Papers › REAL-TIME DROWSINESS DETECTION (RTD2)
REAL-TIME DROWSINESS DETECTION (RTD2)
Sri Krishna H V, Tarun Srinivas, Kedarnath R Gubbi, Vijay Kumar S
In the present era, where the roads are filled with vehicles all the time, accidents are prone to happen. Studies show that over 50% of these road accidents in a year, are due to driver drowsiness and fatigue. Many attempts have been made to develop a solution to this problem to detect when the driver is drowsy, but everything has its own set of limitations. Our project aims to solve this problem by detecting the drowsiness of the driver and sending an alert. We propose to use the Dlib Library to detect the driver’s face, and a number of landmarks are plotted on the entire face of the driver. Using these landmarks, various calculations and comparisons take place to check whether the drivers’ eyes are closed or open, and whether the driver is yawning or not. From this, the system determines whether the driver is drowsy or not. If the driver is found to be drowsy, an audio and visual alert is triggered to alert the driver. With this project, we aim to help society by reducing road accidents, and saving lives and property.
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