Presented By: O. Govinda Rao 3 rd MCA AITAM CH. Hari Prasad 3 rd MCA AITAM.

Slides:



Advertisements
Similar presentations
Artificial passenger.
Advertisements

ARTIFICIAL PASSENGER.
V.T.A V.T.A Road Accidents Are Avoidable Over recent years we have witnessed a growing number of unnecessary road accidents often caused by human error,
Mobile Phones Presented by:. Mobile Phones Introduction How many mobile phones are in use What are their effects on driving? How does this change the.
Making the most of Satellite Navigation and Tracking Integration with your Business System.
IOT POLY ENGINEERING Information is an essential resource for design (1 of the 7 inputs). 2.Communication technology significantly impacts the way.
Page 1 SIXTH SENSE TECHNOLOGY Presented by: KIRTI AGGARWAL 2K7-MRCE-CS-035.
ACCESSIBLE TECHNOLOGIES FOR SPEECH MANAGEMENT “Making media accessible to all” ITU workshop – Geneva October 2013.
The design was done collaboratively within the Winter Mini-Project course taught by Prof. Dov Dori In response to the call for contest at INCOSE_IL.
Perception and Communications for Vulnerable Road Users safety Pierre Merdrignac Supervisors: Fawzi Nashashibi, Evangeline Pollard, Oyunchimeg Shagdar.
overview Motivation Ongoing research on VANETs Introduction Objectives Applications Possible attacks Conclusion.
Input Devices Image Capture Devices, Sound Capture Devices, Remote Controls PREPARED & PRESENTED BY: FAHAD AHMAD KHAN.
Distracted driving isn’t worth the consequences..
European Intelligent Transportation Systems Market B Published Feb
Cell Phone Use While Driving Why it is a crash risk.
(CONTROLLER-FREE GAMING
ASSISTIVE TECHNOLOGY PRESENTED BY ABDUL BARI KP. CONTENTS WHAT IS ASSISTIVE TECHNOLOGY? OUT PUT: Screen magnifier Speech to Recogonizing system Text to.
OverView on Interaction Metaphore Murtaza Hussain.
Texting while driving, To do or NOT to do? By: Jennifer M. Richards.
Prepared by: Badiuzaman Bin Baharu Supervisor: Dr. Nasreen Bt. Badruddin.
Safety All The Time Oyuki Ogawa Executive Vice President DENSO CORPORATION.
Intro to Digital Technology HARDWARE CONCEPTS. IT-IDT-4 Identify, describe, evaluate, select, and use appropriate technology. IT-IDT-5 Understand, communicate,
Input Devices.  Identify audio and video input devices  List the function of the respective devices.
Presentation by: K.G.P.Srikanth. CONTENTS  Introduction  Components  Working  Applications.
The PhysioWheel Matt DeGraw, Bobby Zarubin, Drew Jackson, Jonny Locher Drew Jackson, Jonny Locher.
Submitted by:- Vinay kr. Gupta Computer Sci. & Engg. 4 th year.
CPT 123 Internet Skills Class Notes Audio/Video Communication Session.
By: Diana Ornelas.  A LAN that is inside & around the vehicle  Is a branch under VANET  4 types of communication:  Vehicle-to-vehicle  Intra-vehicular.
Input By Hollee Smalley. What is Input? Input is any data or instructions entered into the memory of a computer.
1 Lecture 1: Introduction to Artificial Intelligence.
© Siemens AG, 2002 s CP RS Agenda The Role of IT for Accident-free Driving Interaction with driver’s physical condition Interaction with the roadside environment.
Asleep at the Wheel: The Prevalence and Impact of Drowsy Driving.
MULTIMEDIA INPUT / OUTPUT TECHNOLOGIES INTRODUCTION 6/1/ A.Aruna, Assistant Professor, Faculty of Information Technology.
Driver’s Sleepiness Detection System Idit Gershoni Introduction to Computational and Biological Vision Fall 2007.
CAUSE FOR CONCERN 60% of American adult drivers have driven a vehicle while feeling drowsy, more than 33% have actually fallen asleep. -National Sleep.
+ New Media Production CA ~ Siri By Eva Lucey. + Introduction to Siri Apple’s latest iPhone feature – New Application First seen in October 2011 – iPhone.
Driving Distractions For Youthful Drivers. Distractions  Cell phones  Passengers  Driving Drowsy.
PRESENTED BY TARUN CHUGH ROLL NO: DATE OF PRESENTATION :-29/09/2010 ARTIFICIAL PASSENGER.
ARM BASED SMART HELMET USING XBee WITH ALCOHOL DETECTION
AN INTELLIGENT ASSISTANT FOR NAVIGATION OF VISUALLY IMPAIRED PEOPLE N.G. Bourbakis*# and D. Kavraki # #AIIS Inc., Vestal, NY, *WSU,
 Introduction  What is Driverless Car ?  History  Component  Action  Technology  Advantages  Disadvantages  Conclusion  Reference.
Presented by : P L N GANESH CH DURGA PRASAD M RAVI TEJA 08551A A A0446.
Under The Guidance of Smt. D.Neelima M.Tech., Submitted by
IOT POLY ENGINEERING 2-1 Now, work with a partner to add at least 3 more communication technologies to each column. October 28, Recreate the following.
Name Of The College & Dept
Seminar On BLACK BOX Submitted To: Submitted By:
It is Your mobile is now much more than just a communication device - more like a remote control for your life. You still call it a "mobile" from.
ARTIFICIAL PASSENGER (A Sleep Prevention Dialogue Based Car System) Prepared By Jesalpura Riddhi 09-IT-14 Guided By Mansi Parmar.
Cell Phones and Driving
IN CONTROL: BEYOND DISTRACTION WHAT YOU NEED TO KNOW ABOUT DISTRACTED DRIVING AND TEENS.
introduction Brain driven car which would be of great help to the physically disabled people. These cars will rely only on what the individual is thinking.
ARTIFICIAL INTELLIGENCE IN MECHANICAL ENGINEERING: A CASE STUDY ON AUTONOMOUS CARS BY AMAL JOSE Btech Mechanical.
1 SAFETY AND SECURITY FEATURES ANALYSIS OF OF VEHICLES.
Emerging Risks & Technologies
ADVANCED DRIVER ASSISTANCE SYSTEMS
Intelligent IVI with AI
Design and Implementation of versatile ebot using raspberry pi
Data Logging & Control Systems
Submitted By:- JITHESH PT CUAHMCA009
Artificial Intelligence for Speech Recognition
Communication Technology
Communication Technology
Driving in the Interior
ULTIMATE IN CAR SAFETY & SECURITY DASH CAMERA
Communication Technology by E Dalton on Prezi
TUGS Jason Higuchi && Julia Yefimenko && Raudel mayorga
Introduction Brain driven car which would be of great help to the physically disabled people. These cars will rely only on what the individual is thinking.
I.T.: Application By Bhupendra Ratha, Lecturer
Presentation transcript:

