Searching method of sapphire warning picture

Abstract

The invention discloses a searching method of a sapphire warning picture. The searching method comprises the following steps that: a user computer submits searching letter request information to an HTTP (Hyper Text Transport Protocol) server; the HTTP server judges the legality of the submitted searching letter request information; a database server performs searching according to the conditions of a searching request after receiving the searching request; the database server returns the searching result to the HTTP server, wherein the searching result includes a warning picture name; the HTTP server initiates a request to a file storage server; the file storage server starts to find a picture file with the file name after receiving the request sent by the HTTP server, and returns the picture file with the file name to the HTTP server; the HTTP server receives the warning letter information and the warning picture file and returns the information to the user computer; and the user computer obtains the required result. The searching method has the advantage that the searching efficiency is improved.

Description

technical field [0001] The invention relates to a search method, in particular to a search method for sapphire alarm pictures. Background technique [0002] At present, the common way to look back at the scene of the incident is to play the live video and view screenshots of the incident, and to watch the video repeatedly by dragging the time axis of the player, looking for useful information from the video information, or analyzing the existing after-the-fact information. Screenshots for review and verification. When viewing screenshots, it is necessary to compare them one by one, and cannot selectively filter, and cannot flexibly search and look back at the scene where the incident occurred based on attribute characteristics. [0003] Once it is necessary to retrieve an event whose exact occurrence time is unknown, the traditional approach will have to face the problem of viewing a large number of pictures or videos one by one, and the time it takes to find the result is ...

AI Technical Summary

Problems solved by technology

When viewing screenshots, it is necessary to compare them one by one, and cannot selectively filter, and cannot flexibly search and look back at the scene where the incident occurred based on attribute characteristics

[0003] Once it is necessary to retrieve an event whose exact time of occurrence is unknown, the traditional approach will have to face the problem of viewing a large number of pictures or videos one by one, and the time it takes to find the result is unpredictable

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