As high-speed railways continue to be constructed, more maintenance work is needed to ensure smooth operation. However, this leads to frequent accidents involving maintenance workers at the tracks. Although the number of such accidents is decreasing, there is an increase in the number of casualties. When a maintenance worker is hit by a train, it invariably results in a fatality; this is a serious social issue. To address this problem, this study utilized the tunnel monitoring system installed on trains to prevent railway accidents. This was achieved by using a system that uses image data from the tunnel monitoring system to recognize railway signs and railway tracks and detect maintenance workers on the tracks. Images of railway signs, tracks, and maintenance workers on the tracks were recorded through image data. The Computer Vision OpenCV library was utilized to extract the image data. A recognition and detection algorithm for railway signs, tracks, and maintenance workers was constructed to improve the accuracy of the developed prevention system.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Enhancing Railway Maintenance Safety Using Open-Source Computer Vision


    Beteiligte:
    Donghee Shin (Autor:in) / Jangwon Jin (Autor:in) / Jooyoung Kim (Autor:in)


    Erscheinungsdatum :

    2021




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Improve the safety of maintenance work on the railway using computer

    Kuroiwa, A. / Kato, T. / Kunifuji, T. | British Library Conference Proceedings | 2002


    VEHICLE NAVIGATION USING ADVANCED OPEN SOURCE COMPUTER VISION

    Das, Soubhik / Gore, Deipali / Medhekar, Paritosh et al. | BASE | 2018

    Freier Zugriff

    RAILWAY MAINTENANCE WORK SAFETY MANAGEMENT SYSTEM

    YOKOTA HARUKA / SATAKE SHUICHI / KANAZAWA NAOYUKI | Europäisches Patentamt | 2016

    Freier Zugriff

    Computer Vision and Machine Learning for Enhancing Pedestrian Safety

    Gandhi, Tarak / Trivedi, Mohan Manubhai | Springer Verlag | 2008