The purpose of this study is to create an automated system for monitoring unauthorized buildings. In the course of the study, the reasons for unauthorized construction were considered, as well as problems arising from the withdrawal of land for state and municipal needs (in particular, for the construction of transport infrastructure). The data provided by the Federal Service for State Registration, Cadastre and Cartography were analyzed. The analysis of the cases of the Arbitration Courts of the Krasnodar Territory under Article 222 of the Civil Code of the Russian Federation was carried out, as a result of which the number of violations in dynamics over the past five years was revealed. The disadvantages of obtaining information through satellite images are listed, and an alternative method for obtaining relevant data using unmanned aerial vehicles is proposed, as well as their use for monitoring purposes. The developed system for monitoring unauthorized buildings, which is based on a neural network, is presented. The positive and negative aspects of the developed system for monitoring unauthorized buildings are revealed. An algorithm has been developed, on the basis of which a system for monitoring unauthorized buildings has been proposed. The activities that can be carried out by local governments using the proposed system are listed. The problems that must be solved by synchronizing several unmanned aerial vehicles to perform joint surveys are noted. The paper uses such research methods as: theoretical analysis, statistical analysis, their comparison and systematization.


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    Titel :

    Automation of Monitoring of Unauthorized Buildings


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Guda, Alexander (Herausgeber:in) / Osennyaya, Anna (Autor:in) / Gura, Dmitry (Autor:in) / Khakhuk, Bela (Autor:in) / Dyakova, Nelli (Autor:in) / Lytus, Maxim (Autor:in)

    Kongress:

    International School on Neural Networks, Initiated by IIASS and EMFCSC ; 2022 ; St.Petersburg, Russia February 08, 2022 - February 10, 2022



    Erscheinungsdatum :

    16.11.2022


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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