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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Additional title:

    Springer Tracts on Transportation, Traffic


    Contributors:


    Publication date :

    2025-05-09


    Size :

    13 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Smart Traffic Control System with Ambulance Detection Using Signal Processing

    Nalini, M. / Velavan, Latha / U, Yogabhuvaneswari | IEEE | 2023


    Ambulance Detection in Traffic Signals Using Image Processing

    Sanjai, P.C / Sam, Jebastin J / Iyengar, Shashank et al. | IEEE | 2023


    Emergency response system of shelter ambulance

    WANG FEIFEI / CHEN YI / LUO LIXIANG et al. | European Patent Office | 2024

    Free access

    Smart Traffic, Ambulance Clearance, and Stolen Vehicle Detection

    Viraktamath, S. V. / Naikar, Arfaali B. / Nargund, Sharan N. et al. | Springer Verlag | 2022


    Smart Traffic Light Control System for Ambulance Vehicle

    V, Srividya B / Ahmed, Sufiyan / Rajendran, Akshaya et al. | IEEE | 2025