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Real-time Traffic Signs Recognition

In Cars
- Tien Trieu Minh -
Asilla Hackathon 2016 Summer
Motivation of Idea (1)
! When driving a car, I usually do not notice traffic signs.
! Talking with other people
! Concentrating on the insane traffic of Hanoi.
! This makes my driving
! Unsafe
! Costly by an extra pay for traffic police >”<
! Even sometimes I do not remember the meaning of some traffic signs. ☹
Motivation of Idea (2)
! Need someone to sit side by side and notice me about traffic signs on road.
! But hiring a beautiful secretary is also costly, so I want my car be smarter to help me
out.
Idea
! A real-time traffic signs
recognition system.
! Detect traffic signs on road
! Notice driver about the
detected traffic signs
! By a cute voice
! By text on screen
Feasibility
! There are a lot of car which installed a dash-cam.
! The high generation dash-cam has a high spec and runs on Android OS.
! Can use smartphone as an alternative dash-cam.
! There is no (or rare) dash-cam having a traffic sign recognition function.
! People (like me) are willing to pay money for the safe driving.
(Need to do a survey)
Vietnam Traffic Signs (3 important groups)
Their border
color is RED or
BLUE
How to make
! Step 1: Find all red and blue parts in the image (now using SVM)
! Step 2: Group them into red and blue regions as following algorithm:
! Step 3: Find traffic signs in each color region (now using Haar-like cascade classifier)
Time for Demo
! Libraries: OpenCV, LightSVM
! Language: C and C++
! This demo: find only [Red] regions and detect only the [One way] traffic sign.
Future works
! Recognise traffic signs in the real-time video
! Train recognition model for other traffic signs
! Collect and Create the training dataset
! Try with other methods (Deep Learning etc,.)
! Additional function:
! Calculating the distance between the car and the traffic sign
! Allow user to choose which traffic signs he/she want to be alerted
! Build the first Android version
Thank you ☺

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Traffic signrecognition

  • 1. Real-time Traffic Signs Recognition
 In Cars - Tien Trieu Minh - Asilla Hackathon 2016 Summer
  • 2. Motivation of Idea (1) ! When driving a car, I usually do not notice traffic signs. ! Talking with other people ! Concentrating on the insane traffic of Hanoi. ! This makes my driving ! Unsafe ! Costly by an extra pay for traffic police >”< ! Even sometimes I do not remember the meaning of some traffic signs. ☹
  • 3. Motivation of Idea (2) ! Need someone to sit side by side and notice me about traffic signs on road. ! But hiring a beautiful secretary is also costly, so I want my car be smarter to help me out.
  • 4. Idea ! A real-time traffic signs recognition system. ! Detect traffic signs on road ! Notice driver about the detected traffic signs ! By a cute voice ! By text on screen
  • 5. Feasibility ! There are a lot of car which installed a dash-cam. ! The high generation dash-cam has a high spec and runs on Android OS. ! Can use smartphone as an alternative dash-cam. ! There is no (or rare) dash-cam having a traffic sign recognition function. ! People (like me) are willing to pay money for the safe driving. (Need to do a survey)
  • 6. Vietnam Traffic Signs (3 important groups) Their border color is RED or BLUE
  • 7. How to make ! Step 1: Find all red and blue parts in the image (now using SVM) ! Step 2: Group them into red and blue regions as following algorithm: ! Step 3: Find traffic signs in each color region (now using Haar-like cascade classifier)
  • 8. Time for Demo ! Libraries: OpenCV, LightSVM ! Language: C and C++ ! This demo: find only [Red] regions and detect only the [One way] traffic sign.
  • 9. Future works ! Recognise traffic signs in the real-time video ! Train recognition model for other traffic signs ! Collect and Create the training dataset ! Try with other methods (Deep Learning etc,.) ! Additional function: ! Calculating the distance between the car and the traffic sign ! Allow user to choose which traffic signs he/she want to be alerted ! Build the first Android version