Investigation on enabling Intelligence through Deep Learning and Computer Vision-based Internet of Things (IoT) systems in a Classroom Environment

Jyothi, M. Lakshaga and Shanmugasundaram, R. S. (2020) Investigation on enabling Intelligence through Deep Learning and Computer Vision-based Internet of Things (IoT) systems in a Classroom Environment. BIOSCIENCE BIOTECHNOLOGY RESEARCH COMMUNICATIONS, 13.0 (6). pp. 71-82. ISSN 0974-6455

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Abstract

Some of the recent researches in Higher Education is making its way to figure out how things can be done more efficiently and smartly. They are making their foot-mark in adopting new technologies inside the college educational settings, while it's yet in the development stage. Some of the technological advancements have already been adopted and made compulsory for the proper functioning of the educational system. Besides, maintaining a stable functioning in the college community, to cope up with the increased demand for new technological adaptation in the Higher Educational society, technological terminologies and the recent trends such as the Internet of Things (IoT) and Artificial Intelligence (AI) is considered to reach the goal and seems to be the possible solution. Classroom Assets or knowledge on the historical patterns in the classroom data which prevails in a traditional classroom can be collected via an IoT system that uses sensors to generate a huge volume of data and that assets could be used to make decisions on the interpretations to satisfy our needs. According to a report, the total number of IoT devices worldwide will be approximately 75 billion worldwide. But then the transformation from the theoretical conceptualization to the implementation is yet in its budding stage. Deep Learning as a whole is a subset of AI and Machine Learning, which will help the educational sector to make better decisions at the right time. Deep Learning along with Computer Vision is another trend set to possibly apply AI in every use case specifically for monitoring and investigating and analytic systems. Hence, to fill the gap between the two ends, Higher Educational Classrooms and the Technological Growth, we have made an investigation to figure out the possible applications of IoT and Deep Learning in the Classroom environment. An amalgam of Computer Vision (CV), IoT, and Deep Learning in the Educational Classrooms can promisingly give rise to smart, intelligent classrooms thus improving the staff and the student experiences by positively uplifting the educational perceptions.

Item Type: Article
Uncontrolled Keywords: INTERNET OF THINGS, IOT APPLICATIONS, COMPUTER VISION, DEEP LEARNING, ARTIFICIAL INTELLIGENCE, HIGHER EDUCATION, EMBEDDED NEURAL NETWORKS
Depositing User: Unnamed user with email techsupport@mosys.org
Last Modified: 06 Feb 2026 06:49
URI: https://ir.vmrfdu.edu.in/id/eprint/5778

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