Abstract
Abstract: An efficient management system is imperative to address the frequent traffic congestion experienced at major intersections. This paper proposes the implementation of an intelligent traffic controller that utilizes real-time image processing. By employing various edge detection algorithms and object counting methods, the camera footage is analyzed to effectively manage the traffic flow. Previously, a matching method was employed, wherein cameras were installed alongside traffic lights to capture sequential image sequences. These images were then compared to a reference image depicting an empty road. However, in my paper, a filtering method is utilized instead. This method effectively filters out unwanted objects, focusing solely on vehicles, and accurately determines the number of cars present in each image.
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