Unveiling the Invisible: Wi-Fi-Enabled Wall Penetration through Machine Learning

Registration ID: IJNRD_207218

Published ID: IJNRD2310232

: Click Here to Get

Navjot Singh, Abhilash Gaurav

Wi-Fi, wall penetration, machine learning, wire- less technology, signal analysis, radio waves, remote sensing, environmental monitoring.

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

Published Paper   E-Certificate

Navjot Singh & Abhilash Gaurav (October-2023). Unveiling the Invisible: Wi-Fi-Enabled Wall Penetration through Machine Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(10), c283-c288. https://ijnrd.org/papers/IJNRD2310232.pdf

Volume 8 Issue 10, October-2023

Pages : c283-c288

Paper Reg. ID: IJNRD_207218

Published Paper Id: IJNRD2310232

Downloads: 000121999

Research Area: Engineering

Author Type: Indian Author

Country: Ludhiana, Punjab, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2310232.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2310232

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

UGC CARE JOURNAL PUBLICATION | 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

Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG

© 2025 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License. and The Open Definition.

You are free to share, adapt, and redistribute the material, provided proper credit is given to the original author. 🛡️ Disclaimer: The content, data, and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses, or consequences arising from its use.

Call For Paper - Volume 10 | Issue 12 | December 2025

IJNRD is a Scholarly Open Access, Peer-Reviewed, Refereed, and UGC CARE Journal Publication with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost, and Transparent Peer Review Journal Publication that adheres to the UGC CARE 2025 Peer-Reviewed Journal Policy and aligns with Scopus Journal Publication standards to ensure the highest level of research quality and credibility.

IJNRD offers comprehensive Journal Publication Services including indexing in all major databases and metadata repositories, Digital Object Identifier (Crossref DOI) assignment for each published article with additional fees, citation generation tools, and full Open Access visibility to enhance global research reach and citation impact.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse academic and professional fields. The journal promotes global knowledge exchange among researchers, developers, academicians, engineers, and practitioners, serving as a trusted platform for innovative, peer-reviewed journal publication and scientific collaboration.

Indexing Coverage: Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many other recognized academic repositories.

How to submit the paper?

By Our website

Click Here to Submit Paper Online

By Mail

Send your paper to editor@ijnrd.org

You can now publish your research in IJNRD. IJNRD is a Transparent Peer-Reviewed Open Access Journal Publication (Refereed Journal), aligning with New UGC and UGC CARE recommendations.

For more details, refer to the official notice: UGC Public Notice

Submit Paper Online

Important Dates for Current issue

Paper Submission Open For: December 2025

Current Issue: Volume 10 | Issue 12 | December 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Dec-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

Call for Paper: More Details

Approval, Licenses and Indexing: More Details