Driver Drowsiness Detection System By using Python

All over the world Drowsiness has been the significant cause of horrible accidents which is causing deaths and fatalities injuries. Day by Day fatal injuries numbers are increasing globally. From the past many years, researchers have concluded drivers with a lack of sleep and more tiredness which causes drowsiness of the driver. This paper shows a new experimental model is designed for detecting drowsiness of driver is presented to reduce accidents caused by this problem which increases transport safety. In this work, two ways are used to detect the drowsiness of a person effectively. First Driver face is captured and eye retina detection and facial feature extraction are done and blinking values are calculated then threshold values are set. The result from both methods is taken as input for taking the final decision and alerting the driver. Nowadays, road accidents have become one of the major issues. The major road accidents are caused due to drowsiness, drunken, and rash driving. This is the reason, every year the number of road accidents is increasing especially by cars. Due to drowsiness, drivers become less active while driving. This paper represents to build a system for Drowsiness Detection and Warning for automobile safety and accident prevention. We are using eye detection, drowsiness detection, and eye blinking pattern detection with the help of machine vision-based concepts. In order to detect fatigue or drowsiness, web-camera has been used which points directly towards the driver’s face and detects the eye movement of the driver.