International Journal of Advanced Innovative Technology in Engineering (IJAITE)

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Real-Time Driver Drowsiness Detection and Alert System

Madhuri Omprakash Dasariya, Anshul Premchand Dahiwale, Shrikant Chaitram Waghmare, Himanshu Raju Moon, Prof. Pradip O. Balbudhe

Abstract :

The development of technologies for preventing drowsiness at the wheel is a major challenge in the field of accident-avoidance systems. Driver fatigue resulting from sleep deprivation or sleep disorders is an important factor in the increasing number of accidents on todays roads. In proposed system method for detecting drowsiness will be implemented with the help of a web camera facing toward the drivers face for video capturing. Once the video is captured, monitor the face region and eyes in order to detect drowsy/fatigue. The system is able to monitor the eyes and determines whether the eyes are in an open position or closed state. In such a case when drowsy is detected, a warning signal is issued to alert the driver. The purpose of this project is to advance a system to detect fatigue symptoms in drivers and produce timely warnings that could prevent accidents. This report presents an approach for the real-time detection of driver fatigue.

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