Normalized Model of Traffic Light Traits Based on Colored Pixels


Nowadays, because of the growing numbers of vehicles on streets and roads, the use of intelligent control
systems to improve driving safety and health has become a necessity. To design and implement such
control systems, having information about traffic light colors is essential. There are the wide variety of
traffic lights in terms of light intensity and color. Therefore it seems that design and practical
implementation of these systems with acceptable performance is difficult. The study has been discussed
extracting, Categories and the offer of a specific model for color and intensity of traffic signals based on
an improved algorithm. The proposed intelligent system will detect traffic lights through images by
installing camera instead of using electronic sensors. After capturing, the image sequence will then be
analyzed using computer based programs for extracting of lights specifications.


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