06-05-2014, 03:17 PM
ACCIDENT AVOIDANCE AND DETECTION ON HIGHWAYS
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ABSTRACT:
Technological approaches for detecting and
monitoring fatigue levels of driver fatigue continue to
emerge and many are now in the development,
validation testing, or early implementation stages.
Previous studies have reviewed available fatigue
detection
and
prediction
technologies
and
methodologies. As the name indicates this project is
about advanced technologies in cars for making it
more intelligent and interactive for avoiding accidents
on roads. By using ARM7 this system becomes more
efficient, reliable & effective. There are very less
number of systems implemented on human behaviour
detection in or with cars. In this paper, we describe a
real-time online safety prototype that controls the
vehicle speed under driver fatigue. The purpose of
such a model is to advance a system to detect fatigue
symptoms in drivers and control the speed of vehicle
to avoid accidents. The main components of the
system consist of number of real time sensors like gas,
eye blink, alcohol, fuel, impact sensors and a software
interface with GPS and Google Maps APIs for
location.
Software Overview
The software selection is the backbone of the entire
project. Software development includes programs written for
the interfacing of the Microcontroller with LCD display,
keyboard, ADC, Auto-dialing circuit and the mobile interface.
The codes written for the Microcontroller are best explained
with the help of the flow charts included in this chapter.
CONCLUSION
It is due to the driver’s fatigue, traffic accidents keep
with a yearly increasing of a high rate. This paper shows
the new fatigue detection algorithms & techniques using
eye blink, alcohol, impact, gas, etc. sensors. In this
technique the fatigue will be detected immediately and
regular traps the events driver and third party. Through
research presented in this paper, we propose an intelligent
car system for accident prevention and making the world
a much better and safe place to live.