User Information Collecting And Matching System Based On Face Recognition

With the extensive application of new media advertising and the rapid development of information technology, we can achieve a new business model with using the existing relevant technology, after the thinking and analysis of existing problems about vertical areas. In this business model,need to collect and record the past user's behavior and show again at the right time, so that the user's behavior record can be used.The user information collecting and matching system uses the technology related to face recognition to gather the relevant information when the user is staying at the big screen controlled by the " display and control terminal system ", when the user appears at the counter for business, the system uses the technology of face recognition to match the user's information which was collected before and shows the information to the salesman to use, so as to help salesman to promote products and business.Firstly, this thesis analyzes the function requirements and performance requirements of user information collecting and matching system and designs the overall design of the system, the system is divided into three parts: user information collecting terminal, user information storage terminal and user information matching terminal. Wherein the user information collecting terminal comprises four modules: a video collecting module, a user information collecting module, an advertising history recording module and a network communication module; the user information storage terminal comprises a network interaction module and a user information storage module; the user information matching terminal comprises a local user information storage module, a network communication module and a user information matching module.Secondly, the design and implementation of these three parts are described in detail. Then, describe the deployment of the entire system simply and test the key features of the three parts.In the end, summarize the system briefly and propose the direction of further improvement and optimization.