Design And Realization Of Comprehensive Application System Of College Apartment Based On Face Recognition Technology

In the traditional management of college apartments,the management of the dormitory is basically carried out by the residents,but the theft of the apartment is still not avoided.In the management of student apartments in China,the use of mobile Internet is still very limited.The old apartment management system is usually only the C/S mode,which brings certain limitations to the use of the system by students and teachers.Comprehensive management is not perfect.On the other hand,as an important part of campus culture,college apartments are also receiving more and more attention from all parties in the school.In order to improve the security of college apartments and the construction of dormitory culture,this paper intends to design college apartment complex based on face recognition.Application system to achieve full management of campus apartments.Based on face recognition,the university apartment comprehensive application system adopts Android technology,AdaBoost face detection technology,Java related technology,etc.Through these technologies,it can establish a comprehensive management local area network for college apartments,and technically guarantee the normal system.run.From the perspective of maintaining the normal security order of college apartments and improving the cultural construction of student apartments,this paper conducts in-depth demand analysis on system business,face image collection,user registration and login,user information management,apartment access management,bedroom culture management and Six main functional modules,such as mobile online payment for utility bills,were used for case analysis and system design,and a complete system database was built.According to the characteristics of large amount of data and types of the system,the big data storage function is designed to solve the problem that the existing university apartment management system has imperfect access control functions.Finally,the system implementation and testing are completed.By simulating the forward and reverse campus environment,the face recognition effect of the system is tested and tested to ensure that the system can perform face image acquisition and other functions quickly and accurately.The main application security system solves the problem of major access control security.The system has now entered the trial operation phase.Up to now,the system is running well and there is no obvious adverse feedback.With the support of this system,it can provide effective protection for the healthy operation of the campus.The innovation of this system is to use the Android development platform technology to summarize the application of the comprehensive management of the function apart ment,and realize the functions such as access control,information inquiry,and water and electricity payment for the students on the mobile phone.In addition,the introduction of face recognition technology into the comprehensive application system of c ollege apartments can not only reduce the work of the boarding staff,but also collect and record the traffic information,identify and verify the entry and exit personnel,and prevent illegal entry.Compared with manual management,face recognition management can be done without any omissions,and the students' travel experience is more convenient and comfortable,and the comprehensive management level of colleges and universities is improved.Among them,the focus on the face recognition technology is a detailed analysis,an algorithm based on statistical analysis PCA(principal component analysis)is introduced,the core algorithm idea of the algorithm is described in detail,and it is combined with LDA algorithm.The DCT algorithm performs comparative analysis of experiments to verify its recognition effect,which is conducive to improving the overall efficiency of university apartment management.