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IoT Based Landmine Detection Robot With GPS System

Vrushali D. Pawar, Priyanka B. Patkare, Pooja A. Naik, Nikita B. Patil, Rohan A. Chaugule


Now a day in places like Afghanistan and Iraq we know that land mines are causing serious threat to the lives of civilians. A land mine is an explosive device that designed to destroy or disable enemy and hided under or on the surface of ground, especially in mine-affected countries like Afghanistan and Iraq. Most land mines are laid on just below the surface of ground and are activated by pressure or trip-wire. Usually most of the land mines will contain many metallic parts, which can be made use of in their detection. The mines which are embedded amid the war time may stay undetected. As the name suggests detection is done using Metal Detector and hence can be done further away from the mine carefully. Mine detection robot will go from this path where solders passing the roads in mine areas. This is the method in which special purpose of robot are use to find landmines without setting foot into the ground offering safe and efficient way of landmine detection. There are some methods for detection of land mines, such radar bullets, Biological method and mechanical method. These methods are dangerous and risk is involved to life of solider. A safe method for detecting land mines is “Landmine detection robot”, where we are dealing with IoT as well as GPS technique.


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D,Flahaut, T. Mihara and R. Funahashi, N. Nabeshima, K.Lee, H. Ohta and K. Koumoto, JOURNAL PHYSICS 100,0=184911 (2006)

Sharan Kumar, Dr.Jayadevappa, Radhika R. Naik “Implementation of Image Edge Detection Using FPGA” in International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS) ISSN 2278 – 2540 Volume III, Issue IV, April 2014. pp: (69-72).

Pérez-Lombard, L.; Ortiz, J.; Pout, C. “A review on buildings energy consumption information”. Open Journal of Energy Efficiency, Vol.5 No.1, March 22, 2016

Sharankumar, D.Jayadevappa, Mamata V Shetty “A Novel approach for Segmentation and Classification of brain MR Images using Cluster Deformable Based Fusion Approach” in Periodicals of Engineering and Natural Sciences, Volume 6, Issue no: 2 PP: 237-242 (2018)

Lee. Jung-Wook,Yoo.Yoon-Bong, Rho. Jae-Jeung, Choi. Sae-Sol, “An enhanced parking lot service model using wireless sensor network”, Proceedings - IEEE INDIN 2008: 6th IEEE International Conference on Industrial Informatics, pp. 349-354, July 2008.


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