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Smart Attendance and Attention Measuring System for Classroom

Ranjan Nath, Rahul Gupta, Rahul Tavnoji, Saurabh Daundkar, Bhagyashree Dhakulkar

Abstract


As technology advances, it makes life easy and straightforward by solving many of the real-life problems which are faced by people in their daily life. This also applies to the education system, which has made drastic improvements because of the use of new and advanced technology. But despite the advancement in technology, there are a large number of institutes that follow the traditional approach in marking the attendance as well as monitoring the classroom. Using a conventional method can cause intentional or unintentional mistakes and also wastage of the valuable time that can be utilized in the practice of teaching. Recent studies show that the behavior of the students in the classroom affects their results tremendously. Using the interaction between students and teachers in the ongoing lecture, student's attention and the understanding level can be estimated. Better interaction in the class results in an improvement in the performance of the student in academics. The main goal of this paper is to present a computer vision system that can help in monitoring the classroom and marking the attendance autonomously. 


Keywords


Attendance, Attentiveness, Face Detection, Face Recognition.

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References


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