Vehicle Accident Detection System using Deep Learning Model

For the time being, car accidents are the leading cause of fatalities. There appears to be a correlationbetween the increase in vehicle deaths and the growth in automobile manufacturing. Due to an increasingtrend of people being careless, which has serious implications, metropolitan regions also show a highermor tallit rate. Many people believe that the increased frequency of car accidents is due in large part to thefact that there are so many different modes of transportation available nowadays. The increasing numberof cars using the road networks is causing the trend in traffic, both vehicle and passenger, to increase.They pose a risk to the nervous and physiological systems of the body. Consequently, automatic accidentdetection methods that are both practical and based on principles from the field of image processing arerequired. Image normalization methods, Mobile Net Neural Networks, and a Decision Tree algorithm forauto accident detection are all part of the methodology used to accomplish this goal.