Please use this identifier to cite or link to this item: http://repository.kln.ac.lk/handle/123456789/18959
Title: Pedestrian detection using image processing for an effective traffic light controlling system
Authors: Chathumini, K.G.L.
Kumara, B.T.G.S.
Keywords: Color detection
Image processing
PELICON crossing system
Traffic congestion
Issue Date: 2018
Publisher: International Research Conference on Smart Computing and Systems Engineering - SCSE 2018
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.
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.
URI: http://repository.kln.ac.lk/handle/123456789/18959
Appears in Collections:Smart Computing and Systems Engineering - 2018 (SCSE 2018)

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