Checking-in method, device and system based on face recognition

Abstract

The embodiment of the invention provides a checking-in method, device and system based on face recognition. The method comprises the steps that when log-in information, aiming at a checking-in client side for face recognition, input by a user is authenticated, and it is determined that terminal equipment is located in a preset checking-in area, a preset checking-in interface is output; a first face picture which is called based on the preset checking-in interface, taken by a front-facing camera and related to the face with an acquiescent expression of the user is obtained; it is ensured that the face is kept in the image collecting area of the front-facing camera within a preset response operation countdown and user executing result information corresponding to an action instruction related to the face is completed; whether checking-in triggering conditions are met or not is judged based on the user executing result information, and if yes, the checking-in state of the user is determined through a first server for checking-in management based on the first face picture. According to the scheme, the risk of carrying out false checking in through an existing picture can be reduced, and the checking-in effective rate is increased.

Description

technical field [0001] The present invention relates to the technical field of face recognition, in particular to an attendance method, device and system based on face recognition. Background technique [0002] Attendance is a necessary measure for the daily management of enterprises, and attendance based on face recognition is a common way of attendance. [0003] In the prior art, the attendance system based on face recognition includes: a client and a server. Specifically, the user uses a client in a terminal device such as a smartphone to log in to the attendance server through a username and password, and the client uses the client in the terminal device to log in to the attendance server. Modules such as WiFi module or GPS module perform positioning. When the located position is located in the attendance area, the user's face image is collected, and the server calculates the image similarity between the user's face image and the pre-saved user's face image. , if the im...

AI Technical Summary

Problems solved by technology

Although this attendance plan can quickly realize the attendance of a large-scale group of people, because the face recognition used is a static face recognition, it cannot distinguish the real face from the face image of the user that has been taken in advance, resulting in Reduced attendance efficiency

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