Presented By: O. Govinda Rao 3 rd MCA AITAM CH. Hari Prasad 3 rd MCA AITAM

Contents  Introduction  Why Such System ? ?  Working Components  Applications  Future Applications  Conclusion  Reference  Queries

Introduction  IBM (International business machines corporation, NY) has developed a software that holds the conversation with driver to determine whether the driver can respond alertly enough, called “Artificial Passenger”.  The name was firstly suggested in an article in new scientist magazine.  This was designed to make solo journey safer and more bearable.

What is an Artificial Passenger?  Natural language e-companion.  Sleep preventive device in cars to overcome drowsiness.  Life safety system.

Why Such System??  According to a national survey in UK and USA, it is observed that the driver fatigue annually causes, crashes 1500 deaths 7100 injuries, which causes annual cost of $12.5 billions.  Majority of off-road accidents observed were preceded by eye closure of half and even 2-3 seconds where the normal human eye blinks at seconds.

What Does It Do?  Detects alarm conditions through sensors.  Broadcasts pre-stored voice messages over the speakers.  Captures images of the driver.

Showing the dashboard of the car where the whole artificial system is generally attached

Working Components There are some of the components which supports for the working of the system:  Automatic speech recognizer (ASR)  Natural language processor  Driver analyzer  Conversational planner (CP)  Alarm  Microphone  Camera

Working Components( contd.) Automatic speech recognition:- There are two ASRs used in the system:  First one is “speaker independent” and used for decoding voice signals of the driver.  Second one operates with voice car media and decodes tapes, audio book, telephone mails etc. Natural language processor:-  Processes the decoded signals of textual data provided from the ASR.  Identifies related meanings from the contents of the decoded messages.

Working Components (contd.) Driver analyzer:-  Receives the textual data and voice data.  Measures the time response using a clock.  Analysis is both subjective and objective. Conversational planner:-  It is the heart of the system.  Instructs the language generator to produce the response.

Working Components (contd.) Alarm:- If the CP (conversational planner) receives information that the driver is about to fall asleep an alarm system is activated. Microphone:- For picking up the words and separate them by some internally used software for conversation.

Working Components (contd.) Camera:-  This will track the lip movements of the driver.  Used for the improvement for the accuracy of the speech recognition.

Application  Prevents the driver, falling asleep during long and solo trip.  In any problem it alerts the vehicles near by this, so the driver there become alert.  Opens and closes the doors and windows of the car automatically.  It is also used for the entertainment.

Future Application Will provide us with a shortest-time routing based on road conditions changing because of weather and traffic, information of about the cars on the route, destination requirement (as flight has been delayed).

Conclusion Successful implementation of artificial passenger would allow use of various services in car like reading s, navigation, downloading music files, voice games without compromising a driver safety. References:

Thank you

?