Keywords : Drowsiness detection methods
European Journal of Molecular & Clinical Medicine,
2020, Volume 7, Issue 4, Pages 1264-1268
The paper's motive is to demonstrate the implementation of a driver’s drowsiness detection using MATLAB through image processing. Studies suggest that about one-fourth of all serious road accidents occur because of the vehicle drivers' drowsiness where they need to take, confirming that drowsiness gives rise to more road accidents than accidents occur through Drink and Drive. Drowsiness Detection System is designed by employing vision-based concepts. The system’s main component is a small camera pointing towards the driver's face scan and monitoring the driver's eyes to detect drowsiness. First of all, the system scans the driver's face then the eyes and then confirms whether the eyes are open or close using the software MATLAB and therefore, the algorithms used are the Viola-Jones and Hough transform. The machine deals with images binary to scan the facial sides, narrowing the area where the eyes will reside. Suppose the eyes are observed as closed for five or more successive frames. In that case, the system monitors the driving force's activeness and concludes that the driver is falling asleep and issues an alarm or generates an alarm signal to wake him up.