14.road sign recognition system amine-jaidi

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The document discusses the development of a road sign recognition system (RRS). It aims to help drivers by detecting and classifying road signs to improve safety. The initial system uses computer vision algorithms to detect signs within 10 seconds. Further work includes optimizing performance, implementing on video, and developing an iPhone application to create a portable device. Challenges include limited iPhone battery and processing power, but the overall goal is to reduce accidents by assisting drivers in recognizing signs.

Technology Business Art & Photos

Road Sign Recogni,on System 

Amine Jaidi

Drivers Lose Their Focus 
Young Drivers  Elderly Drivers

Consequences 
Being Pulled over  The obvious one 

Why does this happen?

What are road signs ? 

    road signs are signs erected at the side of roads 
to provide informa,on to road users. With 
increasing speed of transport, the tendency is for 
countries to adopt pictorial signs or otherwise 
simplify and standardize signs, to facilitate 
interna,onal travel where language diﬀerences 
can create barriers and in general to reduce the 
risks in driving  (Wikipedia)

The purpose of having a RRS in your car 
•  Safer driving 
•  Building autonomous cars  
•  Teaching people good driving habits 

      
      Provide driving assistance

Results 
    The implemented algorithm is quite fast, the 
average ,me for detec,on and classiﬁcia,on 
of signs is about 10 seconds on a 1 Ghz 
Turion64 processor with 1Gb of RAM running 
Fedora Linux 10.  

       STILL NEEDS TO BE OPTIMISED

Work in Progress 
•  Building the Autoassocia,ve Memory (neural 
network ) 
•  Tes,ng the algorithm on video 
•  Implemen,ng the applica,on on an iPhone

Why the iPhone? 

•  Available on the market 
•  Supports OpenCV 
•  Portable device 
•  Has a camera 
•  Touch screen

Some disadvantages... 
•  Poor baLery life 
Video playback is 10 hours on 3GS  

•  Processing power 
600Mhz Processor and 256 RAM 

Some of these issues might be sorted out when 
the 4G comes out

Video Implementa,on 
•  Mul,ple frames per second 
•  Real‐,me processing

Why work on videos? 
•  To simulate our percep,on of driving

Consciousness 
•  An insight to how vision works and how the 
brain creates consciousness

But the idea is... 
•  To be able to use it in your car any,me you 
want  
•  To reduce the loss of lives on the road

Thank You  Drive Safe ;) 

                   majaidi@gmail.com 

              hLp://www.linkedin.com/in/majaidi

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A Vision based Driver Support System for Road Sign Detection

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Road signs provide important information for guiding, warning, or regulating the drivers’ behaviour in order to make driving safer and easier. The Road Sign Recognition (RSR) is a field of applied computer vision research concerned with the automatic detection and classification of traffic signs in traffic scene images acquired from a moving car. Pavement Management Services has developed the first truly spatially registered video system in Australia. The digital video system offers continuous, high resolution video capture of five different views along the roadway. In this paper a road sign recognition system (RS2) for the high resolution roadside video recorded by PMS system will be introduced. The recognition process of RS2 is divided into three distinct parts: detection and location, recognition and classification, and display and record for information of road signs. While lots of attempts at automated sign recognition were based on the detection of shape patterns, the proposed method for PMS Video detects road signs by recognising their patterns in color space. Based on the performance testing of proposed RS2 for the road video collected in state highway network, the proposed approach is found to be robust and fast for detection of most of road signs commonly found in New Zealand, including warning signs, information signs, regulatory signs, and street signs. The sign recognition results include the exact locations of the road sign, types of road sign, and the images containing the road sign detected, which can be presented in various format and be used in sign condition evaluation for asset management.

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