Classroom Roll Call System Based on Face Detection Technology

Abstract

The students in universities are relatively free and have a rich after-school life in this time, so the absenteeism rate is getting higher and higher, which brings new challenges and opportunities to college classroom teaching. How to use the latest artificial intelligence technology, talk about the application of face detection technology to the classroom, you can quickly and accurately count the attendance status of each student. This article first analyzes the advantages and disadvantages of the new naming methods in university classrooms, and then designs and implements a classroom naming system based on face detection technology. Face detection technology is based on the latest deep learning algorithm Faster-R-CNN, which can quickly and accurately detect face targets. Besides, the system also needs simple Internet of Things technology, which uses a camera as a sensor to transfer real-time photos of the classroom to the system. This system aims to reduce the time taken for roll call, increase university classroom attendance, and improve university classroom teaching effects. The practice has shown that this roll call system increases the university classroom attendance rate by 15.3%, the accuracy rate is comparable to other best roll call systems, and the time spent is reduced by more than 10 times.