基于图像处理的智能交通灯控制系统

Asha S.M Banu, Soundarya A S Lakchida, V. Shanthini, S. L. Stinsha
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引用次数: 0

摘要

由于道路上快速行驶的车辆的增加,过马路是主要问题之一。利用本文提出的基于图像处理的智能交通灯控制系统,可以克服现有交通控制技术所面临的挑战,使行人能够方便地在繁忙的道路上行走。在各种边缘检测算法中,Canny边缘检测技术是一种非常有效的边缘检测方法。建议的方法通过立即控制交通灯来减少斑马线的等待时间,即使在交通繁忙的情况下,也为老年人和残疾人提供了更多的时间来安全过马路。与所有传统技术相比,图像处理是一种有效的交通控制方法。这种技术消除了使用不需要的硬件,如用于感知噪声的传感器。这可以防止车辆浪费时间,这对紧急车辆来说更为重要。通过图像匹配得到代码的输出。结果显示在三种场景中:流量少、流量适中和流量大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Traffic Light Control System Using Image Processing
Crossing the road is one of the major problems, due to the increase of fast-moving vehicles on the road. The challenges in the existing techniques utilized for traffic control can be overcome by using the Smart Traffic Light Control System using Image Processing, proposed in this paper and allowing pedestrians to walk on busy roads conveniently. It is found that the Canny Edge Detection Technique is a very effective method among the various edge detection algorithms. The suggested method reduces the waiting time in zebra crossing by immediately controlling the traffic light and gives more time for elderly and handicapped pedestrians to cross the roads safely even during heavy traffic. When compared to all the traditional techniques, image processing is an efficient method for traffic control. This technique removes the usage of unwanted hardware like sensors which are used to sense noises. This prevents the wastage of time for vehicles which is more essential for emergency vehicles. The output of the code is obtained by image matching. The results are shown in three scenarios: less traffic, moderate traffic, and more traffic.
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