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Driver Distraction Management Using Sensor Data Cloud

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Driver Distraction Management Using Sensor Data Cloud

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Driver Distraction Management Using Sensor Data Cloud

  1. 1. Driver  Distrac+on  Management   Using  Sensor  Data  Cloud Funded  by:   Informa0on  Society  Innova0on  Fund  (ISIF)  Asia,  2013-­‐2014       Presented  by   Dr.  Md.  Abdur  Razzaque   Associate  Professor,  Dept.  of  Computer  Science  and  Engineering  &   Group  Leader,  Green  Networking  Research  Group,  CSE,  University  of  Dhaka   Email:  razzaque@cse.univdhaka.edu   Web:  hWp://gnr.cse.univdhaka.edu      
  2. 2. Contents • Introduc)on  to  Driver  Distrac)on   • Driver  Distrac)on  Types,  Trends,  and  Effects   • What  can  be  done  to  address  it?   • Death  rates  around  the  world  due  to  road  accidents   • Bangladesh  Scenario   • Our  solu)on  methodology   • Implementa)ons  and  benefits   • Conclusion   2  
  3. 3. Introduc)on    
  4. 4. Driver  Distrac+on Distracted   driving   is   any   ac)vity   that   could   divert   a   person's   aFen)on   away   from   the   primary   task   of   driving.   All   distrac)ons   endanger   driver,   passenger,   and  vehicle  safety.     4   These  types  of  distrac)ons  include:   Ø Tex)ng   Ø Using  a  cell  phone  or  Smartphone   Ø Ea)ng  and  drinking   Ø Talking  to  passengers   Ø   Sickness,  Tiredness  and  Micro  sleep  states     Ø Grooming   Ø Reading,  including  maps   Ø Using  a  naviga)on  system   Ø Watching  a  video,  Adjus)ng  a  radio,  CD  player,  or  MP3  player    
  5. 5. Driver  Distrac+on  Types 5  
  6. 6. Driver  Distrac+on  Trend 6  
  7. 7. Source:  hFp://www.tex)nganddrivingsafety.com/tex)ng-­‐and-­‐driving-­‐stats/  ,     Accessed    on  April  12,  2014   Effects  of  Distracted  Driving 7  
  8. 8. Young  drivers  are  more  risky Source:  hFp://www.tex)nganddrivingsafety.com/tex)ng-­‐and-­‐driving-­‐stats/  ,     Accessed    on  April  12,  2014   8  
  9. 9. Young  drivers  are  more  risky Source:  hFp://www.tex)nganddrivingsafety.com/tex)ng-­‐and-­‐driving-­‐stats/  ,  Accessed    on  April  12,  2014   9  
  10. 10. Death  Tolls  (in  USA) Source:  hFp://ar)cles.la)mes.com/2010/sep/24/news/la-­‐heb-­‐distracted-­‐driving-­‐20100924   10   Ø   Approximately  0.5%  increase  per  year  
  11. 11. What  can  be  done?    
  12. 12. What  can  be  done  about  it? Source:  hFp://www.tex)nganddrivingsafety.com/tex)ng-­‐and-­‐driving-­‐stats/  ,     Accessed    on  April  12,  2014   12  
  13. 13. What  can  be  done  about  it? 13  
  14. 14. Effects  of  Driver  Health  Condi+on Source:  Na)onal  Highway  Traffic  Safety  Administra)on.  Facts  and  Sta)s)cs.  Available  from   hFp://www.distrac)on.gov/content/get-­‐the-­‐facts/facts-­‐and-­‐sta)s)cs.html.    Accessed  April  2,  2014   14  
  15. 15. Death  Rates  per  100K  Vehicles Rank   Country   Death  Rate   1   Namibia   53.4   6   Thailand   42.9   20   Malaysia   34.5   67   China   20.8   77   India   18.7   90   Bangladesh   16.4   107   United  States   13.9   109   South  Korea   13.7   175   Singapore   5.3   180   United  Kingdom   4.8   189   Japan   3.8   192   Maldives   2.4   Source:    World  Health  Organiza)on  -­‐  2011     15  
  16. 16. Bangladesh  Scenario    
  17. 17. Bangladesh  Scenario •   Poor  level  of  study  and  analysis   •   Poor  measures  to  mi)gate  road  accidents   •   3000  kilometer-­‐long  na)onal  highways     •   100  kilometers  path  is  earmarked  as  high   risk  zone  for  accidents.     •   37%  of  the  accidents  take  place  in  the   na)onal  highways  and  12%  of  the  accidents   occurred  in  the  regional  highways   •   Virtually  no  measures  have  been  taken  to   make  the  highways  safe   Source:    H.M.  Ahsan,  M.A.  Raihan  &  M.  Rahman,  ”A  study  on  car  involvement  in  road  traffic  accidents  in  Bangladesh”,     1st  Civil  Engineering  Congress,  December  22-­‐24,  2011,  Dhaka,  Bangladesh  .   17  
