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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