Study on Student Attendance System Based on Face Recognition

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Abstract

Student attendance is not only an important indicator for the school to inspect students' achievements, but also an objective evaluation of teachers' teaching quality. In the system, we use PyCharm as the development platform, design the system interface through QT Designer (QT5), use PyQt5 library to write the function of interface controls, use MySQL as the database, and use OpenCV face recognition algorithm to recognize, thus realizing an attendance system based on face recognition. The system is divided into two parts: attendance and face recognition. Through the test, the number and quality of members can be monitored in real-time. The traditional attendance method of manual statistical management is abandoned, and the method in this paper provides a scientific basis for the implementation of the campus attendance system.

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APA

Chen, X. (2023). Study on Student Attendance System Based on Face Recognition. In Journal of Physics: Conference Series (Vol. 2492). Institute of Physics. https://doi.org/10.1088/1742-6596/2492/1/012015

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