THE HIGH SECURITY SMART HELMET USING INTERNET OF …This smart helmet works on raspberry pi...
Transcript of THE HIGH SECURITY SMART HELMET USING INTERNET OF …This smart helmet works on raspberry pi...
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THE HIGH SECURITY SMART HELMET USING
INTERNET OF THINGS
Mr.Sethuram rao1, Vishnupriya.S.M
2, Mirnalini.Y
3 , Padmapriya.R.S
4
1( Associate Professor, ECE, Velammal Institute of Technology, India)
2,3,4(ECE, Velammal Institute of Technology, India)
ABSTRACT : The major goal of our project is accident detection, notification and prevention. This helmet makes rider
to feel comfortable as well as with high protection and security. This smart helmet works on raspberry pi 3controller which
is WIFI based, acts as a station for the networking system. Bluetooth and raspberry pi 3 was interfaced with cloud based
services. The helmet is interfaced with both vehicle and the cloud in which image can be accessed and send to the receiver.
Sensors will send command to raspberry pi 3. Thus the command will be send to the receiver. A software application has
been created such that it locates the exact position in terms of Google map. Cloud based services will send messages to
receiver contacts in which database are recorded . Most of the accidents are due to rash driving, drunk and drive, using
mobile phones while driving ,violating traffic rules and regulations. Many people lose their lives because of the late
reporting of accident (ie) they could not able to track accurate GPS location of the accident area. Sometimes we cannot
unable to inform about accident at the right time. The primary reason why many people get head injury is because of not
wearing helmet
Keywords - Bluetooth transmitter , IR sensor , Bluetooth receiver , Alcohol sensor, Raspberry pi3 controller , Temperature
sensor , GPS , GSM , WIFI , Cloud based services , Mobile sensor , Vibrate sensor , Pressure sensor , Speed limit sensor ,
Traffic light follower , 360 deg. Camcorder
1.INTRODUCTION
The Major goal of this project is accident detection , prevention and notification. This will be done by The
High Security Smart Helmet System. Most of the accidents are due to rash driving, drunk and drive, using
mobile phones while driving ,violating traffic rules and regulations. Many people lose their lives because of the
late reporting of accident (ie) they could not able to track accurate GPS location of the accident area
.Inorder to overcome these problems this project has been implemented .Sometimes we cannot unable to inform
about accident at the right time. The primary reason why many people get head injury is because of not wearing
helmet. The reason why most of riders refuse to wear helmet is that they feel discomfort and suffocation in
wearing it. For the rider to feel more easy, temperature sensor which monitors the constant temperature and
thermostat which maintains it.The helmet so far implemented also has features like GPS , GSM ,alcohol sensors
so this also has some drawback
.Even if the helmet falls accidentally, the GSM will send messages to the emergency contacts immediately, GPS
shows only latitude and longitude position but not visual representation. This helmet overcomes these
drawbacks by sending visual images of the location where the person met with the accident with the exact
location of latitude and longitude and this will be received by his/her contacts. So it gives clear outlook to save
the person . The main objective of this project is :
Safeguarding the riders from accidents
Detection will be provided if he met with an accidents
Notifications will be given to safeguard him as soon as possible
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2. PROPOSED SYSTEM
Not only GPS, GSM and alcohol sensor , and also various sensors like mobile(voice sensor) ,
speed limit sensor , vibration and pressure sensor are interfaced to raspberry pi3
Fig 1
When the accident occurs at various places, the information is gathered by the cloud using GPS and GSM of
raspberry pi controller and then cloud which will send messages to the ambulance , police , family and to the
nearby hospitals
Fig 2
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FLOW CHART :
The data is thus stored in the cloud and records are maintained. So that the government can able to view the data
base of accident areas and declare that region as the accident prone zone.
Fig 3.
If anyone of the test condition fails (ie) helmet should be worn , non alcoholic then the bike will not start
Fig 4
2.1 IR SENSORS :
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The Bluetooth transmitter will be placed in the helmet and the Bluetooth receiver
at the vehicle .The main function is only if the person wears the helmet the bike will start (ie) ignition
system will enable. It can detected by ultrasonic or infrared sensors
2.2 ALCOHOL SENSORS
Alcohol sensor placed in the mouth region of the helmet interfaced with the
raspberry pi , detects whether the rider is alcoholic or not, only when the rider is non alcoholic the bike will
start(ie) ignition system will enable , if (BAC>0.03) alcoholic level then it will disable. If anyone of the test
condition fails (ie) helmet should be worn , non alcoholic then the bike will not start.
2.3 TEMPERATURE SENSORS:
The reason why most of riders refuse to wear helmet is that they feel discomfort
and suffocation in wearing it. For the rider to feel more easy, temperature sensor which monitors the constant
temperature and thermostat which maintains it.To feel the rider more comfortable to wear the helmet
temperature sensor detects the temperature inside the helmet and thus thermostat maintains constant temperature
inside the helmet (ie) 30 degree Celsius which is neither hot nor cold.
Fig 5
2.4 GSM and CLOUDS:
If the person met with an accident with high pressure then the pressure sensor detects
the pressure level , if it exceeds certain pressure level it intimates cloud(GSM) to send messages and vibrate
sensor vibrates as soon as the person met with the accidentfamily .When the accident occurs at various places,
the information is gathered by the cloud using GPS and GSM of raspberry pi controller and then cloud which
will send messages to the ambulance , police , family and to the nearby hospitals. So that the person can reach
to the hospital as quick as possible. The data is thus stored in the cloud and records are maintained. So that the
government can able to view the data base of accident areas and declare that region as the accident prone zone.
