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- W2312798031 abstract "With the growth in population, the occurrence of automobile accidents has also seen an increase. A detailed analysis shows that, around half million accidents occur in a year , in India alone. Further , around 60% of these accidents are caused due to driver fatigue. Driver fatigue affects the driving ability in the following 3 areas, a) It impairs coordination, b) It causes longer reaction times, and, c)It impairs judgment. Through this paper, we provide a real time monitoring system using image processing, face/eye detection techniques. Further, to ensure real-time computation, Haarcascade samples are used to differentiate between an eye blink and drowsy/fatigue detection." @default.
- W2312798031 created "2016-06-24" @default.
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- W2312798031 date "2013-11-02" @default.
- W2312798031 modified "2023-10-02" @default.
- W2312798031 title "Real Time Drowsy Driver Detection Using Haarcascade Samples" @default.
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- W2312798031 doi "https://doi.org/10.5121/csit.2013.3805" @default.
- W2312798031 hasPublicationYear "2013" @default.
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