Mitigation and Swift Curative Procedure on Alluring Smart City Using Falcon Technology

G. S. Nivethini*, R. Yokesh Srenevas, R. Rahfar Nisha, G. Ignisha Rajathi

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    With the help of modern Artificial intelligence—AI tools through which the normalcy and anomaly can be determined based on the available data in traffic monitoring and control processes. Then by employing efficient algorithms the available data along with image and video captures can be filtered to detect possible anomalies. The main filtering is done based on object detection and identification-based classification methods. This system can be viewed as a complex one with a control room constituting some 20 screens with many cameras associated forming a big network. This innovation is a new approach to reduce manpower and complexity of the existing system thereby improving the quality of life. The major concern is reducing road accidents as nearly one third of the mortality lies there. So, by proper pre-detection this can be reduced. This innovation consists of a bird shaped IOT device named “Falcon” with certain built-in functions to effectively monitor our smart cities and save lives. The main activities would be detecting road accidents, giving prior information and improving women safety. This falcon can be controlled via mobile application. Any threats and hazards faced by any woman can be easily identified and the falcon will send appropriate information to the police and pre-configured members. This can also serve to monitor transport in traffic signals and will report immediately in case of any violations of the traffic rule. When monitoring any threats or accidents that have taken place then notifications with captures will be sent to the police and hospitals. During any natural calamities or even on a regular basis also delivery of any medicines or essential commodities in a short time can be done by this falcon. This will also improve surveillance and better coordination amongst the police, smart city authorities and other government departments to perform better services for the citizens and to serve the people in a better way especially during emergencies.

    Original languageEnglish
    Title of host publicationDisruptive Technologies for Big Data and Cloud Applications - Proceedings of ICBDCC 2021
    EditorsJ. Dinesh Peter, Steven Lawrence Fernandes, Amir H. Alavi
    PublisherSpringer Science and Business Media Deutschland GmbH
    Pages85-94
    Number of pages10
    ISBN (Print)9789811921766
    DOIs
    Publication statusPublished - 2022
    EventInternational Conference on Big Data and Cloud Computing, ICBDCC 2021 - Coimbatore, India
    Duration: 20-08-202121-08-2021

    Publication series

    NameLecture Notes in Electrical Engineering
    Volume905
    ISSN (Print)1876-1100
    ISSN (Electronic)1876-1119

    Conference

    ConferenceInternational Conference on Big Data and Cloud Computing, ICBDCC 2021
    Country/TerritoryIndia
    CityCoimbatore
    Period20-08-2121-08-21

    All Science Journal Classification (ASJC) codes

    • Industrial and Manufacturing Engineering

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