PPT

1. P.A.COLLEGE OF ENGINEERING AND TECHNOLOGY
(An Autonomous Institution)
Accredited by NBA and NAAC with ‘A’ grade
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING
SMART VECHILE SYSTEM FOR
URBAN COMMUTERS
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Presented by, Guided by,
R.Govarthana Parasuram (721716106014) N.Arun Kumar ,M.TECH
M.Karthikeyan (721716106019) Assistant Professor /ECE
M.Libni Austin Jones(721716106029)

2. OBJECTIVE
• To Enhance the smart vehicle systems for usage of urban
commuters.
• To enhance the security in vehicles
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3. ABSTRACT
• A modern vehicle utilizes remote keyless system.Where
there is no usage of key fob, then the vehicle is secured
by RF tag ignition where the software key gesture is
given to the RF tag.
• To restrict the vehicle movement within a particular area,
GPS fencing is used in which fence radius can be
programmed in the touch screen display.
• In case of auto theft, fuel supply will be made to cut off
slowly by sending the message thereby disabling the vehicle.
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4. INTRODUCTION
• Our project is based on IOT.
• It provides a easier way to giving vehicles for rent for
commuters.
• In this project we use such a component like
microcontroller(arduino Uno R3), RF Tag, Wifi module,
proximity sensor, led display etc
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5. EXISTING METHODALOGY
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6. DRAWBACKS OF EXISTING
METHODOLOGY
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7. PROPOSED METHODOLOGY
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MICROCONTROLLER
(ARDUINO UNO R3)
LED
WIFI
MODULE
DRIVER
UNIT
IGNITION
PROXIMITY
SENSOR
RF ID
RF TAG
POWER SUPPLY

8. OUTPUT (specify)
• Screenshot of work done thus far.
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9. HARDWARE/ SOFTWARE
USED
• HARDWARE REQUIREMENTS:
• ARDUINO UNO MICROCONTROLLER
• SENSORS: PROXIMITY SENSOR
• RFID READER
• RFID TAG
• IOT KIT
• LCD
• RELAY DRIVER MODULE
• POWER SUPPLY
• SOFTWARE REQUIREMENTS:
• ARDUINO IDE
• HTML
• PHP
• MYSQL
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10. WORK TO BE COMPLETED
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End of January
End of February
During Final Presentation

11. REFERENCES
• Jacques Georgy, Member, IEEE, AboelmagdNoureldin, Senior
Member, IEEE, and Chris Goodall “ Vehicle Navigator using a
Mixture Particle Filter for Inertial Sensors/Odometer/Map Data/GPS
Integration “IEEE Transactions on Consumer Electronics, Vol. 58,No.
2, May 2017.
• RuizeXu, Shengli Zhou, and Wen J.L.MEMS Accelerometer
Based Nonspecific-User Hand Gesture Recognition”ieee sensors
journal, vol. 12, no. 5, may 2012.
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12. THANK YOU
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