System and Method for Drug Detection Using SWIR
    2.
    发明申请
    System and Method for Drug Detection Using SWIR 审中-公开
    使用SWIR进行药物检测的系统和方法

    公开(公告)号:US20140043488A1

    公开(公告)日:2014-02-13

    申请号:US14055509

    申请日:2013-10-16

    IPC分类号: G01N33/15

    摘要: A method for detecting unknown materials, such as drugs. A first location is surveyed using a video capture device to identify a second location comprising an unknown material. The second location is interrogated using SWIR spectroscopic and/or imaging methods to generate a SWIR hyperspectral image. The SWIR hyperspectral image is analyzed to associate the unknown material with a known drug material. A system for detecting unknown materials, such as drugs comprising a first collection lens for collecting interacted photons from a first location and a visible imaging device for generating a visible image. A second collection lens may collect a plurality of interacted photons from a second location and a tunable filter may filter the interacted photons. A spectroscopic imaging device may detect the interacted photons and generate a SWIR hyperspectral image. A processor may analyze the SWIR hypespectral image to associate an unknown material with a known material.

    摘要翻译: 检测未知物质如药物的方法。 使用视频捕获设备来测量第一位置以识别包括未知材料的第二位置。 使用SWIR光谱和/或成像方法询问第二个位置以产生SWIR高光谱图像。 分析SWIR高光谱图像以将未知材料与已知药物材料相关联。 一种用于检测未知材料的系统,例如药物,其包括用于从第一位置收集相互作用的光子的第一收集透镜和用于产生可见图像的可见成像装置。 第二采集透镜可以从第二位置收集多个相互作用的光子,并且可调谐滤光器可以过滤相互作用的光子。 光谱成像装置可以检测相互作用的光子并产生SWIR高光谱图像。 处理器可以分析SWIR超光谱图像以将未知材料与已知材料相关联。

    System and method for safer detection of unknown materials using dual polarized hyperspectral imaging and Raman spectroscopy
    4.
    发明授权
    System and method for safer detection of unknown materials using dual polarized hyperspectral imaging and Raman spectroscopy 有权
    使用双偏振高光谱成像和拉曼光谱法更安全地检测未知材料的系统和方法

    公开(公告)号:US08743358B2

    公开(公告)日:2014-06-03

    申请号:US13842098

    申请日:2013-03-15

    IPC分类号: G01J3/28

    摘要: A first location comprising an unknown material may be scanned using SWIR hyperspectral imaging in a dual polarization configuration. Surveying may also be applied 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, a second location 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 associate an unknown material with a known material. This assessment may be achieved by comparing the Raman data set to one or more reference data sets in a reference database, where each reference data set is associated with a known material.

    摘要翻译: 包含未知材料的第一位置可以使用双极化配置中的SWIR高光谱成像进行扫描。 还可以进行测量,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。 如果不存在人,则可以使用拉曼光谱技术询问第二位置,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以将未知材料与已知材料相关联。 可以通过将拉曼数据集与参考数据库中的一个或多个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材料相关联。

    SWIR Targeted Agile Raman System for Detection of Unknown Materials Using Dual Polarization
    6.
    发明申请
    SWIR Targeted Agile Raman System for Detection of Unknown Materials Using Dual Polarization 有权
    SWIR目标敏捷拉曼系统,用于利用双极化检测未知材料

    公开(公告)号:US20140104607A1

    公开(公告)日:2014-04-17

    申请号:US13842034

    申请日:2013-03-15

    IPC分类号: G01N21/65

    摘要: The present disclosure provides for a system and method for analyzing a sample comprising at least one unknown material. A first location may be scanned to generate a SWIR hyperspectral image. The SWIR hyperspectral image may be generated using dual polarization techniques. The SWIR hyperspectral image may be analyzed to target a second location comprising the unknown material. This second location may be further analyzed using Raman spectroscopic techniques and a Raman data set may be generated. The Raman data set may be further analyzed to associate the unknown material with a know material.

    摘要翻译: 本公开提供了用于分析包含至少一种未知材料的样品的系统和方法。 可以扫描第一位置以产生SWIR高光谱图像。 可以使用双极化技术生成SWIR高光谱图像。 可以分析SWIR高光谱图像以瞄准包括未知材料的第二位置。 可以使用拉曼光谱技术进一步分析该第二位置,并且可以生成拉曼数据集。 可以进一步分析拉曼数据集以将未知材料与知识材料相关联。

    System and Method for Detecting Environmental Conditions Using Hyperspectral Imaging
    7.
    发明申请
    System and Method for Detecting Environmental Conditions Using Hyperspectral Imaging 审中-公开
    使用高光谱成像检测环境条件的系统和方法

    公开(公告)号:US20130342683A1

    公开(公告)日:2013-12-26

    申请号:US13973769

    申请日:2013-08-22

    IPC分类号: G01W1/00

    摘要: A system and method for detecting environmental conditions using SWIR hyperspectral imaging. A method may comprise collecting a plurality of interacted photons from at least one location and passing the interacted photons through a tunable filter, filtering the interacted photons into a plurality of wavelength bands. These filtered photons may be detected and analyzed to determine the presence or absence of an environmental condition. A system may comprise at least one collection lens configured to collect at least one plurality of interacted photons from at least one location and a tunable filter for filtering the interacted photons into a plurality of wavelength bands. The system may further comprise a detector configured to detect the filtered photons and generate at least one hyperspectral image representative of the location. The system may further comprise a processor for analyzing the hyperspectral data set and determining the presence or absence of an environmental condition.

    摘要翻译: 使用SWIR高光谱成像检测环境条件的系统和方法。 一种方法可以包括从至少一个位置收集多个相互作用的光子,并将相互作用的光子传递通过可调谐滤波器,将相互作用的光子过滤成多个波长带。 可以检测和分析这些过滤的光子以确定环境条件的存在或不存在。 系统可以包括配置成从至少一个位置收集至少一个多个相互作用的光子的至少一个集合透镜和用于将相互作用的光子滤波成多个波长带的可调滤波器。 该系统还可以包括检测器,其被配置为检测滤波的光子并且生成代表该位置的至少一个高光谱图像。 该系统还可以包括用于分析高光谱数据集并确定环境条件的存在或不存在的处理器。

    System and method for detecting target materials using a VIS-NIR detector

    公开(公告)号:US10317282B2

    公开(公告)日:2019-06-11

    申请号:US15401716

    申请日:2017-01-09

    摘要: The present disclosure provides systems and methods for determining the presence of a target material in a sample. In general terms, the system and method disclosed herein provide collecting interacted photons from a sample having a target material. The interacted photons are passed through a tunable filter to a VIS-NIR detector where the VIS-NIR detector generates a VIS-NIR hyperspectral image representative of the filtered interacted photons. The hyperspectral image of the filtered interacted photons is analyzed by comparing the hyperspectral image of the filtered interacted photons to known hyperspectral images to identify the presence of a target material in a sample. The systems and methods disclosed herein provide easy identification of the presence of a target material in a sample.