Computer-based accident detection carried out using video surveillance which has become advantageous but a difficult job. Recent framework has been proposed to detect accidents of the vehicles. This framework utilizes YOLO for detection of vehicle accidents with better efficiency and would avoid false alarms. In this framework, detection is done based on speed and tangent of vehicle with respect to another vehicle. The purpose of this framework is for better accuracy and speed alert generation and avoiding false alarm due to various parameters that include daylight, dark visibility, weather conditions like rainstorm, hail, etc. When compared to other methodologies, YOLO has performed far better results in accident detection using the CCTV surveillance videos. This framework was relatively used for development in vehicle accident detection in present day–to-day life.


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    Titel :

    Artificial Intelligence Used in Accident Detection Using YOLO


    Weitere Titelangaben:

    Advs in Intelligent Syst., Computing


    Beteiligte:
    Manogaran, Gunasekaran (Herausgeber:in) / Shanthini, A. (Herausgeber:in) / Vadivu, G. (Herausgeber:in) / Gautham, S. V. (Autor:in) / Hemavathi, D. (Autor:in)


    Erscheinungsdatum :

    2022-04-27


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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