Roads are the major connective mode in any country and often characterized by traffic congestion due to lack of traffic management. It may be due to the large population, lack of technology and violation did by the people, among them, traffic rule violation is a major issue. It is very difficult for the Authorities to check there is a traffic rule violation or not, which leads to miserable situations where it becomes dangerous not even for the drivers but pedestrians as well. From recent research, it is found that due to this in India the number of accidents per 1000 vehicles it is 35. To overcome these violations, technology can play a major part hence in this work IoT and Image Processing based methods is focused. This manuscript highlights the monitoring of traffic signal violation and its penalty system. In this work, Radio Frequency Identification (RFID) along with Image Processing techniques is used. In recent year's work both the technology has been used separately and has its advantages and disadvantages. Hence in this work, the advantages of both technologies are utilized while using both the techniques simultaneously to avoid the disadvantages such as tempering of the License plate, hiding of Fastrack tag, etc. In this system, GSM technology is used to send an alert about the penalty imposed on the owner of the vehicle. By doing this the tendency of getting away without being penalized will reduce and subsequently the traffic violation will be mitigated without industrious use of human resources.


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    Titel :

    Advanced Traffic Violation Control and Penalty System using IoT and Image Processing Techniques


    Beteiligte:
    Asoba, Shreya (Autor:in) / Supekar, Shreya (Autor:in) / Tonde, Tushar (Autor:in) / Siddiqui, Juned A. (Autor:in)


    Erscheinungsdatum :

    2020-03-01


    Format / Umfang :

    435604 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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