Driver’s from the road and results in severe

Drowsiness Detection And Alerting System

A.Shirley Pradeeksha  P.Sowmiyaa, S.K.Vedhashree

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Electronics and Communication Engineering

M.Kumarasamy college of engineering



Abstract— A large majority of road accidents are relatively of driver fatigue,
distraction and drowsiness. Now a day’s many accidents are increased, so
various technologies are  introduced to
reduce the road accidents. One of that mistakes, a driver can lead to severe
physical injuries, death and significant economic losses also. Driver’s
drowsiness detection and alerting system also used to reduce the road accidents.
Thus to prevent road accidents, a device has to be used. Our main objective is
to develop the system which detects the drowsiness of the driver and also
indicate the driver about their fatigue condition by the alert warning.In this
project we are using eyeblink sensor to detect the drowsiness of the driver.

Keywords—Drowsiness detection, Monitiring driver’s behaviour,eye blink moment,Accident


I. Introduction

Drowsiness is a state resulting in reduction of consciousness caused due
to lack of sleep or fatigue. Due to drowsiness, drive loses control of the
vehicle which may deviate him/her from the road and results in severe
accidents. Most of the accidents caused today by cars which is  mainly due to the driver fatigue. Driving for
a long period time causes excessive fatigue and tiredness which turns makes the
driver sleepy or loose awareness. With the very fast increase in the number of
accidents seems to be increasing day by day. Therefore, a need arises to design
a system which keeps the driver focused on the road.  The purpose of this project is to develop a
model for a driver fatigue detection that basically measures a driver’s fatigue
through face detection. The focus is based on designing the system that will
monitor driver fatigue in real-time. An example is Percentage of Close and Open
(PERCLOS). This detection can be done using a sequence of images of eyes as
well as face and head movement. The observation of eye movement and


its  edges for the detection will be used. Devices
to detect when drivers are falling asleep and to provide warning.If the person
consumed alcohol it can be easily detected by alcoholic sensors.


II.Literature survey

1 Drowsy Driver Sleeping Device and
Driver Alert System(April 2014)

for Detecting Drowsy Drivers 

            Here various techniques are used to
detect the drowsiness of drivers. These techniques can be classified into the
following categories: sensing of physiological characteristics, sensing of
driver operation, sensing
of vehicle response,
monitoring the response of  the driver.

Physiological Characteristics

            Among those methods, the techniques
that are best, based on accuracy are the ones based on Human physiological
phenomena.This technique is implemented in two ways: Measuring changes in
physiological signals, such as brain waves and eye blinking; and measuring
physical changes such as sagging posture, leaning of the driver’s head and the
open/closed states of the eyes . The first method, is the most accurate, which
is not realistic, since sensing electrodes would have attached directly onto
the driver’s body, and hence be annoying and distracting the driver. In
addition, long time driving would result in perspiration on the sensors,
diminishing their ability to monitor accurately. The second technique is well
suited for real world driving conditions since it can be non-intrusive by using
optical sensors of video recording  cameras to detect changes.

2. Drowsiness Detection System for
Car Assisted Driver Using Image Processing(December 2015)

            Driver in-alertness is an important
cause for most of the accident related to the vehicles crashes. Driver fatigue
resulting from sleep deprivation or sleep disorders is an important factor in
the increasing number of the accidents on today’s roads. Drowsy driver warning
system can form the basis of the system to possibly reduce the accidents
related to driver’s drowsiness. The purpose of such a system is to perform
detection of driver fatigue. By placing the camera inside the car, we can
monitor the face of the driver and look for the eye-movements which indicate
that the driver is no longer in condition to driver is no longer in condition
to drive. In such a case, a warning signal should be issued. This paper
describes how to ?nd and track the eyes. We can also describe a method that can
determine if the eyes are open or closed. The main criterion of this system is
that it must be highly non-intrusive and it should start when the ignition is
turned on without having at the driver initiate the system. Nor should the
driver be responsible for providing any feedback to the system. The system must
also operate regardless of the texture and the color of the face. It must also
be able to handle diverse condition such as changes in light, shadows,
re?ections etc. In given paper a drowsy driver warning system using image
processing as well as accelerometer is proposed