  18. 18. Annual  Road  Fatali+es  in  BD Source:  3.  ARI  database,  BUET   18  
  19. 19. Death  Tolls  in  BD  Road  Accidents    We  are  concerned  of  every  vic)m  who  has  lost  their  lives  in  road   accidents.  But  fatali)es  include  some  of  the  most  influen)al   persons  and  celebri)es.  Some  glimpse  of  them  are…   • On  October,  1993,  Jahanara  Kanchan,  the  wife  of  a  salient  actor   Ilias  Kanchan  had  been  killed  in  a  road  crash.     • On  March,  2007,  Manjarul  Islam  Rana,  a  na)onal  cricketer  was   killed  in  a  motor  bike  accident.     • On  August,  2011,  a  severe  road  accident  took  lives  of  Mishuk   Munier,  a  prominent  producer  and  Tareq  Masud,  one  the   greatest  director  and  film-­‐maker  along  with  other  three  people.   19  
  20. 20. Death  Tolls  in  BD  Road  Accidents… • On  October,  2012,  South  Asian  Games  gold-­‐winning  shooter   and  na)onal  shoo)ng  coach  Firoz  Hossain  was  killed  in  a   fatal  road  accident  along  with  his  family.   • On  July  11,  2011,  44  school  children  were  killed  in  road   accident  in  ChiFagong.   • On  February  15,  2014,  7  school  children  were  killed  and  50   others  were  injured  in  a  bus  accident  in  Jessore.   • Almost  every  year  minibus  accidents  take  several  lives  of  the   students  of  DU,  BUET  and  many  other  universi)es.   • The  death  toll  is  so  severe  in  Bangladesh,  the  newspaper   contains  several  reports  on  road  accidents  almost  everyday.   20  
  21. 21. 21  
  22. 22. Our  Solu)on     Driver  Distrac+on  Management   Using  Sensor  Data  Cloud
  23. 23. Objec+ves • Design  and  development  of  bio-­‐signal  monitoring   system  for  drivers   • Develop  driver’s  physical  movement  &  driving   performance  monitoring  system   • Real-­‐)me  sensing  data  collec)on  to  server  system   • Develop  cloud  compu)ng  system  for  processing   data  and  making  intelligent  decisions   • Build  user  friendly  cloud  data  access  interface     23  
  24. 24. Sensed  Data •   Driver’s  drunken  status   •   Blood  pressure   •   Body  temperature     •   Heart  rate   •   Drowsiness/Sleepy  status   •   Talking  behavior   •   Car  loca)on  and  speed   •   Engine  status  and  control     24  
  25. 25. Technologies  Used   • Sensors  and  sensing  systems   • Embedded  systems   • Wireless  communica)on  systems   • Cloud  Compu)ng  systems   • Web  services   • Mobile  Applica)ons   25  
  26. 26. System  Architecture Alcohol  sensor   Camera    sensor   Temperature  sensor   Embedded   Controller     System   26   Blood     pressure   Heart     Rate  
  27. 27. Contactless  Temperature  Sensor  Module   (TMP006) 27   • Working  principle     This   sensor   uses   a   thermopile   to   absorb   the   infrared   energy   emiFed   from   the   object   being   measured  and  uses  the  corresponding  change  in   thermopile   voltage   to   determine   the   object   temperature   • Features   1)  Sensor  Voltage:  7  uV/C     2)  Local  Temperature:  -­‐40  C  to  +125  C     3)  Supply  Current:  3.7V  ~  5.0V     4)  Temp  Resolu)on  (Max)  (bits):  14     5)  Interface:  I2C,SMBus     6)  Remote  Sensor  Accuracy  (Max)  (+/-­‐  C):  3     7)  Local  Sensor  Accuracy  (Max)  (+/-­‐  C):  1  
  28. 28. MQ-­‐3  Alcohol  level  detector  sensor • Opera)ng  voltage:  DC  3-­‐5V   • Dual  signal  output  (analog  and  TTL  o/p     • High  sensi)vity  and  good  selec)vity  for   ethanol  vapor   • Long  service  life  and  reliable  stability   • Rapid  response  and  recovery   characteris)cs     • Size:  32mm  x  22mm  x  22mm(L  *  W  *  H)   • Applica)on:   For  motor  vehicle  drivers  and  the  other   non-­‐drinking  workers  on-­‐site  inspec)on,   also  for  other  places  of  ethanol  vapor   detec)on,  alcohol  detec)on  range:  10  ~   1000ppm.   28  
