Data management system for face recognition

Abstract

The invention discloses a data transmission system for face recognition, comprising a face registration modeling module, a monitoring list module, an identity authentication module, an identity recognition module, a network interface module and a data query module; the data query module acquires identity information of a customer according to a face searching recognition result. In the data transmission system, a network database and a local data system are effectively combined and one-to-one identity comparison and one-to-more searching comparison are provided, so as to provide a high-efficiency and reliable intelligent identity recognition data system design and management scheme for face recognition of large-scale databases; therefore, a face recognition system has high reliability, high expansibility and high efficiency, can support large scale person-image comparison calculation, can not affect the comparison speed, and simultaneously can effectively prevent the condition that people illegally uses identity cards of other people to carry out illegal criminal activity in public service occasions such as a hotel and the like.

Description

technical field [0001] The invention relates to the field of biological identification, in particular to a large-scale data management system for face identification. Background technique [0002] The hotel is a consumer place for comprehensive services such as accommodation, catering, business, and entertainment. It has many public areas, a large area, a large number of people entering and leaving, and a high frequency. The complex environment waits for opportunities to commit crimes, and crimes occur from time to time, objectively forming a great public security risk. The use of intelligent hotel security systems to strengthen hotel management will not only have a strong deterrent effect on criminals, but also strengthen the confidence of guests with the reduction of crime cases, which will help improve the credibility of the hotel and serve the hotel's reputation. Continuing operation lays a safe foundation, which is also a key factor in determining a hotel's profitabili...

AI Technical Summary

Problems solved by technology

There is still a certain gap between the domestic face intelligent recognition system and foreign cutting-edge technologies in terms of face image acquisition, recognition accuracy and speed, and the stability of products in practical applications is not ideal, mainly reflected in most products. It is sensitive to changes in lighting, age, expression, posture, distance and other conditions. When some conditions change slightly, the recognition effect will be greatly reduced, and the search and comparison speed cannot meet the requirements of real-time processing, especially in the database scale. In the case of an increase, the false recognition rate (FAR) is too high, and the resulting false alarm (False Alarm) phenomenon makes many businesses and public security departments discouraged from security alarm systems based on face recognition.

[0007] In addition, the background database design of the domestic face recognition system lacks an effective data support and management solution suitable for the online mode of the large database, making it impossible to form a highly interconnected dynamic monitoring network system between remote data, local data and management servers. Factors have affected the large-scale promotion and application of these products in high-end face intelligent monitoring and precise search with security value

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