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  Published Paper Details:

  Paper Title

AUTOMATIC DETECTION OF DROWSINESS AND ALERT SYSTEM USING ADVANCED HAAR CASCADE ALGORITHM

  Authors

  Karthikeyan S,  Gowtham R,  Yasodha P,  Nitheesh M,  Baskaran D

  Keywords

Driver Drowsiness Detection; Yawn Detection; Real Time Implementation; Smart Vehicular Systems

  Abstract


Drowsiness among drivers is the main reason for road accidents every year in India. Many of the drivers, especially the heavy vehicle drivers will drive mostly at early morning. The lack of sleep from five to eight hours is one of the main reasons for drowsiness. Drowsiness can imbalance the reaction time and decision making skills of drivers and this can increase the cause of road accidents. These accidents are more likely to result in death or severe injuries, as they tend to be in high speed and the driver in drowsiness state can�t able to apply the break. Hence it is essential to create a smart system that will detect and alert the state of the driver while driving. Although there are few solutions available for this system, Most of them remain only in theory and not implemented practically in real time system. In this paper, we propose an efficient drowsiness detection and alert system mainly using camera. This system is implemented in real time and the results are more accurate when compared to the other existing systems.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2004434

  Paper ID - 193750

  Page Number(s) - 3070-3075

  Pubished in - Volume 8 | Issue 4 | April 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Karthikeyan S,  Gowtham R,  Yasodha P,  Nitheesh M,  Baskaran D,   "AUTOMATIC DETECTION OF DROWSINESS AND ALERT SYSTEM USING ADVANCED HAAR CASCADE ALGORITHM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 4, pp.3070-3075, April 2020, Available at :http://www.ijcrt.org/papers/IJCRT2004434.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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