The invention discloses an intelligent traffic monitoring method based on the Internet of Things, and the method comprises the following steps: 1, achieving the discrimination of non-motor vehicles through combining an included angle between a vehicle seat and a human body, and a driving speed; 2, detecting a non-motor vehicle violation behavior, and giving an alarm for the violation behavior; step 3, recording violation information of the non-motor vehicle, and generating corresponding feature information; step 4, violation information statistics and action track analysis are carried out on the vehicles in the file, the non-motor vehicle classification and distinguishing module is used for capturing non-motor vehicle images in real time and accurately classifying the electric bicycles and the bicycles through an advanced image processing technology, and the violation behavior detection and warning module is used for detecting violation behaviors of the electric bicycles and the bicycles. The non-motor vehicle violation behavior detection method is used for accurately detecting the non-motor vehicle violation behavior through traffic light state detection and face/license plate recognition, and has the characteristic of improving the accuracy and real-time performance of violation detection.
本发明公开了一种基于物联网的智能交通监控方法,该智能交通监控方法包括以下步骤:步骤一:通过结合车座与人体夹角以及行车速度,实现非机动车的区分;步骤二:对非机动车违章行为进行检测,并针对违章行为进行警告;步骤三:记录非机动车的违章信息,并生成相应的特征信息;步骤四:对档案内的车辆进行违章信息统计和行动轨迹分析,其中,所述非机动车分类与区分模块,用于实时捕捉非机动车图像,通过高级图像处理技术准确分类电动自行车和自行车,所述违章行为检测与警告模块,用于通过红绿灯状态检测和面部/车牌识别,准确检测非机动车违章行为,本发明具有提高违章检测的准确性以及实时性的特点。
Intelligent traffic monitoring method based on Internet of Things
一种基于物联网的智能交通监控方法
11.04.2025
Patent
Elektronische Ressource
Chinesisch
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