Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025)

Wireless Vision: Human and Object Detection Through Obstacles

Authors
Rohit Kumar1, Rajiv Chaura1, Priyansi Priyansi1, G. Aloy Anuja Mary1, *, Rajalekshmi Kishore2
1Vel tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology, Chennai, India
2The National Institute of Engineering, Mysore, India
*Corresponding author. Email: draloyanujamary@veltech.edu.in
Corresponding Author
G. Aloy Anuja Mary
Available Online 30 June 2025.
DOI
10.2991/978-94-6463-754-0_43How to use a DOI?
Keywords
Signal Attenuation; Through-wall detection and Threat detection
Abstract

The rapid development of wireless detection of objects and person who behind walls has significant complications in safety, security and smart technology applications. In emergency scenarios like search and rescue operations where quickly identifying individuals behind the rubble or barriers which can show the differences between life and death. Through-wall detection which enhances threat detection which preserving privacy by offering a non-intrusive method of monitoring the activity of buildings. The Smart homes where technologies adjusting lighting and climate which can occupancy responsive and effective control of environmental systems with line of sight sensors. Despite problems like as signal attenuation and interference from diverse materials and devices, continuous advances in signal processing and sensor technology have improved the accuracy and dependability of these systems. This work gives a thorough investigation into the integration of microwave sensors with an Arduino for through-wall detection, describing the system architecture, signal processing approaches, experimental setup, and several applications. Our findings highlight the transformative power of these technologies in both practical and inventive contexts.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025)
Series
Atlantis Highlights in Engineering
Publication Date
30 June 2025
ISBN
978-94-6463-754-0
ISSN
2589-4943
DOI
10.2991/978-94-6463-754-0_43How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Rohit Kumar
AU  - Rajiv Chaura
AU  - Priyansi Priyansi
AU  - G. Aloy Anuja Mary
AU  - Rajalekshmi Kishore
PY  - 2025
DA  - 2025/06/30
TI  - Wireless Vision: Human and Object Detection Through Obstacles
BT  - Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025)
PB  - Atlantis Press
SP  - 489
EP  - 500
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-754-0_43
DO  - 10.2991/978-94-6463-754-0_43
ID  - Kumar2025
ER  -