Class Room Ambience Measurement using Ai Technique
M. Narayana Moorthi
Prof. M. Narayana Moorthi, Associate Professor, School of Computing Science and Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India
Manuscript received on 30 July 2022 | Revised Manuscript received on 05 August 2022 | Manuscript Accepted on 15 August 2022 | Manuscript published on 30 August 2022 | PP: 150-153 | Volume-11 Issue-6, August 2022 | Retrieval Number: 100.1/ijeat.F37680811622 | DOI: 10.35940/ijeat.F3768.0811622
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The word SMART is popular in everyday activities which is meant for city, road, vehicles and home through the integration of IOT (Internet of Things) and ICT (Information and Communication Technology). It is possible by using the above, our everyday activities can be monitored and recorded using advanced devices in our work environment. It is suggested to have such tools in the education institutes to have better classroom and lab infrastructure for teaching and learning environments. Now a day’s many technologies exist and our aim is to integrate all the existing and new technologies to develop an embedded system application to make the classroom to be more smart and automated. In this context we will study how to design and develop the class room ambience measurement using AI technique. The machine is so smart by identifying the empty chairs and calling individual persons and occupy the place near to others so that the fan, light usage can me minimum which is possible through intelligent device and its prototype model is proposed here.
Keywords: Smart Class Room, Embedded Systems, Automation, Microcontrollers, Sensors
Scope of the Article: Artificial Intelligence