REAL TIME TRAFFIC MANAGEMENT SYSTEM USING MACHINE LEARNING AND IMAGE PROCESSING In major and rapidly developing urban regions across the world, traffic congestion is unavoidable. Congestion during rush hour is an unavoidable consequence, especially in large metropolitans. In the current circumstance, the traditional technique works well only if the count is low, as the density of vehicles on one side of the lane road grows if the traffic is heavier on one side of the road than on the other; otherwise, the approach fails. As a result, our goal is to create a traffic system that can switch signals as well as track and handle signals in real-time. Signal switching will be done in this project based on real-time image detection and accuracy of vehicular traffic. Another goal is to put in place a traffic management system that gives priority to the lane where the ambulance arrives that offers ambulance detection. Power CarnersY USB toLED( PC -i- - aurdino uno Figure 1 High-Level system architecture Image samples Segmentation Feature Knowledge base Testlimages Segmentation Feature Extraction Results Figure 2 System Architecture


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    Titel :

    REAL TIME TRAFFIC MANAGEMENT SYSTEM USING MACHINE LEARNING AND IMAGE PROCESSING


    Beteiligte:
    SWAMY NATARAJ (Autor:in) / NEJAKAR SANTOSH (Autor:in) / R REKHA (Autor:in) / S SHEELA (Autor:in)

    Erscheinungsdatum :

    16.06.2022


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL



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