3. A Survey Paper On Drowsiness
Detection & Alarm System for Drivers(December 2016)

            Our safety is the first priority
while travelling or driving. One mistake of the driver can lead to severe
physical injuries, deaths and significant economic losses. Nowadays there are
many systems available in market like navigation systems, various sensors etc.
to make driver’s work easy. There are various reasons especially human errors
which gives rises to the road accidents. 
Reports say that there is a huge increment in the road accidents in our
country since last few years. The main reason occurring from the highway
accidents is the drowsiness and sleepiness of driver while driving. It is a
necessary step to come with an efficient technique to detect drowsiness as soon
as driver feels sleepy. This could save large number of accidents to occur. We
conduct the survey on various designs on drowsiness detection methods to reduce
the accidents. 


4. Driver Fatigue Detection(2016)

            Driver fatigue detection is a term
used to develop a nonintrusive system which can detect fatigue of the driver
and issue a timely warning. The idea behind this project is to monitor the
driver’s eyes using a camera in real time and to develop algorithm that can
detect driver fatigue. Besides, the system also produces warning output in a form
of sound once fatigue is detected.

Eye Monitoring System for Road Transportation Safety(April 2017)

            The Research paper focuses on impact
and importance of eye monitoring system to avoid road accident cases. Recently
driver sleepiness and fatigues are major factors responsible for fatal road
accidents. The current research work monitors blinking of the driver’s eyes.
Many a times, the drowsiness/fatigue of driver may results in sleep indication,
unconsciously eyes get closed and the focus on driving gets distracted. In the
designed eye monitoring system sensors are used to check that the eye lids are
closed more than 5 seconds then these sensors will generates the voice signal.
The voice signal is generated from the sensors are in the form of the audio voice
signal. Audio signal will be amplified and resulting in loud voice alarm.
Thereby resulting in strong voice alarm and making driver alert. Hence, within
a few seconds driver will regain his focus and control the vehicle in an
effective manner. Thus it will helps in avoiding any future road accidents due
to the sleepiness and Fatigue


III. Experimental

This block diagram consisting of eye blink sensor,alcoholic sensor,
temperature sensor, microcontroller, LCD display, relay, light indicator, driver
circuit, gear motor, LED. The
input of the three sensors are fed to the ATMEL microcontroller .If the
eyeblink of a person is decreased the alarm will be given to the driver and
automatically the car will slow down and indicate the vechicle coming at the
backside of the car this will be indicated by LED.If the driver has consumed
alcohol it will be detected by alcoholic sensor and indicated in LCD.








Power supply



























In our
project the eye blink sensor is placed near the eye to sense the blink count
and this information is transmitted in the form of pulses and is given to the
Microcontroller. The Microcontroller uses this information to compare with the
normal eye blink programmed in the chip and if any abnormal situation arises
the vehicle is stopped with an alarm indication, this operation is enabled by
means of the driver circuit connected to the vehicle motor . This project prevents the accident
due to alcohol consumption. The alcohol consumed by the driver is measured by
sensor. The output from the sensor is given to the controller through the
signal conditioning unit. If any abnormal condition takes place the controller
will alarm and also controls the speed of the vehicle.By using gear motor near
the engine can slow down the car and indicate for the vechicle behind in order
to avoid mishap in traffic areas.In our system we are using LED,LCD and gear
motor.LED is used to indicate the divers in backside of our vechicle.LCD is
used to display the conditions of the drivers weather he is in drowsy condition
or not.


IV.Research And

The drivers drowsiness detection is used to prevent accidents in road
transpotation.It is one of the safety technology to prevent road accidents that
caused bydrivers drowsiness or by consuming alcohol.

In current research work is based on the blinking of eye lids many times
so the result will be the sleep indication,without the persons knowledge the
will get closed and the driver gets distracted so accidents will occur.

