Open Access Open Access  Restricted Access Subscription Access

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

Dr Prabhakar T S, Kushala M Gowda, Shreyas D Gowda, Sookshma P, Mounashree M

Abstract


Growing challenges in counter-terrorism operations require sophisticated technologies that improve surveil- lance 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.


Full Text:

PDF

References


A. Kumar et al., “A Comprehensive Overview of Behind-Wall Scanning Techniques,” Applied Sciences, MDPI, vol. 12, no. 9, pp. 4720, 2022. [Online]. Available: https://doi.org/10.3390/app12094720

P. Zhang et al., “Advances in Radar Technology for Object Detection,” Sensors, MDPI, vol. 23, no. 14, pp. 6280, 2023. [Online]. Available: https://doi.org/10.3390/s23146280

J. Sachs et al., “UWB Radar-Based Through-the-Wall Detection of Stationary and Moving Targets,” IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 6, pp. 4821–4833, 2021. [Online]. Available: https://doi.org/10.1109/TGRS.2021.3067157

R. Singh et al., “Technologies for Urban Warfare and Anti-Terrorism Surveillance,” Procedia Computer Science, Elsevier, vol. 171, pp. 1810–1819, 2020. [Online]. Available: https://doi.org/10.1016/j.procs.2020.04.194

A. Abdelhafiz et al., “Inductive Sensor Applications in Landmine Detection,” Journal of Sensors, Hindawi, vol. 2021, Article ID 3387491, 2021. [Online]. Available: https://doi.org/10.1155/2021/3387491

B. Lee et al., “Taser Module Use in Robotics for Security Applications,” International Journal of Robotics and Automation, Acta Press, vol. 37, no. 2, pp. 87–95, 2022. [Online]. Available: https://doi.org/10.2316/JRA.2022.51178

J. Yousaf, S. Yakoub, S. Karkanawi, and T. Hassan, “Through-the-Wall Human Activity Recognition Using Radar Technologies: A Review,” IEEE Open Journal of Antennas and Propagation, vol. 2, pp. 100–121, 2024

M. T. Buyukakkaslar et al., “A Review on Radar-Based Human Detection Techniques,” Sensors, MDPI, vol. 24, no. 17, pp. 5709, 2024. [Online]. Available: https://doi.org/10.3390/s24175709

W. Wang et al., “TWP-CNN: Human Detection in Realistic Through-the-Wall Radar Data,” arXiv preprint arXiv:2403.15468, 2024. [Online]. Available: https://arxiv.org/abs/2403.15468

A. P. Singh, “A Shape-Based Approach for Recognition of Hidden Objects Using Microwave Radar Imaging System,” Progress in Electromagnetics Research C, vol. 127, pp. 103–118, 2023. [Online]. Available: https://doi.org/10.2528/PIERC23041402


Refbacks

  • There are currently no refbacks.