Sentinels of Safety: A Robotic Revolution in Autonomous Landmine Detection for Humanitarian Resilience

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Year : August 16, 2024 at 3:11 pm | [if 1553 equals=””] Volume :13 [else] Volume :13[/if 1553] | [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] : 02 | Page : 28-34

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Pratik Dhumal, M. G. Pallewar, Sudarshan Jadhav, Shashank Warad,

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  1. Student,, Student,, Student,, Student, SKN College of Engineering (affiliated to Savitribai Phule Pune University), Pune,, SKN College of Engineering (affiliated to Savitribai Phule Pune University), Pune,, SKN College of Engineering (affiliated to Savitribai Phule Pune University), Pune,, SKN College of Engineering (affiliated to Savitribai Phule Pune University), Pune, Maharashtra,, Maharashtra,, Maharashtra,, Maharashtra, India, India, India, India
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Abstract

nLandmine Detection Robotic Vehicle Project is to create an autonomous robotic system that can identify landmines in dangerous locations. The rover navigates through a variety of terrains by using modern sensor technology, such as metal detectors and infrared photography, to detect buried landmines. The rover can distinguish between potentially dangerous items and harmless ones. The principal aim of the project is to optimise the efficacy and security of landmine removal operations, thereby reducing human risks and increasing the worldwide efforts to completely remove landmines. By integrating advanced algorithms for sensor fusion and data analysis, the autonomous vehicle can identify and analyse suspected landmine targets in real time. In order to minimize false positives and ensure the best possible detection accuracy, machine learning approaches are utilized to improve the system’s capacity to distinguish between harmless items as well as potential threats. Additionally, the vehicle has a remote monitoring and control interface that allows its operators observe activities from a safe position while still having complete control over the vehicle’s actions and sensor functions. This remote capability allows for the effective deployment of resources in difficult environments while also improving the safety of people engaged in landmine detecting operations. After undergoing extensive evaluation and testing in both simulated and real-world environments, the proposed robotic vehicle exhibits positive result for safety, efficiency, and accuracy of detection. This project is to support global efforts to reduce the humanitarian impact and improve the removal of impacted regions for safe human habitation and development by utilizing the power of robots and cutting-edge sensor technology.

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Keywords: Robot, landmine, rover, security, landmine detection rover, sensor technology, environment, remote region

n[if 424 equals=”Regular Issue”][This article belongs to Research & Reviews : Journal of Space Science & Technology(rrjosst)]

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[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in Research & Reviews : Journal of Space Science & Technology(rrjosst)][/if 424][if 424 equals=”Conference”]This article belongs to Conference [/if 424]

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How to cite this article: Pratik Dhumal, M. G. Pallewar, Sudarshan Jadhav, Shashank Warad. Sentinels of Safety: A Robotic Revolution in Autonomous Landmine Detection for Humanitarian Resilience. Research & Reviews : Journal of Space Science & Technology. August 16, 2024; 13(02):28-34.

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How to cite this URL: Pratik Dhumal, M. G. Pallewar, Sudarshan Jadhav, Shashank Warad. Sentinels of Safety: A Robotic Revolution in Autonomous Landmine Detection for Humanitarian Resilience. Research & Reviews : Journal of Space Science & Technology. August 16, 2024; 13(02):28-34. Available from: https://journals.stmjournals.com/rrjosst/article=August 16, 2024/view=0

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References

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[if 424 not_equal=””]Regular Issue[else]Published[/if 424] Subscription Review Article

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Volume 13
[if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 02
Received July 19, 2024
Accepted July 30, 2024
Published August 16, 2024

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