International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 02 Issue: 03 | June-2015 www.irjet.net p-ISSN: 2395-0072
© 2015, IRJET.NET- All Rights Reserved Page 1044
ENSURING ALERTNESS IN HIGH RISK AREAS BY COUNTING BLINKS.
Gaurav Gulhare
1
Tarun Dhar Diwan
2
,
1
Mtech Scholar , CSE Department, Dr.C.V.Raman University, Chhattisgarh, India
2
Assistant Professor, Government E.R.R.P.G Science College, Chhattisgarh, India
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Abstract: In this paper we are considering eye blinks
for measuring alertness. Eyes are the most important
sensitive organ, if any person feels drowsy his eyes
blinks pattern and eye blink count changes. This change
in blink count tells us that the person level of alertness
has changed. People in high risk areas like border
security force personnel, nuclear power plant fuel rod
observer, security guard cabins of important buildings
(parliament, airport, VIP residence, Army or Police head
office, armoury, banks) needs to be alert. In our
research we will count blinks in common situation and
then we count blinks in working situation. If any
difference in these blinks count is observed, then change
in awareness is there, hence an alarm is initiated. In this
system human-computer interface is there. The blinks in
our system are counted by the software we have
developed in matlab. When the system found the person
in in attentive state it starts the alarm, this alarm
buzzes continuously until it is switched off by the
person. The system works as human computer interface.
Key words: Eyes, Blinks, high risk areas, awareness,
human-computer interface, Alarm.
1. INTRODUCTION
Lack of awareness of security guards is one of the prime
causes of crossing line of control, terrorist attack on
important buildings, theft, robbery, smuggling and other
security issues. If the attentiveness of all such security
agents is ensured then the chance of occurrence of any
catastrophe is avoided. All the high risk areas need
continuous and keen watching. The people involved in this
needs to be very watchful and their watchfulness can be
ensured by our eye blink counting mechanism which has
an alarming system, if any person in security field is found
inattentive then the system easily detects it and alarm is
turned on. We have developed such a software that
measures the difference in blinks in normal and in drowsy
state.
Image sequence of the person is taken manually and
then it is taken automatically.
Image sequence taken manually and automatically
while working was found approximately same.
In this software images of both the eyes are
considered.
The software detects the presence of eyes and then it
measures the blinks.
Our software will ensure awareness of people in high
risk areas.
Fig . 1 Main steps for detecting tiredness