Raspberry Pi Based Low Cost High Accuracy State Estimation for Accident Collision to Prevent Vehicle
Abstract
Technological approaches for detecting and monitoring fatigue levels of driver fatigue continue to emerge and many are now in the development, validation testing, or early implementation stages. Previous studies have reviewed available fatigue detection and prediction technologies and methodologies. As the name indicates this project is about advanced technologies in cars for making it more intelligent and interactive for avoiding accidents on roads. By using microcntroller this system becomes more efficient, reliable & effective. There are very less number of systems implemented on human behavior detection in or with cars. In this paper, we describe a real-time online safety prototype that controls the vehicle speed under driver fatigue. The purpose of such a model is to given message to the hospital through GSM modem when accident occurs.
