Security System Based on Ultrasonic Sensor Technology
EMERGENCY ALERT SYSTEM in VANET (fnl review)PPT
1. EMERGENCY ALERT SYSTEM
IN VANET
Guide name :Dr. R.Venkatesh M.E, Ph.D.
Presented by:
S.Shanmuga priya
B. Vijayalakshmi
V.R.Vijaya
2. Main objective:
• Tracking the location of the vehicle.
• Automatic call alert will sent to nearby hospitals.
• The damaged vehicle will start emitting a
sound(Alarm) of 120db,and all the lights present
will start flickering.
• The main cause of the accident can be identified
by a micro camera using air pressure sensors
which is fitted at both ends of the vehicle.
3. Abstract:
• In real time no proper automatic emergency
alert systems are present.
• In times of accidents a third party has to call the
ambulance services.
• In the absence of a third party the situation
becomes more critical.
• Lack of knowledge about the precise location of
the accident.
4. Techniques used:
• GPS(Global Positioning System):
It provides location and time information anywhere on
or near the earth where there is an unobstructed line of
sight to four or more GPS satellites.
• GSM(Global System for Mobile Communications):
It is a cellular network which can be connected by
searching for cells in the immediate vicinity.
• RFID(Radio Frequency Identification):
It is a technology which can be used in communication
through the use of radio waves to transfer data between a
reader and an electronic tag attached to an object for the
purpose of identification and tracking.
5. Other major techniques used:
• Airbag Circuit-The airbag is a automobile safety
device which is reliable, the entire process
happens in 20-30 milliseconds
• Vibration sensor-It passes an alert message if
the vibration does not saturate.
• MEMS sensor-It detect the signal and sends it to
the ARM controller.
• ARM controller-It provides high speed
processing of data using pipelining technique.
8. Immediate alert system:
• Checking whether the accident is major or
minor.
• Deployment of airbag along with siren(120-130
db).
• GSM modem sends an alert message to the
nearest hospital using Google maps.
• The hospital track the precise location using GPS
receiver.
10. RFID communication:
• The vehicles within the reach of 200m can be
detected by using RFID reader.
• Active RFID tags are used because they can
transmit signal upto 100m.
• The base station or the RFID readers receive the
signal and inform the vehicles travelling in that
route about the accident ahead.
12. Dijkstra’s algorithm:
• Dijkstra's algorithm finds the
shortest path from x to y in
order of increasing distance
from x. That is, it chooses the
first minimum edge, stores
this value and adds the next
minimum value from the next
edge it selects.
13. Algorithm:
• For each u G:
• d[u] = infinity;
• parent[u] = NIL;
• End for
• d[s] = 0; // s is the start point
• H = {s}; // the heap
• while NotEmpty(H) and targetNotFound:
• u = Extract_Min(H);
• label u as examined;
• for each v adjacent to u:
• if d[v] > d[u] + w[u, v]:
• d[v] = d[u] + w[u, v];
• parent[v] = u;
• DecreaseKey[v, H];
17. Result and Comparison:
• In this project the detection of the location of the
accident is precise unlike prior approaches.
• Here the accident is identified with the help of
airbag circuit ,vibration sensor , MEMS sensor.
• Here advanced RFID readers and tags with
maximum coverage is used.
18. Conclusion:
• This system can overcome the problems of lack
of automated system for accident location
detection.
• Consequently , the time for searching the
location is reduced and the interference of the
third party is not necessary.
• This project provides a feasible solution to traffic
hazards and it saves time and reduces loss of
lives.