Automatic System for Detecting Student Attendance in College Classroom Based on Template Matching Method and Cellphone Storage Hanging Pocket

Abstract

Because teachers in colleges and universities generally do not know the number of students in their classes, they spend considerable time monitoring student attendance, reducing the teaching time. In this study, we investigated a new method for effectively monitoring the attendance of students in classes of colleges and universities. When students enter a classroom at our campus, they must store their cellphones in a pouch containing multiple pockets that is hung from a wall of the classroom. These cellphone storage hanging pockets (abbreviated to cellphone pockets) have become a necessary tool for students to store cellphones and not only improve the efficiency of studying in the classroom, but are also convenient for teachers to check student attendance at the start of classes. We investigated a template matching method for efficiently finding the attendance of students using cellphone pockets. We used images of cellphone pockets as the input images for template matching to find the grids of the cellphone pockets with no cellphones. This enabled teachers to use the serial numbers of the cellphone pocket grids with no cellphones to identify the absent students.

Research and Evaluation on an Optical Automatic Detection System for the Defects of the Manufactured Paper Cups

“…Binarization, also called gray-level binary differentiation or threshold value, is the technology applied to distinguish the difference between the target and the background in an image and is often used as image segmentation [ 11 ] or is applied to convert a grayscale image into a black-and-white image [ 12 ]. In other words, there are only two brightness values (gray levels): white (which can be defined as 255) and black (which is 0) for binarization.…”