Secured Perimeter with Electromagnetic Detection and Tracking with Drone Embedded and Static Cameras
Gómez Galán, Juan Antonio
Pérez Grau, Francisco Javier
Hinojo Montero, José María
Muñoz Chavero, Fernando
|Universidad de Sevilla. Departamento de Ingeniería Electrónica
|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 ...
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.
|Teixidó, P., Gómez Galán, J.A., Caballero, R., Pérez Grau, F.J., Hinojo Montero, J.M., Muñoz Chavero, F. y Aponte, J. (2021). Secured Perimeter with Electromagnetic Detection and Tracking with Drone Embedded and Static Cameras. Sensors, 21 (21), 7379. https://doi.org/10.3390/s21217379.