Abstract:
"
Every day, car crashes result in a significant number of fatalities and
injuries, with a majority of these resulting from delayed care and
supplementary accidents such as wrong post care given by unexperienced
personals. An Automatic vehicle accident detection system will, to some
degree, reduce the time it takes for rescue services and vehicles to respond
to incidents, improving rescue efficiency and traffic safety.(Tian et al.,
2019) The Prevention of death or serious injury from major road accidents
is an aim of the governments all over the world. The availability of timely
assistance to accident victims is a critical condition for reducing the effects
of vehicular accidents. In order to save human lives, it is essential to devise
effective warning and response mechanisms. According to numerous
figures, the number of traffic incidents is rising every year. According to
the World Health Organization's (WHO) Road Traffic Facts, 1.24 million
people involve in serious injuries or death every year as a result of traffic
accidents.(Road traffic injuries) According to figures, 50% of global
crashes result in fatalities, with middle-income countries accounting for
80% of global traffic deaths. This documentation is based on how an
automated vehicle accident detection system which automatically sends the
first responders about the accident. This prototype is mainly developed in
order to reduce the delay time of the responding units that takes to arrive at
the accident location. The prototype will first be fed a video where it
detects when an accident occurs, it detects for its serverity and will only
take which has a serverity higher than 50 % to inform the first responders."
