Abstract:

Driver drowsiness detection is a key technology that can prevent fatal car accidents caused by drowsy driving.

Drowsiness or fatigue is a major cause of road accidents and has significant implications for road safety.

Several deadly accidents can be prevented if the drowsy drivers are warned in time.

A variety of drowsiness detection methods exist that monitor the drivers’ drowsiness state while driving and alarm the drivers if they are not concentrating on driving.

The relevant features can be extracted from facial expressions such as eye closure, and head movements for inferring the level of drowsiness.

The biological condition of the drivers’ body, as well as vehicle behavior, is analyzed for driver drowsiness detection.

In this project we have proposed to detect driver is drowsiness and its heartbeat is working properly or not.

Driver assistance system development have been required to prevent the accidents due to driver drowsiness , because all the time he cannot control the vehicles some risks may happed due to driver’s tiredness, or inattention.

This system helps to bring the attention of a driver.

To develop an embedded system that detects driver drowsiness level and warns him or her of his or her state.

This study aims at collecting the drowsiness symptoms from the driver’s face through analysis of the driver’s eye state.

This will be achieved through processing video images obtained through a sensing technology. The outcome of the video will be used to determine the drowsiness levels and then provide a warning to the driver if he or she is drowsy.

The objectives of this project are to develop a drowsiness detection and heart attack detection system that can prevent accidents and improve safety on the roads.

This system able accurately monitors the open or closed state of the driver’s eye