., Hadi N. M., Ushkova N. N., Bolotin K. V. THE RELATIONSHIP OF ARTIFICIAL INTELLIGENCE AND VIDEO SURVEILLANCE IN THE SECURITY SYSTEM // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2023. -№08. -С. 30-35 DOI 10.37882/2223-2966.2023.08.02
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