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  1. Home
  2. Volume 7, Issue 9
  3. Authors

Online ISSN: 2515-8260

Volume7, Issue9

IOT Based Driver Drowsiness Detection and Health Monitoring System

    Sathish Kumar. R Nivedha. K Anitha. K Jayaprakash. D

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 9, Pages 1581-1590
10.31838/ejmcm.07.09.173

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Abstract

This guide discusses driver somnolence and fatigue-related safety criteria. FatigueDriver exhaustion is usually a very severe issue in many thousand bridge crashes a year. The exact number of accidents can not be calculated due to sleepiness, but research shows that 20% of accidents occur only through fatigue (rospa).This platform gives the Eye-Blink Surveillance System USB camera and provides a buzzer that warns the driver during a state of sleep. Driver health monitor is provided through a wearable heart beat sensor, temperature sensor, by means of the proposed web application design manager will check system parameters and send a message to his college colleague. The alcohol indicator is used to measure the drug level of a driver and the pace of the car reduces if this condition occurs
Keywords:
    Health Monitoring Alcolhol Detection Eyes Detection
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(2020). IOT Based Driver Drowsiness Detection and Health Monitoring System. European Journal of Molecular & Clinical Medicine, 7(9), 1581-1590. doi: 10.31838/ejmcm.07.09.173
Sathish Kumar. R; Nivedha. K; Anitha. K; Jayaprakash. D. "IOT Based Driver Drowsiness Detection and Health Monitoring System". European Journal of Molecular & Clinical Medicine, 7, 9, 2020, 1581-1590. doi: 10.31838/ejmcm.07.09.173
(2020). 'IOT Based Driver Drowsiness Detection and Health Monitoring System', European Journal of Molecular & Clinical Medicine, 7(9), pp. 1581-1590. doi: 10.31838/ejmcm.07.09.173
IOT Based Driver Drowsiness Detection and Health Monitoring System. European Journal of Molecular & Clinical Medicine, 2020; 7(9): 1581-1590. doi: 10.31838/ejmcm.07.09.173
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