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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8587886 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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