Design And Implementation Of Electronic Registration System For University Student

The registration of university students is a very important item in the management work of students,and it is also a prerequisite for many other works to be carried out.In the situation of the construction of smart campus,based on the current research and application development status of the student registration system,this paper will design and develop an electronic registration system for university student,aiming to provide an effective solution for the current problems exist in university student registration,in order to offer convenience for students' registration work and student management.The main contents of this paper are as follows:1.Requirement analysis and function design.Based on full investigation,completed the system's functional design,architecture design,database design according to requirement.Completed the module division of the system,and completed summary design,detail design and programming implementation of the system and each module.2.Designed and implemented a variety of user authentication methods,using the user name/password,face recognition,IP identification and other identity authentication ways to verify the student registration conditions.Designed and implemented the role management and matching system functions and operation rights of different users.3.Designed and implemented the data synchronization function,which provides data support for the student registration and administrator module.Data synchronization module is responsible for synchronizing the student data,educational data,financial data and class information required by the registration system from the source data into the system periodically.Ensure that the system uses the required data,but can't modify the source data.4.The data of the system is stored in the Oracle database,the back?end development uses the SSM framework,and the front-end uses HTML,JQuery,Bootstrap and other technologies.5.For security and economic reasons,the face recognition model used in this paper is a self-trained model based on Facenet,which is the Google face recognition algorithm.Taking the CASIA-FaceV5 dataset and the crawler's face dataset as training data,trained a face recognition model suitable for Asian faces,which is based on Facenet pre-training model.Based on this,the Flask framework is used to build face recognition service.