Suspicious vehicle detection method

Abstract

The invention relates to a suspicious vehicle detection method which comprises the following steps: S10, acquiring data information of all vehicles, including position data, parking data, equipment data uploading time and the like; S20, cleaning the data, and selecting off-line, parking or equipment alarm vehicle data; and S30, setting white list data, wherein the white list refers to a garage ofa client company, an installation waiting place and the like, wherein a system firstly filters white list data, and if the position of the vehicle is within 1 kilometer in the white list, the white list data is firstly filtered and eliminated; s40, carrying out clustering operation, generating a data set C, wherein the number of similar data elements in the set is larger than 5; and S50, outputting all elements in the set C, namely suspicious vehicles. According to the method, the detection steps can be reduced by applying a special operation method, the vehicle can be better checked, and meanwhile, the position data, the parking data and the data uploading time of the equipment are synchronously tracked, so that the vehicle can be better detected by the method.

Description

technical field [0001] The invention relates to the technical field of suspicious vehicle detection, in particular to a suspicious vehicle detection method. Background technique [0002] At present, video surveillance is very common. Many important places are equipped with multiple cameras to monitor the surrounding conditions of the place and detect suspicious persons or vehicles intruding in time. However, since there are many monitoring screens in most monitoring rooms, it is difficult for the duty personnel to take care of all the places to be monitored. In addition, due to the fatigue or negligence of the duty personnel, many suspicious targets are often missed, which brings great losses to the monitoring places, so suspicious vehicles appear. detection methods, but the traditional detection methods are not effective and cannot more effectively check the vehicle. [0003] In response to the above problems, we improved and innovated the traditional measurement method, a...

AI Technical Summary

Problems solved by technology

However, since there are many monitoring screens in most monitoring rooms, it is difficult for the duty personnel to take care of all the places to be monitored. In addition, due to the fatigue or negligence of the duty personnel, many suspicious targets are often missed, which brings great losses to the monitoring places, so suspicious vehicles appear. detection method, but the traditional detection method is not effective, and cannot more effectively check the vehicle

[0003] In response to the above problems, we improved and innovated the traditional measurement method, and proposed a suspicious vehicle detection method, which solved the problem of low reliability of the existing process and the inability of the existing beverages to meet the needs of the market and consumption upgrades

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