Enterprise mobile social network system based on face recognition

Abstract

The invention discloses an enterprise mobile social network system based on face recognition and belongs to a social system. The enterprise mobile social network system comprises a personnel information database system, a face recognition system and a web server; the personnel information database system is used for building a personnel information database in which face images and personnels have one-to-one correspondence relationships; the face recognition system is used for detecting face images and locating key feature points of the faces, after pre-processing, a back-end recognition algorithm is fed in, and the back-end recognition is used for extracting face features; the web server is used for allowing a user to log in after passing the authentication. The enterprise mobile social network system based on the face recognition has a face recognition and finding function and a face recognition optimizing function, changes the situation that the existing face recognition technology is only used for the authentication security field, introduces the increasingly sophisticated and practical face recognition technology into the daily production and life, enables social customs of people to be changed in a certain extent, and becomes a new highlight of the development of the mobile social network.

Description

technical field [0001] The invention relates to a network system, in particular to a mobile social networking system based on face recognition. Background technique [0002] With the continuous development and progress of society, large-scale enterprises continue to emerge, and there are too many enterprises with more than a thousand employees. The competition between enterprises will become more cruel. The competition of enterprises is ultimately the competition of talents. Excellent remuneration and good benefits, how to increase the sense of belonging and identity of employees to the enterprise will become the key considerations for enterprises to retain talents. [0003] At the same time, with the continuous development of the enterprise, the number of employees in the enterprise continues to increase, and the number of departments in the enterprise is increasing. The communication between employees in work and life between enterprises and enterprises is getting less and...

AI Technical Summary

Problems solved by technology

In fact, the most criticized aspect of Facebook's privacy protection is that the system automatically analyzes faces when new photos are uploaded. Such a system also triggers a series of personally identifiable information. If emails can be correlated with photos through Facebook's database, This may lead to information security issues. In addition, because the photo labeling or tagging function is like writing the person in the photo on the back of the physical photo, not all users tolerate the behavior of the system automatically turning on the face recognition function without permission.