Most of the traffic injuries are triggered because of carelessness, lack of knowledge of the rules and neglecting traffic signboards. The occurrence of street accidents in our country is alarming. When a person disobeys the traffic signs and signals, he/she is putting one's life at risk in addition to the life of the pedestrians. The traffic signs and signals are designed to regulate traffic and thus reduces the severity of traffic injuries. Today, drivers are distracted a lot while driving. For example, talking to someone on the passenger seat, listening to music or news, or using the phone which increases the chances of an accident. To tackle this issue, we had designed Traffic Sign Recognition System using YOLOv5 (TSRSY), which detects traffic signs, classifies them, and provides an appropriate audio alert message.


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    Titel :

    TSRSY - Traffic Sign Recognition System using Deep Learning


    Beteiligte:
    Visaria, Hiral (Autor:in) / Chaube, Shruti (Autor:in) / John, Franky (Autor:in) / Khubalkar, Aruna (Autor:in)


    Erscheinungsdatum :

    2022-06-24


    Format / Umfang :

    1759104 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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