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International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
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← Back to VOLUME 10, ISSUE 5, MAY 2023

An Adaptive Approach to Real-Time Classroom Attendance System Using Deep Learning

Preksha Rai B, Rithvik M T, Sahana Edigar H P, Pooja C, Rajath A N

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Abstract: The Oxford Dictionary defines a face as the part of a person's head from the forehead to the chin or the corresponding part of an animal. In human interactions, the face is the most significant factor because it contains important information about an individual. All humans will acknowledge people from their faces. The proposed solution is to develop an operating prototype of a system that may facilitate class attendance management for the lecturers within the lecture rooms by detecting the faces of scholars from an image taken in a classroom.

Keywords: Deep Learning, face detection, preprocessing, tktools, numpy, matplotlib.

How to Cite:

[1] Preksha Rai B, Rithvik M T, Sahana Edigar H P, Pooja C, Rajath A N, “An Adaptive Approach to Real-Time Classroom Attendance System Using Deep Learning,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2023.10527

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