Drone Component for Radio Frequency Detection

Péter Miksa Hell and Péter János Varga ()
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Péter Miksa Hell: Óbuda University, Doctoral School on Safety and Security Sciences, Budapest, Hungary
Péter János Varga: Óbuda University, Doctoral School on Safety and Security Sciences, Budapest, Hungary

Interdisciplinary Description of Complex Systems - scientific journal, 2022, vol. 20, issue 3, 230-238

Abstract: Recovering people who have lost their way during a hike or disappeared during a disaster is a significant task for disaster management agencies. Nowadays, there are numerous technological devices at our disposal in such cases. Night-vision devices, thermal imagers, and drones are among such technologies. Time is a critical factor in a disaster situation, so by deploying drones, a greater area can be inspected in a given time. These types of general-purpose aircraft are primarily equipped with visual reconnaissance components, such as high-resolution or infrared cameras. The disadvantage of these devices is that they only work effectively in open terrains with adequate visibility conditions. If the missing person is in a dense forest or in a covered space, the chances of recovery decrease significantly. Our development is a radio-frequency detector drone component, which can find the mobile device of the person in trouble, and therefore eliminates the prerequisite for adequate visual conditions. This enables greater efficiency in the case of recovery efforts.

Keywords: drone; communication; disaster; radio; detection; component (search for similar items in EconPapers)
JEL-codes: L63 L92 (search for similar items in EconPapers)
Date: 2022
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