Application And Research Of Face Recognition Technology In Smart Campus System

Schools are the main driving force for the development of national science and technology and personal ability.Education is the fundamental way to achieve national rejuvenation and social progress.To realize the Chinese dream,education is the top priority.The traditional campus learning,living and development model has been unable to keep pace with the times.With the gradual development of university information construction,the information system used in schools is more complicated,and simple business management and data query can no longer meet the growing information.Improving the degree of informationization in the campus,promoting the modernization of educational content and promoting the overall improvement of education quality have become the development goals of university information construction.With the development and application of smart campus construction,it will promote the construction of school information and strengthen the core competitiveness of schools.It can analyze the information in learning,research and management activities,share the scattered data,and monitor the environment and teaching situation in real time.The smart campus can solve the current digital campus construction,eliminate the classroom teaching dilemma,optimize the teaching and management process.It is of great significance to promote the cultivation of students' innovative ability.The campus monitoring system is an important data resource for the smart campus.Connecting the monitoring system to the smart campus can change the utilization of campus data,improve the utilization efficiency of hardware devices,and improve the real-time perception ability of the campus.Face recognition has its natural security advantages and practical advantages due to its uniqueness and lifetime invariance.Realizing management automation after the introduction of face recognition in the monitoring system can improve campus management,reduce campus management costs,and strengthen security and other advantages.Face recognition has many advantages.It has achieved initial success in security and other fields.The school's requirements for safety are stricter.Improving security support has always been the focus of campus construction.Therefore,the application of face recognition technology on campus has become a response.A wise choice for socialdevelopment.The research and main work of this paper are as follows:1.According to the existing algorithms and techniques related to face recognition and deep learning image recognition,a more accurate and efficient face image processing method and a more stable and feasible face recognition application scenario and algorithm flow are selected.2.According to the problem of feature dispersion and feature change encountered in face recognition process,a face feature fixing method based on picture features and face pose is proposed.The image is classified according to the calculated horizontal deflection angle of the face.Face area features are fixed to specific areas of the image.3.According to the research direction of the latest deep learning face recognition method,an improved face recognition method based on cosine and distance loss function is proposed.This method enhances the classification effect by expanding the class spacing to reduce the class distance.4.Using the public data set to verify the accuracy of the proposed face recognition method,the recognition rate reaches 91.5%,the recognition efficiency is high and no model update is needed,which has better portability and practicability than the training complete convolutional neural network.