  29. 29. High  Defini+on  Camera •   Captures  frames  of  images  to   scru)nize  the  driver’s  lip   movements  to  detect  if  the   driver  is  talking   •   We  analyze  driver’s  eye  blink   rate  to  detect  if  the  driver  is   drowsy  or  looking  out  of  the   road     29  
  30. 30. Blood  Pressure  and  Heart  Rate •   Blip  care  is  a  digital  blood   pressure  monitoring  device   with  great  precision   •   It  is  the  world’s  first  Wi-­‐Fi   enabled  BP  monitoring  device     •   Paired  with  a  Smartphone/ RPi  hotspot  it  can  upload  live   data  to  its  website     30  
  31. 31. Signal  Condi+oning  and  Data  Acquisi+on   System • Collects  and  formats  the  data  from  sensors   • Sends  the  data  to  Raspberry  PI   31   LCD  Out   Level  3  Shiser   Output  to   Raspberry  PI   Input  from     TEMP  and   ALCOHOL   sensors   Power   Microcontroller  
  32. 32. Raspberry  PI 32  
  33. 33. Wireless  Communica+on  Systems • 3G/  HSPA  Modem:   •   We  use  it  to  transmit  the   data  to  cloud  database   from  Raspberry  PI.   •   We  u)lize  the  faster  HSPA   technology  to  ensure   beFer  connec)vity.       33  
  34. 34. System • Lab  experiment  at  R&D  phase:   34  
  35. 35. GPS  Module • Loca)on   • Speed   • Direc)on   • Engine  Control   • SOS  Alarm   • Area  binding     35  
  36. 36. System • The  module  in  real  driving:   36  
  37. 37. Data  Storage  and  Cloud  Services    
  38. 38. Data  Storage  and  Cloud  Services • Our  Requirements  are:   • Getng  compu)ng  facili)es  for  large  amount  of   sensory  data.   • Getng  secured,  available  and  durable  data  storage  for   the  collected  data.   • Getng  automated  management  facili)es  of  the  data   storage  and  compu)ng  units.     38  
  39. 39. Data  Storage  and  Cloud  Services • We  have  employed…     Deployment  Manager   39  
  40. 40. User  Interfaces  and  Web  Services    
  41. 41. User  Interfaces  and  Web  Services •  Project  website  :  hFp://driverdistrac)on.gnrbd.net/   41   Login  Here  
  42. 42. User  Interfaces  and  Web  Services •  Project  website  :  hFp://driverdistrac)on.gnrbd.net/   42  
  43. 43. User  Interfaces  and  Web  Services Driver  status  Dashboard:     43  
  44. 44. User  Interfaces  and  Web  Services 44   •  Car  Posi)on  and  speed  
  45. 45. User  Interfaces  and  Web  Services 45   •  Body  Temperature  Graph  
  46. 46. User  Interfaces  and  Web  Services 46   •  Body  Temperature  Graph  
  47. 47. User  Interfaces  and  Web  Services 47   •  Blood  pressure  graph:  
  48. 48. User  Interfaces  and  Web  Services 48   •  Alcohol  graph:  
  49. 49. User  Interfaces  and  Web  Services 49   •  Eye  status:  
  50. 50. User  Interfaces  and  Web  Services 50   •  Speaking  or  not  speaking:  
  51. 51. User  Interfaces  and  Web  Services 51   •  Speaking  or  not  speaking:  
  52. 52. Mobile  Applica)on    
  53. 53. Screenshot  of  User  Applica+on 53  
  54. 54. Detec+ng  drunken  driver  using  Mobile  App 54  
  55. 55. 55   Detec+ng  drunken  driver  using  Mobile  App
  56. 56. Feasibility   •   Technical  Feasibility   •   Further  improvements  in  accuracy,  reliability  and   robustness  would  make  the  system  technically  feasible   •   Economic  Feasibility   •   Reasonable  CAPEX  and  OPEX  for  driver  distrac)on   management  unit   •   The  system  would  ensure  efficient  vehicle  resource   management  of  a  company  or  organiza)on,  and  thus  it   achieves  economic  benefits  for  them     •   Behavioral  Feasibility   •   Awareness  and  mo)va)on  programs  are  required  to   make  users  understand  the  effec)veness  of  the  driver   distrac)on  management  unit   56  
