Target person and vehicle deep mining and accurate confirmation method based on big data

Abstract

A target pedestrian and vehicle deep mining and accurate confirmation method based on big data comprises the following steps: acquiring various data, and constructing a big database resource pool for target pedestrian and vehicle deep mining and accurate confirmation; cleaning data in the large database resource pool according to a corresponding method; and according to actual requirements, the cleaned large database resource pool is utilized to deeply excavate and accurately confirm the target person and vehicle. According to the invention, the data sources can be selected autonomously in combination with data types collected in various regions and landing management and control modes, and target persons and vehicles can be guided more accurately. The method is not limited to and depends on one or more kinds of source data, and a user can carry out personalized customization according to requirements. After the model system is built and deployed, mass business data are automatically collected, target personnel and vehicles are actively identified according to a preset algorithm, and a visual information analysis product is timely generated and submitted to a related platform and terminal, so that the road surface early warning accuracy of the target personnel is improved, accurate research and judgment, real-time early warning and timely investigation are realized, and manpower is saved.

Description

technical field [0001] The present invention relates to the field of data mining, in particular to a method for deep mining and accurate confirmation of target people and vehicles based on big data. Background technique [0002] In the era of big data, data mining technology has played a huge role in many fields. A series of issues to improve the quality of security work by optimizing the traditional community verification work mode through big data and algorithms. The first field to cut into is the security field. The security data is not only massive, but also rich in types, including traditional structured data and a large amount of unstructured data. Especially for target vehicle trajectory query and target driver dynamic control, at this stage only rely on one or several source data, and the accuracy of deep mining and accurate confirmation of target people and vehicles is not high. Contents of the invention [0003] In view of the above problems, the present invent...

AI Technical Summary

Problems solved by technology

Especially for target person vehicle trajectory query and target driver dynamic control, at this stage only rely on one or several sources of data, the accuracy of deep mining and precise confirmation of target people and vehicles is not high

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