Face Tracking Sign-in System Based on LBP Feature Algorithm
Huangze Ai, Huiwen Xia, Weixin Chen, Bokang Yang · 2020
A face tracking sign-in system based on LBP algorithm was designed. The system is integrated by OPENMV module, steering engine, HMI and wireless communication module, etc. These modules cooperate with each other to construct a face tracking sign-in system based on LBP feature algorithm. Haar-cascade detection algorithm is adopted to detect face images; LBP feature algorithm is used to extract face features; SVM support vector machine is used to classify the extracted feature vectors. The HMI serial screen is adopted for human-computer interaction, and the sign-in result is fed back to the mobile phone app through the wireless communication module. The main advantage of the system is that the system can intelligently find and track the position of the face through the two-axis gimbal combined with the image data. Improve the efficiency of face recognition and optimize the characteristics of human-computer interaction. The system is easy to implement, and has the advantages of high recognition rate and efficiency.