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IOT Based Driver Drowsiness Detection and Health Monitoring System

    Authors

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

    Meenakashi Academy of Higher Education Research Chennai, TamilNadu, India

,

Document Type : Research Article

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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European Journal of Molecular & Clinical Medicine
Volume 7, Issue 9
December 2020
Page 1581-1590
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  • Article View: 551
  • PDF Download: 1,003

APA

R, S. K., K, N., K, A., & D, J. (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

MLA

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

HARVARD

R, S. K., K, N., K, A., D, J. (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

VANCOUVER

R, S. K., K, N., K, A., D, J. 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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