An image processing-based smart ambulance detection system provides an enhanced emergency response and traffic management with an all-inclusive solution. Three prominent use cases are integrated into the system to maximise collaboration and communication in urgent circumstances. First, an MIT program allows ambulance drivers to submit messages when the vehicle is far from the camera. The messages are then instantly shown on an LCD screen. This function allows the ambulance crew and traffic management authorities to communicate in real-time, facilitating adequate route clearance and navigation. Second, traffic cops may now remotely regulate LEDs placed along the road thanks to a dedicated app. The technology sounds like a buzzer to inform surrounding cars of an ambulance's impending passing by turning the LED green.


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    Titel :

    Enhancing Emergency Response and Traffic Management with a Smart Ambulance Detection System Using Image Processing


    Weitere Titelangaben:

    Springer Tracts on Transportation, Traffic


    Beteiligte:
    Mallik, Saurav (Herausgeber:in) / Qin, Hong (Herausgeber:in) / Nandi, Subrata (Herausgeber:in) / Alam, Munshi Yusuf (Herausgeber:in) / Roy, Arup (Herausgeber:in) / Sardar, Tanvir Habib (Herausgeber:in) / Asha Kumari, A. (Autor:in) / Pramiee, Lenish (Autor:in) / Manju, V. N. (Autor:in)


    Erscheinungsdatum :

    09.05.2025


    Format / Umfang :

    13 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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