BibTeX:

@article{IJIRSTV3I1159,
     title={Driver Drowsiness Detection With Audio-Visual Warning},
     author={Nikita G. Prajapati and Ms. Pooja M. Bhatt},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={3},
     number={1},
     pages={294--300},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV3I1159.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Driver drowsiness is one of the major causes of road accidents and it can lead to serious physical injuries, loss of human life, damage to property & loss of money. So a reliable driver drowsiness detection system is needed to be implemented, which could alert the driver before anything undesired happens. In this paper, design and implementation of ‘Driver Drowsiness Detection System with Audio-Visual Warning’ will be discussed. This system is to be developed for car driver, but the scope of this system is far more than it. It can be used in any situation where a person’s drowsiness is needed to be monitored. The proposed system will use a camera that takes images of driver’s face and monitors the driver’s eyes in order to detect drowsiness of driver. When fatigue is detected, the alarm will be used to alert the driver. The proposed system will work in three main stages, in first stage the face of the driver is detected and tracked. In the second stage the facial features are extracted for further processing. In last stage, eye’s status is monitored. In this last stage it is determined that whether the eyes are closed or open. On the basis of this result the warning is issued to the driver. For this Raspberry pi with raspbian (Linux) OS is used. The camera will be connected through USB port of Raspberry pi. The image processing will be done using OpenCV.

Advanced Vehicle Safety, Driver Drowsiness Detection, Driver Fatigue, Raspberry-pi, Raspbian, Vehicle Accident Warning