Surveillance of Landmine Detection Drone

Landmines continue to pose a severe threat to human lives and hinder economic development in post-conflict regions. With over 110 million landmines buried across more than 60 countries, traditional detection methods remain slow, dangerous, and labor-intensive. Manual clearance, metal detectors, and ground-penetrating radar (GPR) often expose human deminers to significant risks and are limited in detecting non-metallic mines. The proposed land mine detection drone leverages advanced technologies such as thermal imaging and deep learning algorithms to detect and identify explosive devices with exceptional precision. The drone is equipped with thermal imaging, and AI-powered data analysis to efficiently locate and classify landmines. The solution integrates sensor fusion, machine learning, and real-time data processing to enhance accuracy and reduce false positives. By surveying large areas, it significantly accelerates the demining process while minimizing human exposure to hazardous environments. The implementation of this technology involves the use of high-resolution cameras, and AI-driven image recognition models to detect anomalies in the terrain. Cloud-based data analysis further enhances decision-making for demining teams. The drone's ability to operate in diverse terrains, including deserts, forests, and post-conflict urban areas, ensures its broad applicability. The innovative solution revolutionizes demining operations by improving efficiency, accuracy, and safety. By reclaiming contaminated land for agriculture, infrastructure, and habitation, it supports economic recovery and community rebuilding, ultimately contributing to peace and stability in war-affected regions.

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Publication Details

Published
2025-04-16
DOI
https://doi.org/10.1109/iccct63501.2025.11019372
Primary Topic
Forensic Fingerprint Detection Methods
Type
article
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article

Surveillance of Landmine Detection Drone

K. Moorthi, D Harsathabinav, B Srivardhan
Forensic Fingerprint Detection Methods
article

Surveillance of Landmine Detection Drone

K. Moorthi, D Harsathabinav, B Srivardhan
article en

Abstract

Landmines continue to pose a severe threat to human lives and hinder economic development in post-conflict regions. With over 110 million landmines buried across more than 60 countries, traditional detection methods remain slow, dangerous, and labor-intensive. Manual clearance, metal detectors, and ground-penetrating radar (GPR) often expose human deminers to significant risks and are limited in detecting non-metallic mines. The proposed land mine detection drone leverages advanced technologies such as thermal imaging and deep learning algorithms to detect and identify explosive devices with exceptional precision. The drone is equipped with thermal imaging, and AI-powered data analysis to efficiently locate and classify landmines. The solution integrates sensor fusion, machine learning, and real-time data processing to enhance accuracy and reduce false positives. By surveying large areas, it significantly accelerates the demining process while minimizing human exposure to hazardous environments. The implementation of this technology involves the use of high-resolution cameras, and AI-driven image recognition models to detect anomalies in the terrain. Cloud-based data analysis further enhances decision-making for demining teams. The drone's ability to operate in diverse terrains, including deserts, forests, and post-conflict urban areas, ensures its broad applicability. The innovative solution revolutionizes demining operations by improving efficiency, accuracy, and safety. By reclaiming contaminated land for agriculture, infrastructure, and habitation, it supports economic recovery and community rebuilding, ultimately contributing to peace and stability in war-affected regions.

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Openalex Percentile: Top 88%
Forensic Fingerprint Detection Methods
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Surveillance of Landmine Detection Drone — K. Moorthi, D Harsathabinav, et al. · (2025) | TGRS Research Map | TGRS