Online and Offline Integration of Smart Educational Monitoring System based on Face Recognition Smart Sign-in Devices

Online and offline integration of smart educational monitoring system based on face recognition smart sign-in devices is studied in the paper. The face image analysis algorithm proposed by us is a data simplification analysis method that commonly used for feature extraction and dimensionality reduction. It can not only concentrate the useful information in multi band images into the new principal component images as few as possible, but also make these principal component images uncorrelated, thus greatly reducing the total amount of data. The application of artificial intelligence technology in the smart classroom check-in system will improve the efficiency of attendance check-in and facilitate teachers' management of the class. Hence, the combination of these 2 technologies have been studied. Through the testing, the performance is validated.