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    • 1. 发明授权
    • Detecting and identifying hazardous substances contained in mail articles
    • 检测和识别邮件中含有的有害物质
    • US07224825B2
    • 2007-05-29
    • US10417570
    • 2003-04-17
    • William C. CraigJohn GofranRosemary D. Paradis
    • William C. CraigJohn GofranRosemary D. Paradis
    • G06K9/00G06K9/62G06F19/00G01N15/02G01N31/00
    • G01N15/0211G01N21/64G01N2021/6417
    • A method and computer program product are described for detecting and identifying airborne particular matter comprising a plurality of particles. The backscatter induced by each of the particles under a light source is measured to determine a backscatter value for each particle. The autofluorescence intensity of each of the particles around at least one characteristic wavelength is then measured to obtain at least one autofluorescence intensity value for each particle. The measured autofluorescence intensities and the backscatter values from the plurality of particles are processed to determine if a potential biohazard exists. At least one autofluorescence intensity value for each particle is provided to a pattern recognition classifier if a potential biohazard is present. The classifier is trained to recognize at least one variety of airborne particulate matter.
    • 描述了用于检测和识别包括多个颗粒的空气传播的特定物质的方法和计算机程序产品。 测量由光源下的每个颗粒引起的反向散射以确定每个颗粒的反向散射值。 然后测量在至少一个特征波长周围的每个颗粒的自发荧光强度,以获得每个颗粒的至少一个自发荧光强度值。 处理来自多个颗粒的测量的自发荧光强度和反向散射值以确定是否存在潜在的生物危害。 如果存在潜在的生物危害,则每个颗粒的至少一个自发荧光强度值被提供给模式识别分类器。 训练分类器以识别至少一种空气中的颗粒物。