Design And Implementation Of Intelligent Education Management Platform Based On Face Recognition

In recent years,the development of artificial intelligence has greatly changed the way people worked and lived.Intelligence has appeared in various fields one after another,bringing great convenience to people.It is believed that the education is one of the most important issues for a family,as the country's emphasis on education and family,the number of students on the rise year by year,followed by the number of the teachers and students in the number of serious imbalance,the teacher can't in at the same time to ensure the quality of education to all the students of class status,give attention to two or more things through artificial intelligence aided education helps to realize the education fair.In recent years,face recognition technology has achieved remarkable results in security,attendance and other fields,providing ideas for intelligent education.The design principle of the intelligent education management system based on face recognition described in this paper is the cooperation between artificial intelligence and teachers.The face recognition technology is applied to classroom attendance and student status monitoring to improve the learning quality of students and form a man-machine collaborative decision-making mode.The intelligent education management system based on face recognition designed and implemented by the author includes the class attendance,the class of condition monitoring,class analysis,four main module,background management class attendance module in the system main function is half an hour before the class began,the camera began to 30 s to capture a student video information and the server back to the algo'rithm,using multitasking convolution neural network for face detection,then send pictures to FaceNet model for face recognition processing,to storage the identification information to the students;In class,the status detection module is mainly based on the simultaneous analysis of facial expression recognition and face recognition.The camera of the facial expression recognition module will capture the video information of the student once for 30s for the purpose of expression recognition.The expression captured by the student twice will be compared to judge the state of the student.The face information of students is detected through face recognition.If the face of students is not found for a long time,the concentration degree is set as non-concentration,and a notification is sent to the system to prompt the teacher to check.The classroom report analysis module is to analyze the whole class attendance,expression and pre-class evaluation information of students,draw the classroom study report of students and send it to parents' text messages or email,and make statistics on the daily classroom situation of classes and teachers,so as to provide teaching reference for the school.The background management module is to manage and maintain the basic information of students,classes,teachers and courses in the system.On the basis of face recognition,the system realizes the monitoring of students'educational quality,and has passed the real-time test and performance test.To a certain extent,it can improve the students'classroom learning quality and the teacher's monitoring of the students' classroom quality.