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World Journal of Engineering Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)

ISSN 2454-695X

Impact Factor : 7.029

ICV : 79.45

WJERT Citation

  All Since 2020
 Citation  172  110
 h-index  7  5
 i10-index  1  0

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Abstract

REAL TIME DETECTION OF DRIVER DROWSINESS USING AI TECHNOLOGIES

Bhavana D.* and Parinitha J.

ABSTRACT

The World Health Organisation has identified road traffic injuries as a major global public health problem. Most of the accidents occur due to driver?s drowsiness. Early detection driver drowsiness can reduce the number of accidents occurring. Driver drowsiness can be identified by various factors driver?s physiological features, Driver?s visual features and vehicle variables. In this paper we have discussed about the classification of human driver Inattentive and Aggressive Driving Behavior (HIADB). Followed by briefly discussed about the different approaches and technologies used for early detection of Driver?s Drowsiness. Compared the different approaches used for detection of Face, Eyes, Mouth, processing techniques, imaging techniques popular methods is discussed based on the advantages and limitations. Finally concluded with which is the best approach used for face, eye and mouth for face tracking Driver?s Drowsiness detection.

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