A mobile based novice detection of driver’s fatigue level and accident reporting solution

Abstract

The lives are made easier because of rapid growth of technology and infrastructure. The technology has increased, so the road accident take place frequently which causes huge loss of life and property because of the poor emergency facilities so this project deals with intelligent car system which is used to provide critical information of real time situations such as accidents and fatigue disorders. The status of the victims such heart rate is determined using sensor and GPS sends accident location coordinates by message to the rescue team with the help of the GSM module. This will help to reach the rescue service in time and save the valuable human life. Fatigue symptoms are also determined by eye blink sensor which continuously monitors the iris if it is not recognised for more than 5 s then the driver is sleepy, in that case a buzzer is operated and the speed of the vehicle is controlled automatically. If the driver is found to have alcohol in the breath, it warns by buzzer and then turns the ignition off. Proteus software is used here do the simulation where all sensors are coordinated with the ARM processor and the simulation is done. It is found to be accurate, robust and reliable.