This abstract discusses a bounding box methodology-based real-time vehicle disaster detection system that is combined with an alarm system. Effective crash detection systems are particularly essential now to keep safety a priority because of the growing number of cars on the road. The offered method efficiently traces and detects potential crashes by using bounding boxes to demonstrate the sizes and locations of vehicles. The system closely evaluates video feeds from smartly located cameras using image processing and computer vision algorithms; after, in order to proceed with immediate action to stop crashes, an alert system is deployed to notify impending accidents to both pedestrians and cars. By providing precise and momentary crash detection, the proposed technique intends to boost road safety by depreciating the chance of accidents.


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    Titel :

    Real Time Vehicle Collision Using Bounding Box Methodology with Alert System


    Beteiligte:


    Erscheinungsdatum :

    26.04.2024


    Format / Umfang :

    363178 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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