Student Attendance Control System with Face Recognition Based on Neural Network
Anastasiya Yu. Strueva, Eleva V. Ivanova · 2021 International Russian Automation Conference (RusAutoCon) · 2021
In this research we implement a system to monitor student attendance at South Ural State University. Our system is based on the automatic recognition of students' faces using neural networks. In this paper, we investigate the process, methods and algorithms of face recognition to build a student attendance control system that allows to easily add a new person to the system without additional training of neural networks within the system. In working, we identified and studied the parameters that reduce the efficiency of the recognition, as well as equipping our system with algorithms that reduce the negative impact of these parameters. We conducted experiments that prove the effectiveness of our solution.