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Real Time Detection System of Driver Fatigue

Pranali Shelke, Shraddha Magar, Rutuja Jawkar, ,

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Abstract

The leading cause of vehicle crashes and accidents is the driver distraction. With the rapid development of motorization, driver fatigue has become a very serious traffic problem. Reasons for traffic accidents are driving after alcohol consumption, driving at night, driving without taking rest, aging, sleepiness, and fatigue occurred due to continuous driving, long working hours and night shifts. So to reduce rate of accidents due to above reasons, is aim of this project. This paper presents a method for detection of early signs of fatigue using feature extraction, Haar classifier and delivering of information and whereabouts of the driver to the emergency contact numbers.

Citation

Pranali Shelke et al., International Journal of Computer Engineering In Research Trends Volume 3, Issue 4, April-2016, pp. 197-198

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