IoT Based Landmine Detection Robot-Reference-Cited by-同舟云学术

IoT Based Landmine Detection Robot

Published:2023-07-13 Issue:34 Volume: Page:43-49
ISSN:2394-8280
Container-title:June-July 2023
language:en
Short-container-title:IJRISE

Author:

Bansode Rahul¹,Shelke Vaishanvi,Shirke Rukmini,Pise Prof. A.C.

Affiliation:

1. UG students Electronics & Telecommunication, Sinhgad College of Engineering, Pandharpur, India.

Abstract

This abstract summarizes an IoT- based landmine detection robot. The proposed system integrates Internet of Things (IoT) technologies and robotic mechanisms for efficient detection of landmines in hazardous areas. The robot employs sensors and data processing algorithms to identify potential landmines, transmitting real-time information to a centralized server. Through this approach, the robot enhances safety by minimizing the risks associated with manual demining operations. The system's performance is evaluated through field tests, demonstrating its effectiveness in accurate and timely detection of landmines.

Publisher

HM Publishers

Reference40 articles.

1. Rasaq Bello, “Literature Review on Landmines and Detection Methods” Frontiers in Science.

2. Waqar Farooq,Nehal Butt, Sameed Shukat, Nouman Ali Baig,Sheikh Muhammad Ahmed, “Wirelessly Controlled Mine Detection Robot” 2016 International Conference on Intelligent Systems Engineering (ICISE)

3. Jebasingh Kirubakaran.S.J, Anish kumar jha, Dheeraj kumar, Sadambi Poorna chandram Prakash, “Mine Detecting Robot with Multi Sensors Controlled Using HC-12 Module” International Journal of Engineering & Technology

4. V. Abilash and J. Paul Chandra Kumar, “Arduino Controlled Landmine Detection Robot” 2017 Third International Conference On Science Technology Engineering and Management (ICONSTEM)

5. Mr. Rahul S. Pol, et al., " Realistic Optimal Path Planning Algorithm for Indoor Real-time Mobile Robot Navigation", International Journal of Web Engineeirng, ISSN: 1540-9589 (Print Version) ISSN: 1544-5976 (Online Version), vol 17 No. 6 (pp 3662-3688),

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