| Checking the attendance of every student in the classroom is an essential part of the course teaching,but it is not only a heavy job,but also a time-consuming job.Using traditional methods to manage students’ attendance is a challenge in recent years.According to the different requirements of the classroom attendance environment and the teaching parties in the campus teaching process,this paper analyzes the functional requirements and performance requirements of the classroom attendance system for face recognition,and makes in-depth research on face detection technology,face recognition technology and attendance system.Combined with the latest research progress and achievements of face detection and recognition technology,a classroom attendance scheme based on face recognition is designed on the premise of meeting various requirements.According to the system function module division,this paper designs the software and hardware architecture of each module,mainly including four modules:image acquisition module,image detection and identification module,database module and attendance module.In this paper,the advantages and disadvantages of some face detection and recognition algorithms are compared and analyzed.SSD(Single Shot Multibox Derector)algorithm is selected for face detection and LBPH is used for face recognition.The system adopts Struts technical framework,B/S system structure pattern,J2 EE architecture and SQLServer database,designs and implements image attendance module and database information module,providing a more convenient,intelligent and reliable scheme for attendance management in campus teaching. |
