Face Recognition Attendance System Using OpenCV

The purpose of this paper is to explore the face recognition technology based on OpenCV and apply it to the attendance system of colleges and universities. The local binary mode L BP algorithm is used to process and extract features from the image, and the core idea is to compare the gray value of each pixel in the image with the surrounding pixels to generate a local binary mode. This method shortens the recognition time and improves the recognition accuracy, while the amount of training data required is relatively small, so as to enhance the generalization ability of the model. After the introduction of dynamic video face detection, the efficiency and quality of the overall teaching have been improved, and the teaching management has been made more automated and intelligent. The results show that the OpenCV face recognition attendance system based on LBP algorithm has practical application value and can bring convenience to the teaching management of colleges and universities.