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CLOUD BASED BLACK BOX
FOR MONITORING
PARAMETERS IN
AUTOMOBILES
KEERTHANA R.O. 111514105039
HANUSHA.G 111514105027
M.NAVEENA 111514105058
ABINAYA.M 111514105002
GUIDE: Mr. D. RAJASEKARAN
Associate Professor
R.M.DENGINEERINGCOLLEGE
 To collect real time vehicle data before and after crash and
store them.
 To determine the possible cause of crash using various
automobile parameters.
 To control the speed of the vehicle.
 To facilitate transfer of vehicle data to insurance agent.
R.M.D ENGINEERING COLLEGE
YEAR AUTHOR TITLE REMARKS
2011 Chulhwa Hong,
Truong Le, Kangsuk
Chae and Souhwan
Jung
Evidence Collection
from Car Black Boxes
using Smartphone’s
A process to collect critical video
clips in the black box are hashed
to provide data integrity before
being transmitted to police server.
2015 Dr.J.I.Mazher Iqbal
and S.Heena Kousar
Automatic vehicle
Accident Detection
and Reporting with
black box
It gathers the position information
and send the message to specific
server and black box. The Black
box records the voice at that
instant.
2016 Soumya S, Malini
chavali, Shuchi Gupta
and Niharika Rao
Internet of things
based Home
automation system
They used LDR for light intensity
and Ultrasonic sensor for distance
range condition and also human
remotely controlled the light of
their houses.
2016 Rahul B and
P.P.Tasgaokar
An IOT framework
for intelligent vehicle
monitoring system
It provide the facility of
monitoring the environment
parameters continuously using
different parameters.
R.M.D ENGINEERING COLLEGE
EXISTING PROPOSED
 Only 20 seconds of information
is stored at the time of crash.
 IOT allows storage of more data
before and after the crash.
 Not possible to save large data
using bluetooth devices.
 IOT can be used to save and
retrieve loads of data.
 Separate complex circuits are
used.
 Simple sensor circuits are used.
 Range of data transfer is less.  Data can be transferred through
a wide range.
 General speed control devices
are used.
 Speed control based on nearby
vehicles.
R.M.D ENGINEERING COLLEGE
R.M.D ENGINEERING COLLEGE
R.M.D ENGINEERING COLLEGE
 Arduino UNO
 Vibration Sensor
 Rotary Potentiometer
 Accelerometer- ADXL 335
 Count Sensor
 DC Motor
 PC
 Wi-Fi Microchip (ESP8266)
SOFTWARE DETAILS:
 Embedded C
R.M.D ENGINEERING COLLEGE
R.M.D ENGINEERING COLLEGE
R.M.D ENGINEERING COLLEGE
R.M.D ENGINEERING COLLEGE
R.M.D ENGINEERING COLLEGE
 IOT is an emerging technology which reduces the error in detecting
the cause of the crash easily.
 Less Complex
 More economical since number of circuits used is less.
 More information helpful for crash analysis can be stored.
R.M.D ENGINEERING COLLEGE
 This information can be transferred to police stations to help aid in
their investigations.
 Controlling of automotive parameters can be done by using sensor
values to help prevent accidents.
 User or driver information can be shared using RFID tags to help in
identifying the victims easily.
 Can use AI based interactive tools to help the passengers of nearby
vehicles to locate nearby hospitals, ambulances etc.
R.M.D ENGINEERING COLLEGE
 Ankita A. Mahamune, Dr. Salim Y. Amdani and Vaibhav R. Pandit (2017),
‘Internet of Things Based Connected Vehicles in Smart Cities: Review and
Research Challenges’, International Journal of Engineering Research in
Computer Science and Engineering (IJERCSE), ISSN (Online) 2394-2320,
Volume 4, Issue 4, April 2017.
 Tej Tharang Dandala, Vallidevi Krishnamurth and Rajan Alwan (2017),
‘Internet of Vehicles (IOV) for Traffic Management’, IEEE International
Conference on Computer, Communication and Signal Processing (lCCCSP-
2017).
 B.THULASI and A.M.GUNA SEKHAR (2016), ‘Wireless Black Box Using MEMS
Accelerometer and GPS Tracking for Unintended Monitoring of Vehicles’,
International Journal of Innovative Technologies(IJITech), ISSN 2321-8665
Vol.04,Issue.10, August-2016, Pages:1714-1716.
R.M.D ENGINEERING COLLEGE
 Ashwini B. Patil, Dr.Suresh D. Shirbahadurkar and Vaishali V. Thorat (2016),
‘Study and Literature Survey for Evidence Collection System for Car’,
International Journal of Advanced Research in Computer and Communication
Engineering (IJARCCE), ISSN (Online) 2278-1021, Vol. 5, Issue 4, April 2016.
 K.P. Sreevishakh and S.P. Dhanure (2015), ‘A Review Paper on Automotive
Crash Prediction and Notification Technologies’, Institute of Electrical and
Electronics Engineers (IEEE), Electronic ISBN: 978-1-4799-6892-3, 16 July
2015.
