| 识别无人机的无人值守光电告警系统 |
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| 作者姓名： | 殷宗迪 何 平 宋秋冬 朱 猛 |
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| 作者单位： | 天津津航技术物理研究所·天津·300308;
哈尔滨工业大学航天学院·哈尔滨·150001,哈尔滨工业大学航天学院·哈尔滨·150001,天津津航技术物理研究所·天津·300308;,天津津航技术物理研究所·天津·300308; |
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| 摘 要： | 无人机的高速发展不仅为人类的生活带来了便利,同样也引发了各类安全问题。为此,近年来,我国重大涉密工业场所和交通枢纽为保障运行安全,积极建设了针对无人机的安防系统。光电告警系统是最重要的安防系统组件之一,其目的是识别目标和取得法律证据。介绍了一种针对无人机的无人值守光电告警系统,能够同时输出可见光和红外图像信息,并且能够自动识别目标类型。这套系统已经在我国重要的工业场所中成功应用,并取得了阶段性的成果,其成功的运行为后续智能化光电告警平台的发展奠定了基础。
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| 关 键 词： | 深度学习 无人值守 无人机 识别 光电告警 |
UAV Unmanned Photoelectric Warning System |
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| Authors: | YIN Zongdi HE Ping SONG Qiudong and ZHU Meng |
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| Affiliation: | Tianjin Jinhang Institute of Technical Physics,Tianjin 300308;
School of Astronautics,Harbin Institute of Technology, Harbin 150001,School of Astronautics,Harbin Institute of Technology, Harbin 150001,Tianjin Jinhang Institute of Technical Physics,Tianjin 300308; and Tianjin Jinhang Institute of Technical Physics,Tianjin 300308; |
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| Abstract: | The rapid development of drones not only brings convenience to the human''s life, but also triggers various types of security issues. For this reason, in recent years, China''s major industrial sites and transportation hubs have been actively involved in the construction of security systems for drones to ensure safe operation. Photoelectric alarm system is one of the most important components of the security system, which is purposed to identify the target and obtain legal evidence. This article describes an unmanned optoelectronic alert system for drones that can simultaneously output visible and infrared image information and automatically identify the target type. This system has been applied in important industrial sites in China and has achieved phased results. Its successful operation lays the foundation for the development of the subsequent intelligent photoelectric warning platform. |
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| Keywords: | deep learning unmanned UAV distinction photoelectric warning |
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