OnTech Security LLC, C/Hispano Aviación, 7-9, 41300 Seville, Spain.
Departamento de Ingeniería Electrónica, Sistemas Informáticos y Automática, Universidad de Huelva, 21007 Huelva, Spain.
Sensors (Basel). 2021 Nov 6;21(21):7379. doi: 10.3390/s21217379.
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.
周界检测系统用于检测侵入保护区的入侵者，但现代解决方案需要将智能探测器、信息网络和控制软件相结合，以降低误报率并扩大检测范围。目前可用的周界安防解决方案（红外和运动传感器、光纤、摄像机、雷达等）存在一些问题，例如对天气条件敏感或高误报率，这迫使需要人工监督。本文中所展示的系统通过结合基于 CEMF（电磁场控制）感应技术的周界安防系统、一组在检测到事件时才开启的摄像机，克服了这些问题。还会通知一架自主无人机最初检测到事件的位置。然后，它通过计算机视觉飞行，在入侵者仍在周界内时跟踪他们。本文详细介绍了这三个组件如何协同工作，有效地保护周界，而无需担心误报、天气条件导致的致盲、空旷区域或隐私问题。该系统还提供有关入侵者所在或曾经所在位置的额外信息，无论他们在攻击过程中是否与更多人混在一起。
