Design and Implementation of WA Face Recognition System based on Small WeChat Program

Aiming at the disadvantages of traditional check-in time occupation and complicated personnel operation, this paper develops a system for WA face recognition with the help of small WeChat program. Based on the features of Wa people's faces, the system designs three modules: user authentication, face uploading and face recognition. Realizing it by small WeChat program development tools and Django framework, the background uses MySQL database as the base database. In order to achieve better recognition, the 1000 WA face pictures collected are mainly constructed, the data set is trained by convolution neural network, the ratio of training set to test set is 8:2, and the result of final test reaches 98%.