CFP last date
20 June 2024
Reseach Article

Intelligent Car System to Prevent Accident Due to Exhaustion

Published on December 2015 by Yashwanth S.d., Shankaraiah
National Conference on Power Systems and Industrial Automation
Foundation of Computer Science USA
NCPSIA2015 - Number 4
December 2015
Authors: Yashwanth S.d., Shankaraiah
10d3f65c-4004-4833-acd2-6f95584fcbcd

Yashwanth S.d., Shankaraiah . Intelligent Car System to Prevent Accident Due to Exhaustion. National Conference on Power Systems and Industrial Automation. NCPSIA2015, 4 (December 2015), 27-30.

@article{
author = { Yashwanth S.d., Shankaraiah },
title = { Intelligent Car System to Prevent Accident Due to Exhaustion },
journal = { National Conference on Power Systems and Industrial Automation },
issue_date = { December 2015 },
volume = { NCPSIA2015 },
number = { 4 },
month = { December },
year = { 2015 },
issn = 0975-8887,
pages = { 27-30 },
numpages = 4,
url = { /proceedings/ncpsia2015/number4/23352-7283/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Power Systems and Industrial Automation
%A Yashwanth S.d.
%A Shankaraiah
%T Intelligent Car System to Prevent Accident Due to Exhaustion
%J National Conference on Power Systems and Industrial Automation
%@ 0975-8887
%V NCPSIA2015
%N 4
%P 27-30
%D 2015
%I International Journal of Computer Applications
Abstract

This Paper is based on the road accidents occurring due to driving while intoxicated or negligence of the driver health anomaly of the driver and enhances the security system of the vehicle. As an occurrence of death by accident rate is increasing day by day, the above mentioned are implemented to reduce the accident rate. The accidents due to the drowsy state of the driver is prevented using eye blink sensor. Similarly accidents due to the intoxicated state are prevented using alcohol sensor which detects the alcohol from breath of the driver, if the driver is drunk then the buzzer indicates and the vehicle doesn't allow the driver to start the vehicle. If the driver is heavy-eyed, then the system will give buzzer signal and the speed of the vehicle is reduced.

References
  1. Collision Prevention Using Eye Blinking and Head Movement (Proceedings published in International Journal of Computer Applications® (IJCA))
  2. Physiological indicators based sleep onset prediction for the avoidance of driving accidents. (IEEE Paper).
  3. Journal of Neuroscience Methods. (www. elsvier,com/locate/jneumeth)
  4. Journal of Neuroscience Methods. (www. elsvier,com/locate/jneumeth)
  5. Blink behavior based exhaustion detection. (From Linköping University, Dept. Biomedical Engineering, and LiU-IMT-EX-04/369 Linköping).
  6. The AT Mega microcontrollers and Embedded Systems book by Muhammud Ali Mazidi, Janice Gillispe Mazidi
  7. Eye Blinking Monitoring System for Vehicle Accident Prevention. (International Journal ISSN 0974-2174 Volume 3, Number 3 (2010).
  8. Sensors and Actuators: Physical (www. elsevier. com/locate/sna).
Index Terms

Computer Science
Information Sciences

Keywords

Driver Exhaustion Perception Alcohol Detection In Vehicles Automatic Vehicle Movement Control Ir Sensor.