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2.5 GPS:
GPS shows only latitude and longitude position but not visual representation. This helmet
overcomes these drawbacks by sending visual images of the location where the person met with the accident
with the exact location of latitude and longitude and this will be received by his/her contacts. So it gives clear
outlook to save the person . GPS tracks the exact location where the accident had occurred. GPS will send data
to cloud based services where the image will be captured using 360 degree camcorder and accessed by security
code algorithm in which only the emergency contacts can receive the data. A software has been created in which
GPS navigation will point and show in the Google map the image will show the exact position of the rider
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2.6 SPEED LIMIT SENSOR:
Speed limit sensor placed in the vehicle detects the speed at which the rider
travels. If he exceeds beyond 120km/hr then the bike automatically stops and he cannot move further. Speed
lock controller which limits the speed . To prevent the person from rash driving speed limit sensor is used.
2.7 MOBILE SENSOR :
To prevent the rider from using mobile phones while driving, voice or mobile
sensors are used. Mobile or voice sensor placed in the mouth region of the helmet detects whether the person
speaks through mobile phone while driving. If he does then the bike stops immediately.
2.8 TRAFFIC LIGHT FOLLOWER:
Traffic light follower placed in the front part of the vehicle acts according to the
traffic signal. There will be a wireless communication between transmitter(signal) and receiver(vehicle) if the
red signal appears the traffic light follower placed in the vehicle receives the signal and makes ignition systemto
turn off. If green signal appears the ignition system will enable.To make the person to follow the traffic signals
the traffic light follower is placed in the vehicle
Fig 6
OUTPUT :
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Fig 11
If this has been implemented in the real time then it will prevent the person from the accidents and encourages
him to ride in the safety way.
It makes the person to ride in a way that even he met with an accident he can save his life as well.
GPS send data to cloud based services where image can be accessed and send to the receiver contact.
To prevent the person from accident due to drunk and drive alcohol sensor is placed. To prevent the rider from
using mobile phones while driving, voice or mobile sensors are used.
To prevent the person from rash driving speed limit sensor is used.
To give notification of the accident and area , GPS and GSM is used thus cloud acts as server and raspberry pi
acts as a client.
To make the person to follow the traffic signals the traffic light follower is placed in the vehicle.
To make the rider to wear the helmet and make them feel comfortable temperature sensor is used and the
thermostat maintains it.
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STATISTICAL DATA :
This table represents the statistical data of accident severity from 2002 to 2011
Total no. of accidents occurring every year (i.e)., Road traffic accidents
Two wheeler 23.2 %
Truck/ Lorry 19.2 %
Others 10.3%
Car 10.1%
Bus 9.4 %
Pedestrian 8.3%
Jeep 6.7%
Tempo / Vans 5.7%
Three wheelers 4.8%
Bicycle 2.2%
1 From the above table , we come to know that majority of the accidents occurs only in two wheelers
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Causes of accidents Detection/ Prevention Uses
Head injury due to not
wearing helmet
Drunk and drive
Rash driving
Using mobiles while driving
Violating traffic signals
Late reporting of accidents
Inaccurate location
Ultrasonic / IR sensor
Alcohol sensor
Speed limit sensor
Mobile sensor
Traffic light follower
GSM and Cloud
GPS
It detects whether the person wears
the helmet or not
It detects whether the rider is
drunken or not
It senses the speed upto certain
level
It senses whether the rider uses
mobile phones while driving
It acts according to the traffic
signals
It sends messages immediately to
the emergency contacts
It tracks exact location where
accident occurred
CONCLUSION
To give notification of the accident and area , GPS and GSM is used thus cloud acts as server and
raspberry pi acts as a client.If this has been implemented in the real time then it will prevent the person
from the accidents and encourages him to ride in the safety way.It makes the person to ride in a way that
even he met with an accident he can save his life as well.GPS send data to cloud based services where
image can be accessed and send to the receiver contact.
By implementing these type of helmet in future , more than 3/4th
of the accidents can be avoided. This
helmet ensures the safety of the rider and helps in preventing the accidents. Though this helmet has lots of
restrictions it should be known as these restrictions are the only way to prevent accidents to be occurring
REFERENCES
1.Athuljith , Biren Patel , Sourabh Pardeshi (2017) “Intelligent System for helmet detection using raspberry
pi” IJSART – Volume 3, Issue 6
2. Mrs. Mikhal john (2018)“Comparative study on various system based on raspberry technology” IRJET
–Volume:5 , Issue:1
3. Pragna pande , Pavitra(2014) “Smart helmet- Intelligent safety for motor cyclist “
IJEEC : ISSN 2048-1069
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4. Shabrin , Bhagyashree , Nikharge , Maithri(2016) “Smart helmet – Intelligent safety for motorcyclist using
raspberry pi and open cv” IRJET- Volume:3 , Issue:3
5. R.G.Sushma , J.P.Himanshu (2017) “ Smart helmet for alcohol detection , accident detection and
notification using IOT “ Asian Journal of Applied Science and Technology
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6. Mohamad Nizam Mustafa , "OVERVIEW OF CURRENT ROAD SAFETY SITUATION IN
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and future directions" in Future Generation Computer Systems, vol. 29, no. 7, pp. 1645-1660, 2013.
8.Vamsikrishna Patchava, Sonti Dinesh Kumar, Shaik Riyaz Hussain, K. Rama Naidu, "Raspberry PI controlled
SMS-Update-Notification (Sun) system", Proceeding of IEEE International Conference on Electrical Computer
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