Research And Implementation Of Mobile Face Recognition System

At present,face recognition technology is developing rapidly,which promotes the development of security,attendance recording,human-computer interaction and other aspects of the society.It is no longer satisfied with the scenario in research applications and getting on the way to commercialization.Face recognition system will encounter a lot of challenges,such as system capacity,algorithm accuracy,development convenience and so on.This paper analyzes the behaviors of three roles in the system:developers and managers and users.And designed a face recognition system with microservice technology as the main framework and implemented it.The system not only supports the scalability of the capacity,simple deployment,but also has the feature of development friendly features that satisfies both scientific research and business.The system contains concepts of many open source projects and other face recognition systems.The innovation of this paper includes involving "developer" into the system and taking the actions of all roles into consideration in the second chapter.The third chapter considers the features difficult to realize,proposed a design of face recognition system based on microservices and containerization technology,and implements a mobile face recognition system.In the fourth chapter,a testing environment was established and the system was deployed.The system was fully tested then.The fifth chapter summarizes and looks forward for the system.