Paper Title :Indoor Location Tracking Using Iot and Deep Learning
Author :Justin Dhas Y, Saranya.S, Thansil Mohamed S, Trisha N
Article Citation :Justin Dhas Y ,Saranya.S ,Thansil Mohamed S ,Trisha N ,
(2024 ) " Indoor Location Tracking Using Iot and Deep Learning " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 36-41,
Volume-12,Issue-3
Abstract : In the rapidly evolving landscape of educational institutions, the efficient management of campus resources and
the safety of students and faculty have become paramount concerns. This review paper examines the "EduLocation," a
ground-breaking initiative that employs deep learning, the Internet of Things (IoT), and real-time data analytics to build an
intelligent and dynamic campus environment. This paper aims to provide a comprehensive overview of the latest advances in
indoor positioning, occupancy monitoring, and campus management systems, with a focus on the creative contributions of
the "EduLocation" project. This survey article classifies and examines numerous technologies, approaches, and trends in the
field through a careful examination of recent research and advances. The main points discussed are IoT-based user
interfaces, cloud infrastructure, facial recognition systems, occupancy monitoring methods, and indoor positioning
technology. This project is positioned in this paper's context of upcoming trends and difficulties in the industry in addition to
evaluating the benefits and drawbacks of current solutions.
Keywords - Indoor positioning, IoT based tracking, GPS, IndoorAtlas, Facial recognition, Deep learning, CNN, Facial
recognition, Real-time location information.
Type : Research paper
Published : Volume-12,Issue-3
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-20641
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Copyright: © Institute of Research and Journals
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Published on 2024-06-26 |
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