Vehicle video data mining method for traffic violation evidence obtaining

Abstract

The invention relates to a vehicle video data mining method for traffic violation evidence obtaining. The method comprises the following steps that: 1, a video device acquires a vehicle violation process image; 2, the video device performs mode recognition on the vehicle violation process image, and extracts vehicle characteristics; 3, a master controller captures vehicle characteristic data by using a video data mining module, and packages the data; 4, the master controller and a display store, query, print and export the content of a data packet; and 5, the master controller sends vehicle violation image data to a management center service manager through a wireless network or a wired network. According to the method, violation behavior data of a vehicle can be accurately acquired; the violating vehicle can be detected, recorded, searched and queried; a traffic management department is assisted to punish and educate a violation driver, and the violation driver is impelled to voluntarily obey the traffic rules and to raise road traffic safety awareness; and violation and accidents are reduced, road traffic smoothness is ensured, and a harmonious and safe society is built.

Description

technical field [0001] The invention relates to a vehicle video data mining method for traffic violation evidence collection. Background technique [0002] In today's society, urban transportation is developed, and the number of cars owned by the whole society has skyrocketed. Major cities in our country are striving to develop traffic, strengthen traffic management, and improve traffic efficiency are major responsibilities and urgent requirements. [0003] With the increase of the mileage of vehicles and roads in our country, the speed of vehicles has increased, and traffic accidents have continued to increase, which has affected the development of the national economy and the normal life of the people. One of the main factors leading to the increase in the number of traffic accidents is various violations of rules and regulations caused by humans and non-humans during the driving process of vehicles. [0004] Relevant violations include: running red lights, illegal parki...

AI Technical Summary

Problems solved by technology

If the parties take the initiative to accept the punishment, they are required to confirm the violation process or the party did not come to handle the punishment matters when going through the punishment procedures, the traffic police will need to find out the evidence of the violation process from the video tape. , the retrieval query will be time-consuming and labor-intensive or even difficult to implement

In addition, it is also difficult for the traffic police to search for evidence from massive data and impose heavier punishments in accordance with traffic rules for parties who go through the formalities of accepting punishment at the end of the deadline

[0008] The problem existing in the existing technology is that it is necessary to effectively record, store, mine, retrieve, query and supervise the law enforcement of the vehicles involved in the image data of the massive vehicle violation process; the amount of storage media increases; after the vehicles involved are punished, it is difficult to Effectively retrieve or inquire about the implementation of the punishment of the vehicles involved; lack of technical means to supervise the enforcement of the vehicles involved; it is difficult to count the density and distribution of vehicles in violation of regulations; it is difficult to analyze the work efficiency of law enforcement personnel; When applying for administrative reconsideration or filing an administrative lawsuit in accordance with the law, the traffic management department of the public security organ must authorize special legal personnel to extract the original vehicle violation history video of the party from the massive data as evidence and present it in the reconsideration or administrative lawsuit

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