Member authentication-management method, device and system based on face identification

Abstract

The invention provides a member authentication-management method, device and system based on face identification. The method comprises that an infrared camera device is used to monitor a scene within a specific area; when a consumer image is found in the monitored scene, a face image of a present consumer is extracted from the consumer image; whether there is a living body in the specific area is detected, and the face image matches and is compared with a member face image pre-stored in a data base; when it is detected that there is a living body in the specific area and a comparison result shows that the present consumer belongs to members, the present consumer is reminded of member identity information and consumption information; when it is detected that there is living body in the specific area but the comparison result shows that the present consumer does not belong to members, the present information is reminded of consumption information and member joining prompt information; and no operation is carried out when it is detected there is no living body in the specific area. The method, device and system do not influence by illumination conditions, and the consumer himself / herself can be effectively discriminated from a picture / video.

Description

technical field [0001] The present invention relates to the field of identity recognition, in particular to a member authentication and management method, device and system based on face recognition. Background technique [0002] Many merchants now adopt a membership consumption system. Consumers can apply for a membership card to become a member. During the consumption process, they need to show their membership card or phone number for identity authentication. However, this identity authentication method has many shortcomings, such as when the membership card is lost, stolen by others or forgotten to carry, the merchant cannot determine whether the consumer is the member himself. Moreover, it is not convenient and concise enough for consumers to show their membership cards or phone numbers when they consume. [0003] In order to simplify the identity authentication process, merchants have begun to use face recognition for membership authentication. However, the existing ...

AI Technical Summary

Problems solved by technology

However, the existing member authentication methods of face recognition are easily affected by lighting conditions. Under weak or strong lighting conditions, there is a problem of low recognition accuracy, and there is a problem of using members' photos or videos to deceive businesses. consumption situation

[0004] For the above-mentioned member authentication method of face recognition, there is no way to distinguish consumers from photos or videos, and it is easily affected by lighting conditions. At present, no effective solution has been proposed.

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