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INTERNATIONAL JOURNAL OF PHARMACEUTICAL RESEARCH

A Step Towards Excellence
Published by : Advanced Scientific Research
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0975-2366
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IJPR 9[3] July - September 2017 Special Issue

July - September 9[3] 2017

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Smart Monitoring System of Stress and Drowsiness Using Sensors on IoT

Author: PRADEEP SUDHAKARAN, C. MALATHY, B. SATHVIK, M. SAI SANDEEP
Abstract: The dimension of worry for drivers will have a more prominent effect while driving. Driver stress may influence driver execution and makes numerous mishaps. In some cases numerous blameless lives are lost due to driver feeling of anxiety. Stress is something we can't ready to physically observe and recognize, hence extraordinary kinds of sensors like heartbeat, ECG, understudy expansion, circulatory strain, breath rate, skin reaction are utilized to foresee feeling of anxiety of the driver and driver conduct while driving. Driver conduct parameters like ECG, Eye flickering, speed, controlling point, and turn flag can be checked while driving. These parameters may be useful to eyewitness driver's diversions also. In this task, to defeat the test we have proposed genuine information gathering, IoT based sharing and information examination. To acquire driver stress we are intending to coordinate heartbeat and eye flicker sensors to anticipate the feeling of anxiety and languor of the driver amid driving. Progressively these sensors would be installed in the driver glass. The driver information are gathered from the sensors transmitted to the microcontroller and utilizing RS232 link the genuine and dynamic driver information are transmitted to the framework. The ongoing information from the COM port are gotten utilizing Net beans and spared in SQL database. The ongoing information can be checked by vehicle administration focuses, transport proprietors and adjacent vehicle boarding point. The driver information are put away in open cloud server in particular CloudMe.
Keyword: IOT, Cloud, Data Analytics
DOI: https://doi.org/10.31838/ijpr/2020.12.02.0125
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