Estimating the Number of Cameras Required for a Given Classroom for Face-based Smart Attendance System

Abstract

Manual attendance systems are time consuming, thus, there is a growing interest in automatic attendance systems. In particular, there has been growing interest in face-based automatic attendance systems recently. However, to our knowledge, one important aspect of face automatic attendance using face has not been addressed. Thus, in this paper, a methodology to estimate the number of cameras with a given resolution required to enable capturing all students' faces in a given classroom with sufficient details to enable automatic attendance using face in a typical classroom environment is presented. The methodology was tested using two types of camera's resolution in two classrooms with different sizes. It was found that the proposed methodology can be used to estimate the number of cameras with a given resolution required to provide coverage of all students' faces with sufficient details that enables faces of students looking at the camera to be detected.