Driver Drowsiness Detection and Alert System

Driver Drowsiness Detection and Alert System

Author Name : B. Arunkumar, S. Durai Raj, V. Venkatesan

ABSTRACT

In recent few years, there has been rapid increase in road accidents across worldwide and India as well. The most significant reasons for the accidents are driver drowsiness and fatigue. The conventional vehicle safety system and the sensor-based detection for drowsiness are often very late in detecting and preventing fatalities on road. To detect the driver drowsiness of driver, currently many systems are being developed; among them the computer vision- based detection system proved to be best in detecting driver drowsiness. In the existing system, only the drowsiness of the driver is detected, no method is suggested or used to wake him up from drowsy state. The proposed system uses Raspberry pi3 processor to detect the driver drowsiness through eye closure level using eye detection algorithm. The system not only detects the drowsiness but also provide alertness to the driver through buzzer. In addition, the system also tries to wake up the driver from drowsy state by providing mild vibration to driver and sprinkling water on driver’s face.

Keywords: Raspberry pi, Open CV, image processing, Vibrator.