The invention relates to the technical field of machine vision, and discloses an intelligent traffic light control system and method based on machine vision. Firstly, an image is processed through a YOLO algorithm. Road traffic images are shot according to the installed camera, and image data shot in real time are transmitted to the image processing module; and the image processing module processes the image, extracts features in the image, shoots multiple frames of images based on the extracted features, compares and analyzes the current road traffic condition, and regulates and controls the traffic light according to the analysis result. Real-time regulation and control of traffic lights are ensured through real-time shooting and real-time analysis, when the image processing module detects an abnormal event, the abnormal event is reported to the emergency processing module, and the safety of a road is ensured through real-time processing of the emergency processing module.
本发明涉及机器视觉技术领域,公开了一种基于机器视觉的智慧交通灯控制系统及方法。首先通过YOLO算法对图像处理。根据安装的摄像头拍摄道路交通图像,并将实时拍摄到的图像数据传输至图像处理模块;图像处理模块对图像进行处理,提取图像中的特征,基于提取的特征拍摄多帧图像进行对比分析当前道路交通情况,根据分析结果对交通灯进行调控。通过实时拍摄实时分析确保对交通灯的实时调控,当图像处理模块检测到异常事件,会上报应急处理模块,通过应急处理模块实时处理,保证道路的安全性。
Intelligent traffic light control system and method based on machine vision
一种基于机器视觉的智慧交通灯控制系统及方法
2024-03-29
Patent
Electronic Resource
Chinese
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