The challenge of effectively monitoring and controlling traffic violations in India has surfaced due to factors such as a growing population, increased commuters, inadequate traffic management, and a lack of adherence to road safety norms. This project seeks to tackle this crucial issue by harnessing the capabilities of Artificial Intelligence (AI). The proposed system incorporates cutting-edge technologies, including computer vision, machine learning algorithms, and realtime data processing, to promptly report traffic violations by accurately identifying vehicle number plates. Through the integration of these advanced technologies, the project aims to establish a robust framework for real-time monitoring and control of traffic violations. Additionally, the project recognizes the importance of engaging the general public in enhancing traffic safety. To streamline reporting, a user-friendly interface will be developed, allowing individuals to report violations easily from any location. This inclusive approach aims to empower the common man to actively contribute to the monitoring and control of traffic violations, fostering a collaborative effort for safer roads throughout India.


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    Titel :

    Violation Eye – AI Based Traffic Violation Reporting Web Application


    Beteiligte:
    Patil, Sakshi (Autor:in) / Mokashi, Aditi (Autor:in) / Satav, Omkar (Autor:in) / Sarkate, Sahil (Autor:in) / Shinde, Anita (Autor:in) / Adsool, Vishal (Autor:in)


    Erscheinungsdatum :

    29.06.2024


    Format / Umfang :

    797796 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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