Cost-Efficient system to alert and reduce fatality of accident

In India, road accidents are drastically increasing year on year. Out of 100 accidents,35 percent of accidents are causing fatality to the customers. To tackle this problem, we will utilize this procedure to decrease the occurrence of fatal accidents in India, especially in four-wheelers using Machine Learning Applications. In this concept, we are going to train the Algorithm with videos of different fatality accidents and predict whether the incident are going to happen or not. Steps included in this concept need to process the input real-time video going as feed to the algorithm after feeding input to the algorithm, it will process the video in real time and identify the objects in the input video and constantly check the parameters like what are the objects present in the video and calculates the speed of each object further algorithm calculates the estimated time to reach that particular object and it will classify whether vehicle hit the object or not. To achieve this deep learning techniques are considered for building the model and using the jetson Nano developer kit device for development and validation.