Research And Implementation Of Intelligent Management System For Teaching Based On Face Recognition Engine Of Seetaface Lib

In the vocational education system in our country,face-to-face classroom bear the main teaching task,but compared to the online classroom,face-to-face classroom application research progress is relatively slow,mainly because of the traditional classroom data acquisition is difficult,to a full range of automated data collection and data generation,which can lead to difficult to in-depth data analysis,so how to improve the classroom efficiency imparts and the quantitative evaluation of the learning process,and is the common difficulties and system application of blind area.Based on this background,according to many years of experience in teaching practice classroom management and teaching assistant software design experience,and research related research and application,this paper proposes a face-to-face classroom based on face recognition engine intelligent management system,using facial recognition technology,assist teachers to carry on the face-to-face classroom management and teaching evaluation in this paper,the main work includes:(1)Put forward and establish a model based on quantitative appraisal behavior score,will be assessment problem of qualitative analysis and quantitative analysis of the classification problem of abstract into a machine learning model and solve problems of distance function,and structured data were collected using facial recognition technology based on regression model,the design of machine learning algorithm and training algorithm,realize the teaching process of the dynamic supervision and data index calculation,get the classification of the curriculum effect evaluation and score evaluation sample collecting and processing image data,in machine learning and training,establish behavior tag data;Finally,the experiment of transplantation and engineering implementation of Seetaface face recognition open source library and algorithm shows that the scoring model can effectively distinguish students' classroom behaviors.(2)To face-to-face classroom intelligent management system requirements analysis and design,according to the student teacher's teaching management personnel three roles,usage scenario analysis system and operation process,the analysis of the use case diagram and system function,using the flow chart and the ER diagram for the detailed system design based on face recognition module and category labels,the behavior score model embedded into the system,design and realize the classroom management system has the function of application system can according to the student teachers' teaching management system user permissions,realize students sign in student behavior in class teaching management monitoring and actions to correct classroom assessment application functions such as whole The operation of the system shows that it can meet the needs of daily teaching.