Paper Key : IRJ************516
Author: Subhash K A,Dr.chandrika J,Samhitha K S,Reeshu Ranjan,Rajat Koorse
Date Published: 12 Jan 2023
Abstract
There are more occurrences of death and disability annually due to daily traffic accidents. The majority of fatalities happen as a result of the slow response to these emergency situations. The period immediately following a catastrophic injury is referred to as the "golden hour," during which rendering immediate, life-saving medical and surgical care raises the likelihood of human survival. Accidents still happen despite all the contemporary advancements. Human safety and efficient traffic management depend on the rapid reporting of accidents to emergency facilities like hospitals or police stations in order to provide victims with emergency medical care. Different domains can be used for accident detection. Most of the publications examined use sensor technology, besides attempting to use computer vision and machine learning from surveillance cameras to automatically detect accidents. Any type of mishap is automatically reported as an alert to the necessary location. This review article explores methods for detecting traffic accidents on a road monitored by security cameras using machine learning and neural networks.