INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Generally speaking, Wi-Fi signals act as information
conduits between a transmitter and a receiver. In this essay, we
demonstrate how Wi-Fi may also broaden our sensory perception,
allowing us to perceive moving objects behind open doors and
across walls. Particularly, we can count the number of individuals
in an open room and their locations by using comparable signals.
Additionally, without carrying any transmitting equipment, we
are able to recognise uncomplicated movements made behind a
wall and integrate them into a sequence to relay dispatches to
a wireless receiver. Two major inventions are presented in this
article. The proposed method takes benefit of the fact that “Wi-Fi
signals” can penetrate most materials, including walls, and can be
reflected by objects and surfaces behind them. By analyzing the
variations in the “Wi-Fi signal” patterns caused by the objects
behind the wall, it is possible to create a 3D representation of
the objects and their locations.
The paper describes the experimental setup used to test the
proposed method and the results obtained. The experiments
involved using tainted-the-shelf “Wi-Fi” equipment and custom
software to capture and process the Wi-Fi signals. The outcomes
demonstration that the planned technique can accurately detect
and locate objects behind walls, including human subjects.
The potential applications of this technology are numerous,
ranging from search and rescue operations to home security
and surveillance. However, the paper also discusses the ethical
and privacy concerns associated with using Wi-Fi signals to see
through walls and emphasizes the need for responsible use of
this technology. Overall, the research presented in this paper
represents a significant step towards the development of practical
and ethical Wi-Fi-based through-wall imaging systems
Keywords:
Wi-Fi, wall penetration, machine learning, wire- less technology, signal analysis, radio waves, remote sensing, environmental monitoring.
Cite Article:
"Unveiling the Invisible: Wi-Fi-Enabled Wall Penetration through Machine Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 10, page no.c283-c288, October-2023, Available :http://www.ijnrd.org/papers/IJNRD2310232.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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