Abstract
In the 21st century, with the improvement of scientific and technological level and people's quality of life, more and more people pay more attention to education, culture and other aspects. The sign in system is one of the technical means that can manage and record students' information through computer, and provide decision support function for schools. This paper designs a set of automatic student signing mechanism based on neural network algorithm, introduces the development of neural network technology, studies its application in sign in system, and analyzes and compares it. Finally, the student sign in management system is tested. The test results show that the system performs very well in automatic sign in management. The sign in rate basically reaches more than 90%, and the degree of automation is very high. It provides a good information feedback platform for the direct communication between students and teachers and managers.
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