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Secured Perimeter with Electromagnetic Detection and Tracking with Drone Embedded and Static Cameras

Perimeter detection systems detect intruders penetrating protected areas, but modern solutions require the combination of smart detectors, information networks and controlling software to reduce false alarms and extend detection range. The current solutions available to secure a perimeter (infrared...

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Detalles Bibliográficos
Autores principales: Teixidó, Pedro, Gómez-Galán, Juan Antonio, Caballero, Rafael, Pérez-Grau, Francisco J., Hinojo-Montero, José M., Muñoz-Chavero, Fernando, Aponte, Juan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587886/
https://www.ncbi.nlm.nih.gov/pubmed/34770685
http://dx.doi.org/10.3390/s21217379
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author Teixidó, Pedro
Gómez-Galán, Juan Antonio
Caballero, Rafael
Pérez-Grau, Francisco J.
Hinojo-Montero, José M.
Muñoz-Chavero, Fernando
Aponte, Juan
author_facet Teixidó, Pedro
Gómez-Galán, Juan Antonio
Caballero, Rafael
Pérez-Grau, Francisco J.
Hinojo-Montero, José M.
Muñoz-Chavero, Fernando
Aponte, Juan
author_sort Teixidó, Pedro
collection PubMed
description Perimeter detection systems detect intruders penetrating protected areas, but modern solutions require the combination of smart detectors, information networks and controlling software to reduce false alarms and extend detection range. The current solutions available to secure a perimeter (infrared and motion sensors, fiber optics, cameras, radar, among others) have several problems, such as sensitivity to weather conditions or the high failure alarm rate that forces the need for human supervision. The system exposed in this paper overcomes these problems by combining a perimeter security system based on CEMF (control of electromagnetic fields) sensing technology, a set of video cameras that remain powered off except when an event has been detected. An autonomous drone is also informed where the event has been initially detected. Then, it flies through computer vision to follow the intruder for as long as they remain within the perimeter. This paper covers a detailed view of how all three components cooperate in harmony to protect a perimeter effectively, without having to worry about false alarms, blinding due to weather conditions, clearance areas, or privacy issues. The system also provides extra information of where the intruder is or has been, at all times, no matter whether they have become mixed up with more people or not during the attack.
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spelling pubmed-85878862021-11-13 Secured Perimeter with Electromagnetic Detection and Tracking with Drone Embedded and Static Cameras Teixidó, Pedro Gómez-Galán, Juan Antonio Caballero, Rafael Pérez-Grau, Francisco J. Hinojo-Montero, José M. Muñoz-Chavero, Fernando Aponte, Juan Sensors (Basel) Article Perimeter detection systems detect intruders penetrating protected areas, but modern solutions require the combination of smart detectors, information networks and controlling software to reduce false alarms and extend detection range. The current solutions available to secure a perimeter (infrared and motion sensors, fiber optics, cameras, radar, among others) have several problems, such as sensitivity to weather conditions or the high failure alarm rate that forces the need for human supervision. The system exposed in this paper overcomes these problems by combining a perimeter security system based on CEMF (control of electromagnetic fields) sensing technology, a set of video cameras that remain powered off except when an event has been detected. An autonomous drone is also informed where the event has been initially detected. Then, it flies through computer vision to follow the intruder for as long as they remain within the perimeter. This paper covers a detailed view of how all three components cooperate in harmony to protect a perimeter effectively, without having to worry about false alarms, blinding due to weather conditions, clearance areas, or privacy issues. The system also provides extra information of where the intruder is or has been, at all times, no matter whether they have become mixed up with more people or not during the attack. MDPI 2021-11-06 /pmc/articles/PMC8587886/ /pubmed/34770685 http://dx.doi.org/10.3390/s21217379 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Teixidó, Pedro
Gómez-Galán, Juan Antonio
Caballero, Rafael
Pérez-Grau, Francisco J.
Hinojo-Montero, José M.
Muñoz-Chavero, Fernando
Aponte, Juan
Secured Perimeter with Electromagnetic Detection and Tracking with Drone Embedded and Static Cameras
title Secured Perimeter with Electromagnetic Detection and Tracking with Drone Embedded and Static Cameras
title_full Secured Perimeter with Electromagnetic Detection and Tracking with Drone Embedded and Static Cameras
title_fullStr Secured Perimeter with Electromagnetic Detection and Tracking with Drone Embedded and Static Cameras
title_full_unstemmed Secured Perimeter with Electromagnetic Detection and Tracking with Drone Embedded and Static Cameras
title_short Secured Perimeter with Electromagnetic Detection and Tracking with Drone Embedded and Static Cameras
title_sort secured perimeter with electromagnetic detection and tracking with drone embedded and static cameras
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587886/
https://www.ncbi.nlm.nih.gov/pubmed/34770685
http://dx.doi.org/10.3390/s21217379
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