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Vehicle Accidents Alarming System
Using Image Processing
A .A. V. D. Amarathunga (102005)
Supervisor : K.P. Vidanapathirana
Department of Electronics
Faculty of Applied Sciences
ASRITE 2015 30.04.2015
Contents
Introduction
Technologies used
Design of the system
Demonstration
Future developments
References
ASRITE 2015 30.04.2015
Introduction
Vehicle Accidents:
Traffic collision Motor Vehicle Collision (MVC),
traffic accident, motor vehicle
accident, car accident, automobile
accident, road traffic collision, road
traffic accident, wreck, car crash,
or car smash occurs when a vehicle
collides with another vehicle.
ASRITE 2015 30.04.2015
Cause of Fatal Accidents:
Source : SIEMENS StudyASRITE 2015 30.04.2015
Preventing accidents:
 Driver assisting systems(Outdoor solution)
 Rules and regulations
 Self disciplines of drivers
ASRITE 2015 30.04.2015
Driver Assisting Systems (DAS)
DAS Developed to automate/adapt/enhance vehicle systems for
safety and better driving
Safety features are designed to avoid collisions and accidents by
offering technologies that alert the driver to potential problems, or to
avoid collisions by implementing
safeguards and taking over control
of the vehicle
ASRITE 2015 30.04.2015
Existing Driver Assisting Systems:
 Automate lighting
 Adaptive cruise control
 Automate braking
 Incorporate GPS/ Traffic warnings
 Connect to smart phones
 Keep the driver in the correct lane
 Warning on sleepiness
ASRITE 2015 30.04.2015
Technology used in the proposed system
Image Processing:
 Form of Signal Processing
 Input is Photograph or a Video
30.04.2015ASRITE 2015
pcDuino:
 Mini PC platform
 Runs with Ubuntu or Android OS
 Compatible with Arduino interface
 Cost effective
ASRITE 2015 30.04.2015
pcDuino Contd…
ASRITE 2015 30.04.2015
Python programming language:
 General purpose
 High level language
 Easily understandable
 In built libraries for image processing
 Widely used
ASRITE 2015 30.04.2015
Open CV library:
 Open source
 It has C++, C, Python and Java interfaces
 Supports Windows, Linux, Mac OS,
iOS and Android
 In built libraries for image processing
 Widely used
ASRITE 2015 30.04.2015
Design of the system
Vehicle Accidents Alarming System
 Drivers drowsiness will be detected from eye
blinking rate
 Uses Image Processing
 Detects rate of eye blinking
 Uses a night-vision camera
 Can easily mount
 Powered by cigarettes lighter
ASRITE 2015 30.04.2015
Block Diagram of Vehicle Accidents Alarming System
Demonstration
ASRITE 2015 30.04.2015
Demonstration Contd
ASRITE 2015 30.04.2015
Demonstration Contd
ASRITE 2015 30.04.2015
Future Developments
 Drivers eye blink rate can be identified using artificial
intelligence (AI)
 Warning signal can be developed to vibrate the seat
of the driver or vibrate the steering wheel
ASRITE 2015 30.04.2015
References
 http://www.volvocars.com/us/about/our-innovations/intellisafe
 http://www.pcduino.com/
 www.siemens.com/dads/study
 https://www.python.org/
 Hannes Rost, David Ross, Lawerence D’ Oliverrio , Python
Programming Language, Dev Shed’s Publications, 2012
ASRITE 2015 30.04.2015
Questions & Answers
ASRITE 2015 30.04.2015
Thank You
ASRITE 2015 30.04.2015

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VAAS V4

Editor's Notes

  1. Video will be plyed to demonstrate.
  2. Video will be plyed to demonstrate.
  3. Video will be plyed to demonstrate.