Multi Terrain Surveillance Drone
Rohit N Nair1, Prasanth P Menon2, Roy Baiju3, Sreelakshmi L S4, V Kavyalakshmi5
1Rohit N Nair, Department of ECE, ASIET, Matoor, Kalady, Ernakulam (Kerala), India.
2Roy Baiju, Department of ECE, ASIET, Matoor, Kalady, Ernakulam (Kerala), India.
3Sreelakshmi L S, Department of ECE, ASIET, Matoor, Kalady, Ernakulam (Kerala), India.
4V Kavyalakshmi, Department of ECE, ASIET, Matoor, Kalady, Ernakulam (Kerala), India.
5Prasanth P Menon, Assistant Professor, Department of ECE, ASIET, Matoor, Kalady, Ernakulam (Kerala), India.
Manuscript received on 01 June 2020 | Revised Manuscript received on 10 June 2020 | Manuscript Published on 17 June 2020 | PP: 8-11 | Volume-9 Issue-4s May 2020 | Retrieval Number: A10020594S20/20©BEIESP | DOI: 10.35940/ijeat.A1002.0594S20
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The purpose of this research paper is to design a drone which can move autonomously in a fixed predetermined route or by using radio waves through any environment. Various drones are available nowadays which differ in size, color and properties. Unmanned aerial vehicles have gained wide popularity over decades and are used extensively for several applications. The main feature of this drone is that it does not require any additional infrastructure to quickly register and monitor the object. The major motive is to get accuracy in rescue missions for accidents occurring at higher terrain as well as underwater. The main uniqueness is that it can move through air and water. An efficient algorithm is incorporated to reduce the complexity. The drone’s database is developed using artificial intelligence which helps in faster recognition of the object.
Keywords: Drone, Environment, AI, Algorithm.
Scope of the Article: Multi-Agent Systems