The invention belongs to the technical field of application of artificial intelligence, big data and convolutional neural networks in traffic, and particularly relates to a road traffic target attribute recognition method based on a deep convolutional neural network. A first sub-server, a second sub-server, a third sub-server and a fourth sub-server are built on the basis of the total server; a total database is established, the combination of numbers, letters and underlines is used as the name of the total data, and the name of the database is different from the names of other databases, that is, it is guaranteed that the name of the total data is unique; the system has the advantages that whether the license plate of the vehicle is normal, whether the annual inspection mark is pasted and whether the vehicle owner illegally modifies the vehicle are known, so that the condition of the vehicle is comprehensively known, the task load of the traffic bureau is greatly reduced, the corresponding sub-server is arranged to process the corresponding data, the data processing speed is high, and the requirement of big data is met.
本发明公开的属于人工智能、大数据、卷积神经网络在交通中应用技术领域,具体为一种基于深度卷积神经网络的道路交通目标属性识别方法,具体包括以下步骤,搭建总服务器,并在总服务器基础上搭建第一子服务器、第二子服务器、第三子服务器和第四子服务器;建立总数据库,并利用数字、字母和下划线的组合作为总数据的名称,并且数据库的名称不同于别的数据库的名称,即保证总数据的名称唯一;本发明的有益效果是:得知车辆的车牌是否正常,年检标是否粘贴,以及车主是否对车辆进行违法改装,从而全面了解车辆的情况,大大降低交通局的任务量,通过设置对应的子服务器处理对应的数据,使得数据处理速度快,满足大数据的需求。
Road traffic target attribute identification method based on deep convolutional neural network
一种基于深度卷积神经网络的道路交通目标属性识别方法
2022-09-02
Patent
Elektronische Ressource
Chinesisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06V |
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