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首页> 外文会议>International Symposium on Digital Forensics and Security >Classification of Live/Lifeless Assets with Laser Beams in Different Humidity Environments
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Classification of Live/Lifeless Assets with Laser Beams in Different Humidity Environments

机译：不同湿度环境下激光束对有生命/无生命资产的分类

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摘要

Detecting the vitality of a certain distance person is important in natural disasters, search and rescue activities, urban warfare environments and in the fight against terrorism. In this study, a system is proposed that targets located at a certain distance are marked with a low-power laser beam, allowing them to be detected as live/lifeless. In addition, the performance of the proposed system in different relative humidity environments is analyzed. In this study, in a laboratory environment with 32%, 60%, 70% and 80% relative humidity, laser marks are obtained from the arms of 10 volunteer male subjects and 17 different objects, for each humidity rate. The signals obtained are trained in the developed deep learning network. In the literature, it is known that the performance of electronic devices at high relative humidity rates has decreased. As a result of experimental studies, it can be seen that the proposed system has a high classification performance even in the low humidity and very high humidity range. The fact that assets at a certain distance can be classified as live/lifeless with a high-performance rate, regardless of the humidity rate, demonstrates the applicability of the proposed system.
机译：在自然灾害，搜救活动，城市战争环境和反恐斗争中，检测一定距离的人的生命力很重要。在这项研究中，提出了一种系统，该系统使用低功率激光束标记位于一定距离处的目标，从而可以将它们检测为有生命/无生命的。另外，分析了所提出系统在不同相对湿度环境下的性能。在这项研究中，在相对湿度为32％，60％，70％和80％的实验室环境中，针对每种湿度比率，从10位志愿者男性受试者和17个不同物体的手臂上获得了激光标记。获得的信号在发达的深度学习网络中进行训练。在文献中，已知电子设备在高相对湿度下的性能已经下降。作为实验研究的结果，可以看出，即使在低湿度和非常高的湿度范围内，所提出的系统也具有很高的分类性能。不管湿度高低，都可以以一定的效率将一定距离处的资产分类为有生命/无生命的事实，这说明了所提出系统的适用性。

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