Illegal event duplicate removal method and device, electronic equipment and machine readable storage medium

Abstract

The invention provides an illegal event duplicate removal method and device, electronic equipment and a machine readable storage medium. The method comprises the steps: receiving an analysis record for a target snapshot image, wherein the analysis record comprises whether there is an illegal event in the target snapshot image; when it is determined that an illegal event exists in the target snapshot image, inquiring whether a first target illegal event with identification information the same as that of the illegal event exists in a first cache according to the identification information of the illegal event; if so, determining whether the illegal event is repeated with the first target illegal event based on the position information of the first label box and the position information of the second label box; if so, determining that the illegal event is reported repeatedly; and if the illegal event is not repeated with the first target illegal event or the first target illegal event does not exist, determining that the illegal event is not reported repeatedly. According to the method, repeated alarm data can be reduced, and the storage overhead of the alarm data is reduced.

Description

technical field [0001] The present application relates to the field of intelligent monitoring, and in particular to a method, device, electronic equipment and machine-readable storage medium for deduplication of illegal events. Background technique [0002] At present, the digital urban management platform has transformed the original manual inspection and capture into intelligent identification. By using deep learning algorithms to analyze the pictures automatically captured by the monitoring front-end equipment deployed at the urban management construction points, it can be concluded whether there are standard violations defined by the urban management in the pictures. Behavior, automatically provide alarm information. [0003] Due to the inherent characteristics of the urban management business, illegal incidents are a continuous process. Analysis and identification of pictures captured by monitoring front-end equipment will generate a large amount of illegal alarm data, ...

AI Technical Summary

Problems solved by technology

[0003] Due to the unique characteristics of the urban management business, illegal incidents are a continuous process. The analysis and identification of pictures captured by the monitoring front-end equipment will generate a large amount of illegal alarm data, resulting in a sharp increase in the amount of alarm data, which increases the workload of business personnel. At the same time, it also increases the storage cost

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