Training video surveillance system for the purpose of object identification with the help of neural networks

International Workshop "Advanced Technologies in Material Science, Mechanical and Automation Engineering – MIP: Engineering – 2019"

材料科学;机械制造;原子能学

Zhigalov, Kirill^1^2 ; Avetisyan, Karen^3 ; Markova, Svetlana^4

V.A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia^1

Moscow Technological Institute, Moscow, Russia^2

Moscow University of the Ministry of Internal Affairs, Russian Federation N.a. V. Ya. Kikotya, Moscow, Russia^3

Department of Data Analysis Decision Making and Financial Technologies, Financial University under the Government of the Russian Federation, Moscow, Russia^4

关键词: Integration of functions;    Object identification;    Real time;    Technological level;    Transnational companies;    Video surveillance systems;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/537/5/052009/pdf
DOI  :  10.1088/1757-899X/537/5/052009

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Research on the development of algorithms for the use of neural networks associated with video surveillance systems on the identification of the desired objects today go to a whole new technological level. Categorization of classes-objects of research, determination of actual zones of fixation, integration of functions-cloud computing, analysis of incoming data and their evaluation determine the relevance in the creation of a trainable model that allows to solve a wide range of problems when working with the existing and the flow of incoming data in real time both at the state and at the level of transnational companies.