  57. 57. Prospec+ve  Usage  of  Our  System • Bus  companies   • Transport  pool  management  for  company   vehicles   • Personal  vehicle  monitoring   • Parental  control  on  young  drivers   • Precision  insurance  supports   • Driver  performance  database   • Security  and  threat  controls  by  Police     57  
  58. 58. Benefits  for  Drivers • In  case  of  emergency,  a  driver  can  press  the   red  buFon  beneath  the  dashboard  and  the   owner   of   the   vehicle   will   be   informed   through  SMS.     • Insurance  companies  won’t  be  able  to  deny   insurance   support   showing   false   acquisi)ons.     • The   driver   distrac)on   management   system   keeps  driving  records  of  a  driver,  which  will   help  him  to  find  a  beFer  job  in  the  future.   58  
  59. 59. Benefits  for  Drivers  (cont…) • Our   system   will   provide   drivers   current   health   condi)on.   As   a   result,   the   owners   won’t   enforce   drivers   to   drive   vehicles   whenever  the  driver  is  physically  distracted.   • The   system   will   help   drivers   avoid   unexpected   legal   problems   whenever   accidents   occur   and   the   drivers   are   not   responsible.   • Finally,  the  system  will  contribute  greatly  to   provide  safety  of  driver’s  life  and  property.   59  
  60. 60. Project  Team  Members 60   Dr.  Md.  Abdur  Razzaque   Principal  Inves)gator   Muhammad  Enamul  Hoque     Chowdhury,  Consultant   Amit  Kumar  Das   Research  Assistant   Tamal  Adhikary   Research  Assistant   Md.  Nazmus  Sakib  Miazi   Research  Assistant   Nusrat  Mehajabin   Research  Assistant   Shuvra  Chakrabarty   Programmer  
  61. 61. Media  Coverage 61  
  62. 62. Media  Coverage 62  
  63. 63. Our  Projects Completed  Projects:   • Design  and  Development  of  Precision  Agriculture   Management  Informa0on  System  in  Bangladesh   •  Funded  by:  Ministry  of  Science  and  Technology  (FY:  2012-­‐2013),   Government  of  Bangladesh   • Driver  Distrac0on  Management  Using  Sensor  Data  Cloud   •  Funded  by:  Informa)on  Society  Innova)on  Fund  Asia  (2013-­‐2014)   • A  Rule  Based  Bengali  Stemmer   •  Funded  by:  Code  Crasers  Interna)onal,  Dhaka  (2013)   Current  Project:   • Real  Time  Monitoring  of  Crop  Diseases  and  Pests  Using   Image  Sensor  Network  Technology   •  Funded  by:  Ministry  of  Science  and  Technology  (MoST),  Government   of  Bangladesh  (FY:  2013-­‐2014)   63  
  64. 64. Award  giving  ceremony  in  8th  IGF     at  Bali,  Indonesia  (Oct  2013) 64  
  65. 65. Publica+ons In  last  two  and  half  years,  GNR  group  has  a  number   of  publica)ons   • 12  interna)onal  journal  papers  (SCI/SCIE)  with  good   impact  factors   • Seven  IEEE/ACM  conference  papers   • Seven  manuscripts  are  now  under  review  in   reputed  interna)onal  journals  and  conferences.     The  detailed  ac0vi0es  of  the  group  is  available  at   hWp://gnr.cse.univdhaka.edu     65  
  66. 66. Conclusion • In  this  work,  we  have  developed  a  prototype  for  the   proposed  solu)on  architecture.  However,  there  are   addi)onal  challenges  –   • Efficient  )mescale  determina)on  of  sensory  data  collec)on   • Ensuring  accuracy,  product  reliability  and  availability   • Deployment  of  driving  performance  monitoring  sensor   devices   • Integra)ng  all  the  components  into  a  single  product  unit  that   can  be  delivered  to  the  users   • Test  deployments  of  a  good  number  of  units  in  real  fields     • Fine  tuning  the  hardware  and  sosware  performances   • We  need  more  grants/funds  to  carry  out  rest  of  the  ac)vi)es   66  

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