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Drowsiness Fatigue Detection of Driver in Real Time


Affiliations
1 MIT College of Engineering, Pune, India
     

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Nowadays, driver drowsiness is very big issue for the road accident and which causes serious deaths and severe injuries. There are plenty of methods to detect driver drowsiness or drowsiness fatigue. Our focus point for this paper is to present a fatigue of drowsiness detection. Here we are detecting the eye location of the driver. When driver’s eye closed for more than predefined time then the driver is supposed to be said feeling drowsy and then an alarming condition is activated.


Keywords

Success Rate, Blink Detection, Open CV, Connected Component, DR, Eye Tracking, FAR.
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Abstract Views: 237

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  • Drowsiness Fatigue Detection of Driver in Real Time

Abstract Views: 237  |  PDF Views: 3

Authors

Dhaval S. Pimplaskar
MIT College of Engineering, Pune, India
Manoj S. Nagmode
MIT College of Engineering, Pune, India
R. D. Komati
MIT College of Engineering, Pune, India
Atul Borkar
MIT College of Engineering, Pune, India

Abstract


Nowadays, driver drowsiness is very big issue for the road accident and which causes serious deaths and severe injuries. There are plenty of methods to detect driver drowsiness or drowsiness fatigue. Our focus point for this paper is to present a fatigue of drowsiness detection. Here we are detecting the eye location of the driver. When driver’s eye closed for more than predefined time then the driver is supposed to be said feeling drowsy and then an alarming condition is activated.


Keywords


Success Rate, Blink Detection, Open CV, Connected Component, DR, Eye Tracking, FAR.