Computer Vision-Based Intelligent Classroom Systems for Efficient Power Management in Large Educational Institutions
Date
2023-05-30
Journal Title
Journal ISSN
Volume Title
Publisher
Department of Electrical and Elecrtonics Engineering(EEE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh
Abstract
The increasing demand for electricity coupled with depleting resources necessitates
urgent action to reduce wastage and address the pressing need for efficient energy
utilization. In large educational institutions a huge amount of energy is being wasted
as the electrical appliances of a classroom are often switched on even though there
are no occupants in the room. This thesis explores the development of an intelligent
classroom system to enhance energy efficiency and reduce electric bills in traditional
classroom settings. By leveraging automation and Internet of Things (IoT)
technologies, the research aims to optimize energy consumption by tracking real time occupancy and controlling lighting and fans accordingly. Various occupant
detection models, including the MOG2 algorithm, OpenCV, and YOLOv3, are
compared to identify the most effective approach for accurately detecting human
occupants. The study presents a comprehensive methodology that includes the
design of a hardware setup using Raspberry Pi, Pi cameras, and other components
for occupant detection and appliance control. The key finding underscores the
superior performance of YOLOv3 in accurately identifying human occupants while
minimizing false detections. The proposed intelligent classroom system offers a
user-friendly and customizable solution, enabling efficient energy management and
cost reduction. This research contributes to the advancement of smart classroom
technologies, promoting sustainability and improved resource utilization in
educational institutions.
Description
Supervised by
Prof. Dr. Khondokar Habibul Kabir,
Department of Electrical and Electronics Engineering (EEE)
Islamic University of Technology (IUT)
Board Bazar, Gazipur-1704, Bangladesh
Keywords
Citation
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