2. INTRODUCTION
Now-a-days, driver drowsiness is a significant factor in fairly large number of
vehicle accidents. From 2013 -2017, more than 4000 people died due to
drowsy driving. Drowsy driving led to 795 deaths in 2017.
Therefore, a technology to prevent and detect driver drowsiness is a major
challenge in the field of accident avoidance systems. Since the drowsiness
presents a hazard on the road, therefore counteractive methods need to be
developed to deal with its effects.
3. The focus of this project is on designing a system that will accurately monitor
the duration of open or closed state of the driver’s eyes in real-time. By
monitoring the eyes, the driver can be alerted well in advance to avoid accidents
and this is possible if eye closed for long time.
OBJECTIVE
The aim of this project is to develop a prototype for drowsiness detection
system which helps prevent road accidents on large scale
5. METHODOLOGY
The web camera sense the eye blinking of the driver while driving by using the concept of
deep learning.
deep learning compares the image of the eye with which already trained .
If it detects the closing of the eye, the mobile display the confirmation message to the
driver for confirmation of his not drowsy.
If the driver fails to response the message shown, then the buzzer will on for the alerting
the driver.
6. After the completion of given seconds, the module takes the picture of the driver
being drowsy.
It passes the message, Image and location of driver to the owner through mobile
android application via mail.
The sensing of drowsiness, capturing the image through mobile camera and
sending details to the owner via mail are the most essential goals.
After completion of sending of the image, the speed will be limited or reduced.
7. LITERATURE SURVEY
AUTHOR
1) Kusuma Kumari BM ,
Sampada Sethi, Ramakanth
Kumar P, Nishant Kumar,
Atulit Shankar
TITLE
Driver Drowsiness Detection
System Using Sensors
a
DESCRIPTION
A low-cost and simple distributed sensors model that is particularly
suitable for measuring eye blink of the driver, accident and hand
position on a steering wheel. These sensors can be used in
automotive active safety systems that aim at detecting driver’s
fatigue, a major issue to prevent road accidents. The key point of
this approach is to design a prototype of sensor units, so that it can
serve as platform for integrating different kinds of sensors into the
steering wheel. The wheel is slowed or stopped depending on the
condition.
DISADVANTAGE
a. The driver has to wear the eye blink sensor frame while driving.
b. Only one DC motor has been used which represents only one
wheel of the vehicle.
8. 2) Jyotsna Gabhane , Dhana shri
Dixit, Pranali Mankar , Ruchika
Kamble, Sayantani Gupta5
Drowsiness Detection
and Alert System
Truck drivers, company car drivers and shift workers
are the most at risk of falling asleep while driving.
Majority of the accidents occur due to the
drunkenness of the driver. The burden of which lies on
the company owner as they are made liable. It can
lead to economic loss. In this presentation we present
an adaptive driver and company owner alert system
and an application that provides driving behaviour to
the company owner
DISADVANTAGE
a. The driver has to wear the eye blink sensor frame
while driving.
b. The speed of the car can’t be controlled in this
method
12. ADVANTAGES
The driver no need to wear any spectacle for the sensing system
mechanism.
There are four DC motors are used for the speed limit process for the vehicle.