In this project if the eye will not blink 10-12 seconds continously the
eye blink sensor will recieve the infrared from the eye and transmit the
infrared to the eye so by this indication it will give a alaram sound and it
will slow down the vechicle it will also indicate the vechicle who will be
coming at the back of the vechcile

Benfits of the device


     less cost

     ease installation

Benfits of the system


     Easy to use


V.Conclusion and
future work

This project
represents an example of systematic approach to the assessment of wearable
sensors for physiological parameter measurement.

            If  it 
is  fixed  in 
vehicles  and  used 
as  a  public 
source. By this
project driver’s drowsiness  is monitored
continuously. In case of any trouble, they will be alarmed and dispaly easily.
Lately as per IRB survey it had indicated that 27 % road accidents are due the
driver fatigue, sleepiness & drowsiness. So as to avoid road accidents
designing driver drowsiness detection system will be certainly fruitful. Thus
it is concluded that eye monitoring system is one of the rapid method for
making driver alert if drowsiness or fatigue is experienced while driving. It
is one of the most efficient method that can help us to reduce incidences of
fatal road accidents caused due to the driver fatigue, sleepiness &
drowsiness. We developed a system that localized and track the eyes and head
movements of the driver in order to detect drowsiness. The system uses a
combination of template based matching in order to localize the eyes. During
tracking, system will be able to decide if the eyes are open or closed and
whether the driver is looking in front. When the will be closed for too long, a
warning signal will be given in the form of buzzer or alarm kit message. In
future, this project will be enhanced in aircraft system for fast and accurate


1) Jayasenan J. S1, Mrs. Smitha P. S2 1Student, M.Tech Signal
Processing, Department of electronics and communication engineering,Sree Chithra
Thirunal College of Engineering and Technology, Pappanamcode,Trivandrum
2Assistant Professor, Department of electronics and communication
engineering,Sree Chithra Thirunal College of Engineering and Technology,
Pappanamcode,Trivandrum  Volume 4, Issue
1, Ver. I (Jan. 2014),

2) Miss. Kanchan Manohar Sontakke   Computer Science And Engineering, Khurana,
Sawant Institute Of Engineering , Hingoli, SRTM University
NandedMSIndia , Volume 5, Issue 7, July 2015

3) Sharad S. Nagargoje1, Prof. D. S. Shilvant2

1PG Student, 2 Assistant Professor, Department of Electronics
& Telecommunication, Shreeyash College of Engineering & Technology,
Aurangabad, Maharashtra, India Vol. 3, Issue 4, pp: (175-179), Month:  October – December 2015    

4) Prakash Choudhary1, Rahul Sharma2, Gautam Singh3, Smarjeet
Das4 1,2,3,4 Professor Sumedh G. Dhengre, Dep. Of Computer Engineering, AISSMS
COE, Pune, Maharashtra, India Volume: 03 Issue: 12 | Dec -2016

5)M.H. Abdullah · K.J. Raman · A. Azman(?)  ·S. Yogarayan · H.A.A. Elbendary ·  M.F.A. Abdullah · S.Z. Ibrahim  Faculty of Information Science and

6) Apoorva Sood1, Harsh Jain2, Vikrant Khurana3, Priti
Singh4, Karamjit Kaur5 1,2,3Student, Department of Electronics and Communication,
Amity University Gurgaon, Haryana, India 4,5Faculty, Department of Electronics
and Communication, Amity University Gurgaon, Haryana, India (2016)

7) 1Mayura Zadane, 2Pradnya Jadhav, 3Prajakta Totre,
4Tejaswini Jagdale, 5Shrilekha Mankhair 
1234Student, Computer Engineering, MES College of Engineering, Pune,
Maharashtra, India, 5Professor, Dept. Of Compter Engineering, MES College of
Engineering, Pune, Maharashtra, India(2017)

 Volume: 04 Issue: 05 |
May -2017  

8) Mr. Kundan V. Mane1 
Asst. Prof. Smitaraja S. Kapase2

1,2 Bharati Vidyapeeth’s Institute of Management and
Information Technology, Navi Mumbai 
Volume 3 Issue 4, April 2017  pp.
128 – 133






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