Behind-Wall Surveillance and Threat Neutralization Robot Using Microwave Sensors and Embedded IoT

Growing challenges in counter-terrorism operations require sophisticated technologies that improve surveillance and threat detection. The “Behind Wall Scanner Using Microwave for Terrorist Hideout Detection” project introduces a multi-purpose behind-wall surveillance and threat-neutralization robot with microwave-based human detection, landmine detection, and anti-theft protection. The main goal is to improve counter-terrorism activities through detection of hidden human activity and buried threats while maintaining operational safety. Experimental tests prove human detection accuracy of 96% via non-metallic obstructions up to 5 meters, landmine detection accuracy of 94%, and anti-theft response dependability of 98%. These results confirm the practical applicability of the system and emphasize its originality relative to traditional fixed-point and single-purpose surveillance devices.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-26
DOI
https://doi.org/10.5281/zenodo.17719927
Primary Topic
Gait Recognition and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Behind-Wall Surveillance and Threat Neutralization Robot Using Microwave Sensors and Embedded IoT

Zenodo (CERN European Organization for Nuclear Research)
Gait Recognition and Analysis
article

Behind-Wall Surveillance and Threat Neutralization Robot Using Microwave Sensors and Embedded IoT

article en

Abstract

Growing challenges in counter-terrorism operations require sophisticated technologies that improve surveillance and threat detection. The “Behind Wall Scanner Using Microwave for Terrorist Hideout Detection” project introduces a multi-purpose behind-wall surveillance and threat-neutralization robot with microwave-based human detection, landmine detection, and anti-theft protection. The main goal is to improve counter-terrorism activities through detection of hidden human activity and buried threats while maintaining operational safety. Experimental tests prove human detection accuracy of 96% via non-metallic obstructions up to 5 meters, landmine detection accuracy of 94%, and anti-theft response dependability of 98%. These results confirm the practical applicability of the system and emphasize its originality relative to traditional fixed-point and single-purpose surveillance devices.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 49%
Gait Recognition and Analysis
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