BibTeX:

@article{IJIRSTV1I11075,
     title={Detection of Drowsiness and Fatigue level of Driver},
     author={Shreya.P.Patel, Bhumika.P.Patel, Madhu Sharma, Nisha Shukla and Hinaxi.M.Patel},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={11},
     pages={133--138},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I11075.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Driver’s inattentiveness is one of the main causes for most accidents related to vehicle crashes. Safe driving is the major concept in the societies to reduce accidents. Long distance driving cause driver fatigue due to which heavy accident occurs of vehicles like cars, aero planes, trucks etc. So it is very necessary to prevent the accidents all over the world. This paper presents the procedure of driver’s drowsiness detection system which measures the drowsiness and fatigue level of driver. An initial buzzer is used to alert the driver after the system detects that the driver is in drowsy condition. In this system a camera is placed in front of driver’s face in car which records the video of driver. The MATLAB will be used to detect the eye of driver that is conducted using the process of extraction of face image from the live video and in case if it detects the eye closure for certain threshold time period then it beeps the alarm to aware driver. We also describe the procedure to measure the open and close of eye so from that we can accurately detect the drowsiness and fatigue level. The main criteria of this system must be that it is highly non-intrusive and the driver should not be responsible to give any kind of feedback to system.

Inattentiveness, fatigue, drowsiness, threshold, detection system