Intelligent Traffic Management System (ITMS) is a sophisticated solution designed to address a variety of urban traffic management challenges. This comprehensive system employs cutting-edge technologies to ensure helmet compliance, detect traffic signal violations, identify license plates, track cell phone usage, and provide police stations with proximity-based alerts. The system can accurately identify helmetless individuals by implementing computer vision algorithms. ITMS uses computer vision and machine learning techniques to detect traffic signal violations in addition to monitoring helmet compliance. The system can identify and record instances of red light running by analyzing live video feeds from traffic cameras, allowing law enforcement to issue appropriate penalties. Furthermore, ITMS includes a number plate identification feature that extracts license plate information using optical character recognition. This enables efficient and automated vehicle movement monitoring, allowing for effective traffic surveillance and the identification of vehicles involved in criminal activities. Another important feature of ITMS is its ability to monitor cell phone usage while driving. The system can detect drivers using cell phones and generate alerts to deter distracted driving by leveraging mobile network data and smart devices. Finally, ITMS sends proximity-based alerts to police stations, allowing for faster response times and more efficient deployment of law enforcement personnel in the event of an emergency or traffic incident. In summary, ITMS is a sophisticated and all-encompassing solution that combines advanced technologies to ensure helmet compliance, detect traffic signal violations, identify license plates, track cell phone usage, and provide proximity-based police station alerts. ITMS aims to improve road safety and streamline traffic management by combining these features into a single system for a better commuting experience.


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    Titel :

    Intelligent Traffic Management System: An Advanced Solution for Helmet Compliance, Traffic Signal Violation Detection, Number Plate Identification, Cell Phone Usage Tracking, and Proximity-Based Police Station Alerts


    Beteiligte:
    Kayalvizhi, S. (Autor:in) / Jayanth, J (Autor:in) / Karthikeyan, V (Autor:in) / Nithish Kumar, R (Autor:in)


    Erscheinungsdatum :

    2024-02-08


    Format / Umfang :

    674076 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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