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Pedestrian detection using image processing for an effective traffic light controlling system

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dc.contributor.author Chathumini, K.G.L.
dc.contributor.author Kumara, B.T.G.S.
dc.date.accessioned 2018-08-06T08:10:48Z
dc.date.available 2018-08-06T08:10:48Z
dc.date.issued 2018
dc.identifier.citation Chathumini,K.G.L. and Kumara,B.T.G.S. (2018). Pedestrian detection using image processing for an effective traffic light controlling system. International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka. p.74. en_US
dc.identifier.uri http://repository.kln.ac.lk/handle/123456789/18959
dc.description.abstract Traffic congestion and road pedestrian accident are the two major issues that the Sri Lankan society faced toady. These two issues can be reduced by use of traffic light controlling system in an effective way. This research paper proposed a system to make effective PEdestrian LIght CONtrolled (PELICON) crossing system using image processing. The proposed system consists of three major parts. That is CCTV camera, the system, and pair of poles with standard traffic light system. First the system captures an image of pedestrians who are waiting to cross the road, using CCTV camera. Then the system processes the image to identify and detect the number of pedestrians. Finally, if the number of pedestrians exceeds a given threshold value or pedestrian waiting time is exceeded, then the logical part of the system works and produces a result to control the traffic light system. This system that uses PELICON crossing system could be more effective than a button clicking PELICON Crossing system. en_US
dc.language.iso en en_US
dc.publisher International Research Conference on Smart Computing and Systems Engineering - SCSE 2018 en_US
dc.subject Color detection en_US
dc.subject Image processing en_US
dc.subject PELICON crossing system en_US
dc.subject Traffic congestion en_US
dc.title Pedestrian detection using image processing for an effective traffic light controlling system en_US
dc.type Article en_US


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