 Ramchandra Patil, Shivaraj Hublikar (2014), ‘Design and Implementation of
Car Black Box with Collision Avoidance System using ARM’, International
Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN:
2278-3075, Volume-4, Issue-3, August 2014.
R.M.D ENGINEERING COLLEGE
R.M.D ENGINEERING COLLEGE

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Cloud-Based Black Box for Monitoring Auto Parameters

  • 1. CLOUD BASED BLACK BOX FOR MONITORING PARAMETERS IN AUTOMOBILES KEERTHANA R.O. 111514105039 HANUSHA.G 111514105027 M.NAVEENA 111514105058 ABINAYA.M 111514105002 GUIDE: Mr. D. RAJASEKARAN Associate Professor R.M.DENGINEERINGCOLLEGE
  • 2.  To collect real time vehicle data before and after crash and store them.  To determine the possible cause of crash using various automobile parameters.  To control the speed of the vehicle.  To facilitate transfer of vehicle data to insurance agent. R.M.D ENGINEERING COLLEGE
  • 3. YEAR AUTHOR TITLE REMARKS 2011 Chulhwa Hong, Truong Le, Kangsuk Chae and Souhwan Jung Evidence Collection from Car Black Boxes using Smartphone’s A process to collect critical video clips in the black box are hashed to provide data integrity before being transmitted to police server. 2015 Dr.J.I.Mazher Iqbal and S.Heena Kousar Automatic vehicle Accident Detection and Reporting with black box It gathers the position information and send the message to specific server and black box. The Black box records the voice at that instant. 2016 Soumya S, Malini chavali, Shuchi Gupta and Niharika Rao Internet of things based Home automation system They used LDR for light intensity and Ultrasonic sensor for distance range condition and also human remotely controlled the light of their houses. 2016 Rahul B and P.P.Tasgaokar An IOT framework for intelligent vehicle monitoring system It provide the facility of monitoring the environment parameters continuously using different parameters. R.M.D ENGINEERING COLLEGE
  • 4. EXISTING PROPOSED  Only 20 seconds of information is stored at the time of crash.  IOT allows storage of more data before and after the crash.  Not possible to save large data using bluetooth devices.  IOT can be used to save and retrieve loads of data.  Separate complex circuits are used.  Simple sensor circuits are used.  Range of data transfer is less.  Data can be transferred through a wide range.  General speed control devices are used.  Speed control based on nearby vehicles. R.M.D ENGINEERING COLLEGE
  • 7.  Arduino UNO  Vibration Sensor  Rotary Potentiometer  Accelerometer- ADXL 335  Count Sensor  DC Motor  PC  Wi-Fi Microchip (ESP8266) SOFTWARE DETAILS:  Embedded C R.M.D ENGINEERING COLLEGE
  • 12.  IOT is an emerging technology which reduces the error in detecting the cause of the crash easily.  Less Complex  More economical since number of circuits used is less.  More information helpful for crash analysis can be stored. R.M.D ENGINEERING COLLEGE
  • 13.  This information can be transferred to police stations to help aid in their investigations.  Controlling of automotive parameters can be done by using sensor values to help prevent accidents.  User or driver information can be shared using RFID tags to help in identifying the victims easily.  Can use AI based interactive tools to help the passengers of nearby vehicles to locate nearby hospitals, ambulances etc. R.M.D ENGINEERING COLLEGE
  • 14.  Ankita A. Mahamune, Dr. Salim Y. Amdani and Vaibhav R. Pandit (2017), ‘Internet of Things Based Connected Vehicles in Smart Cities: Review and Research Challenges’, International Journal of Engineering Research in Computer Science and Engineering (IJERCSE), ISSN (Online) 2394-2320, Volume 4, Issue 4, April 2017.  Tej Tharang Dandala, Vallidevi Krishnamurth and Rajan Alwan (2017), ‘Internet of Vehicles (IOV) for Traffic Management’, IEEE International Conference on Computer, Communication and Signal Processing (lCCCSP- 2017).  B.THULASI and A.M.GUNA SEKHAR (2016), ‘Wireless Black Box Using MEMS Accelerometer and GPS Tracking for Unintended Monitoring of Vehicles’, International Journal of Innovative Technologies(IJITech), ISSN 2321-8665 Vol.04,Issue.10, August-2016, Pages:1714-1716. R.M.D ENGINEERING COLLEGE
  • 15.  Ashwini B. Patil, Dr.Suresh D. Shirbahadurkar and Vaishali V. Thorat (2016), ‘Study and Literature Survey for Evidence Collection System for Car’, International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), ISSN (Online) 2278-1021, Vol. 5, Issue 4, April 2016.  K.P. Sreevishakh and S.P. Dhanure (2015), ‘A Review Paper on Automotive Crash Prediction and Notification Technologies’, Institute of Electrical and Electronics Engineers (IEEE), Electronic ISBN: 978-1-4799-6892-3, 16 July 2015.  Ramchandra Patil, Shivaraj Hublikar (2014), ‘Design and Implementation of Car Black Box with Collision Avoidance System using ARM’, International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-4, Issue-3, August 2014. R.M.D ENGINEERING COLLEGE