Monitor Student’s Presence in Classroom

Abstract

The real time face detection and recognition is now a days a subject of interest in various daily applications like crowd identification, video conference, security measure, image analysis etc. This topic has brought attention of researchers because the human face is a dynamic object and has a high degree of variability in their appearances, which make face detection a difficult problem in computer vision. Many technique are being proposed, ranging from simple edge based algorithm to composite high level approaches utilizing advanced pattern recognition methods. The algorithms presented in this paper are Viola-Jones algorithm (Haar Cascade Classifier) and PCA (classified as either feature based and image based) and are discussed in terms of technical approach and performance. The objective of this paper is to find out a way to monitor student’s presence in classroom using EmguCV (Computer vision Library and wrapper class of Open CV) and send important notification to parents to keep track of their child from remote location. This technology used to monitor their children and by this way teachers are trying to guard children’s behaviors in order to reduce teachers’ difficulties of classroom management, instead of helping children to learn effectively.