A face recognition method, client, server and system

Abstract

The invention provides a face recognition method, client, server and system. The system includes a client and a server; the client is configured to prompt the user to select a collection area and a selected time period when it is detected that the user drags the target picture to a preset area, and receive the collection area selected by the user and a selected time period, and send a picture detection request to the server; the server is used to determine the target picture set according to the collection area and the time period, and traverse the target picture set to determine whether there is an object related to the target picture set in the target picture set. A matching picture whose similarity to the target picture is greater than a preset threshold, and if there is a matching picture whose similarity to the target picture is greater than a preset similarity in the target picture set, send the matching picture, so that the client displays the matching picture. In this way, face recognition can be completed without manual participation, thereby greatly improving work efficiency.

Description

technical field [0001] The invention relates to the field of face recognition, in particular to a face recognition method, client, server and system. Background technique [0002] Face recognition technology refers to a technology that uses image processing technology to collect face images through cameras, and compares and analyzes the acquired images to obtain the required information. At present, face recognition technology is widely used in security systems, enterprise management systems, identity authentication and other fields. [0003] In practice, it is found that when users need to obtain other image information based on existing face sample images, they often need to constantly check the image information collected by surveillance cameras or other camera equipment to manually identify the required image information. , the recognition work takes a long time and is inefficient, which brings inconvenience to users. Contents of the invention [0004] The embodiment...

AI Technical Summary

Problems solved by technology

[0003] In practice, it is found that when users need to obtain other image information based on existing face sample images, they often need to constantly check the image information collected by surveillance cameras or other camera equipment to manually identify the required image information. , the recognition work takes a long time and is inefficient, which brings inconvenience to users

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