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    • 10. 发明授权
    • System and method for eye safe detection of unknown targets
    • 眼睛安全检测未知目标的系统和方法
    • US08994934B1
    • 2015-03-31
    • US13373333
    • 2011-11-10
    • Matthew NelsonPatrick TreadoRobert SchweitzerRobert D'Agostino
    • Matthew NelsonPatrick TreadoRobert SchweitzerRobert D'Agostino
    • G01N21/00G01N33/00G01J3/02
    • G01N33/0057G01J3/02G01J3/027G01J3/44G01J5/0846G01J5/0859G01J2005/0077H04N5/23219
    • The present disclosure provides for a system and method for detecting and identifying unknown targets. At least one region of interest comprising an unknown target in a sample scene may be targeted using SWIR spectroscopic techniques. A region of interest may be surveyed to thereby determine whether or not a human is present. This surveying may be achieved my assessing LWIR data, data acquired from motion sensors, and combinations thereof. If no human is present in a region of interest, the region may be interrogated using Raman spectroscopic techniques to thereby obtain a Raman data set representative of the region of interest. This Raman data set may be assessed to thereby identify said unknown target. This assessment may be achieved by comparing the Raman data set to a reference data sets in a reference database, where each reference data set is associated with a known target.
    • 本公开提供了用于检测和识别未知目标的系统和方法。 可以使用SWIR光谱技术来对包含样本场景中的未知目标的至少一个感兴趣区域进行定位。 可以调查感兴趣的区域,从而确定人是否存在。 本次测量可能会实现我对LWIR数据的评估,运动传感器获取的数据及其组合。 如果感兴趣区域中没有人存在,则可以使用拉曼光谱技术询问该区域,从而获得表示感兴趣区域的拉曼数据集。 可以评估该拉曼数据集,从而识别所述未知目标。 可以通过将拉曼数据集与参考数据库中的参考数据集进行比较来实现该评估,其中每个参考数据集与已知目标相关联。