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Automatic Traffic Management System Using YOLO

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Document pages: 4 pages

Abstract: Traffic congestion is one of the major problem in today’s world, which is need to be solved to improve traffic control and management. Vehicle flow detection appears to be an important part in today’s traffic management system. In this project, we propose an automatic traffic management system for vehicle detection and counting and automatic signals Scheduling. The camera supplies video input to the processing engine. Initially the video will be streaming on all four roads of the traffic circle. The values will be read frame by frame in the streaming video of these roads. Camera sends all the captured input images to the processing engine and this works based on the neural network. The traffic flow shows the traffic state in fixed time interval and helps to manage and control the traffic especially when there is a heavy traffic and will consider emergency vehicles like ambulance and fire brigades, giving them priority to go.

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