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    System and method for eye safe detection of unknown targets
    1.
    发明授权
    System and method for eye safe detection of unknown targets 有权
    眼睛安全检测未知目标的系统和方法

    公开(公告)号：US08994934B1

    公开(公告)日：2015-03-31

    申请号：US13373333

    申请日：2011-11-10

    申请人： Matthew Nelson ,  Patrick Treado ,  Robert Schweitzer ,  Robert D'Agostino

    发明人： Matthew Nelson ,  Patrick Treado ,  Robert Schweitzer ,  Robert D'Agostino

    IPC分类号： G01N21/00 ,  G01N33/00 ,  G01J3/02

    CPC分类号： G01N33/0057 ,  G01J3/02 ,  G01J3/027 ,  G01J3/44 ,  G01J5/0846 ,  G01J5/0859 ,  G01J2005/0077 ,  H04N5/23219

    摘要： 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.

    摘要翻译： 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。

    Detection of Pathogenic Microorganisms Using Fused Raman, SWIR and LIBS Sensor Data
    10.
    发明申请
    Detection of Pathogenic Microorganisms Using Fused Raman, SWIR and LIBS Sensor Data 审中-公开
    使用熔融拉曼，SWIR和LIBS传感器数据检测病原微生物

    公开(公告)号：US20110237446A1

    公开(公告)日：2011-09-29

    申请号：US13081992

    申请日：2011-04-07

    申请人： Patrick Treado ,  Robert Schweitzer

    发明人： Patrick Treado ,  Robert Schweitzer

    IPC分类号： C40B30/02

    摘要： A system and method to search spectral databases to identify unknown materials, specifically pathogenic microorganisms. A library is provided, having sublibraries containing reference data sets of known materials and test data sets, both generated by at least one spectroscopic data generating instrument. For each test data set, each sublibrary associated with the instrument used is searched. A set of scores for each searched sublibrary is produced, representing the likelihood of a match between the reference data set and test data set. Relative probability values are calculated for each searched sublibrary. All relative probability values are fused producing a set of final probability values, used in determining whether the unknown material is represented through a known material in the library. The known material represented in the libraries having the highest final probability value is reported, if the highest final probability value is greater than or equal to the minimum confidence value.

    摘要翻译： 检索光谱数据库以识别未知物质，特别是致病微生物的系统和方法。 提供一个库，具有包含由至少一个光谱数据生成装置生成的已知材料和测试数据集的参考数据集的子图标。 对于每个测试数据集，搜索与使用的仪器相关联的每个子库。 产生每个搜索的子图库的一组分数，表示参考数据集和测试数据集之间的匹配的可能性。 对于每个搜索的子图库计算相对概率值。 所有相对概率值被融合，产生一组最终概率值，用于确定未知材料是否通过库中的已知材料表示。 如果最大最终概率值大于或等于最小置信度值，则报告具有最高最终概率值的库中表示的已知材料。