Produce data collector and produce recognition system
    12.
    发明授权
    Produce data collector and produce recognition system 有权
    生产数据采集器并生成识别系统

    公开(公告)号:US06332573B1

    公开(公告)日:2001-12-25

    申请号:US09189783

    申请日:1998-11-10

    CPC classification number: G07G1/0054 G06K9/209 G06K2209/17

    Abstract: A produce data collector and produce recognition system which illuminates a produce item with substantially uniform light to enhance the accuracy of collected produce data and subsequent identification of the produce item as part of a transaction in a transaction establishment. The produce data collector includes a light source for illuminating the produce item with substantially uniform light during the transaction, a light separating element for splitting light collected from the produce item into a plurality of different light portions having different wavelengths, a detector for converting energy in the plurality of light portions into a plurality of electrical signals, and control circuitry which digitizes the plurality of electrical signals to produce a digital spectrum from the produce item which contains information to identify the produce item for the purpose of determining its unit price.

    Abstract translation: 产品数据收集器并产生用基本均匀的光照亮产品的识别系统,以提高收集的产量数据的准确性,并随后识别作为事务处理中交易的一部分的产品项目。 产品数据收集器包括用于在交易期间以基本上均匀的光照射产品的光源,用于将从产品中收集的光分成具有不同波长的多个不同光部分的光分离元件,用于将能量转换成 所述多个光部分成多个电信号,以及控制电路,其数字化所述多个电信号以产生来自所述产品的数字频谱,所述数字频谱包含用于确定所述产品项目以确定其单价的信息。

    Methods and apparatus for using imaging information to improve scanning accuracy in bar code scanners
    14.
    发明授权
    Methods and apparatus for using imaging information to improve scanning accuracy in bar code scanners 有权
    使用成像信息提高条形码扫描仪扫描精度的方法和装置

    公开(公告)号:US07059527B2

    公开(公告)日:2006-06-13

    申请号:US11005272

    申请日:2004-12-06

    CPC classification number: G06K7/1096 G06K7/10792

    Abstract: Techniques for using imaging information computed from examining a scanner signal are described. When one or more objects passes within a field of view of a scanner, scan patterns emerging from one or more scanner windows and reflected from the objects back into the scanner windows produce one or more scanner signals. The scanner signals are processed to obtain beam position and beam length information to improve the accuracy of bar code decoding and to compute imaging information for objects within the field of view of the scanner. The imaging information for the objects is compared with bar code information for the objects. The expected number, size and shapes of objects indicated by the bar code information is compared with the actual number, size and shapes of objects in order to determine if valid scans occurred or if missed, double or otherwise erroneous scans occurred.

    Abstract translation: 描述了使用从检查扫描仪信号计算出的成像信息的技术。 当一个或多个物体在扫描仪的视野内通过时,从一个或多个扫描器窗口出现并从物体反射回扫描仪窗口的扫描图案产生一个或多个扫描器信号。 处理扫描仪信号以获得波束位置和波束长度信息,以提高条形码解码的精度并计算扫描仪视野内的物体的成像信息。 将对象的成像信息与对象的条形码信息进行比较。 将条形码信息指示的物体的预期数量,大小和形状与物体的实际数量,大小和形状进行比较,以确定是否发生有效扫描,或者是否发生错误,双重或其他错误扫描。

    Methods and apparatus for using imaging information to improve scanning accuracy in bar code scanners
    15.
    发明申请
    Methods and apparatus for using imaging information to improve scanning accuracy in bar code scanners 有权
    使用成像信息提高条形码扫描仪扫描精度的方法和装置

    公开(公告)号:US20050103850A1

    公开(公告)日:2005-05-19

    申请号:US11005272

    申请日:2004-12-06

    CPC classification number: G06K7/1096 G06K7/10792

    Abstract: Techniques for using imaging information computed from examining a scanner signal are described. When one or more objects passes within a field of view of a scanner, scan patterns emerging from one or more scanner windows and reflected from the objects back into the scanner windows produce one or more scanner signals. The scanner signals are processed to obtain beam position and beam length information to improve the accuracy of bar code decoding and to compute imaging information for objects within the field of view of the scanner. The imaging information for the objects is compared with bar code information for the objects. The expected number, size and shapes of objects indicated by the bar code information is compared with the actual number, size and shapes of objects in order to determine if valid scans occurred or if missed, double or otherwise erroneous scans occurred.

    Abstract translation: 描述了使用从检查扫描仪信号计算出的成像信息的技术。 当一个或多个物体在扫描仪的视野内通过时,从一个或多个扫描器窗口出现并从物体反射回扫描仪窗口的扫描图案产生一个或多个扫描器信号。 处理扫描仪信号以获得波束位置和波束长度信息,以提高条形码解码的精度并计算扫描仪视野内的物体的成像信息。 将对象的成像信息与对象的条形码信息进行比较。 将条形码信息指示的物体的预期数量,大小和形状与物体的实际数量,大小和形状进行比较,以确定是否发生有效扫描,或者是否发生错误,双重或其他错误扫描。

    Optical scanner having enhanced item side coverage
    16.
    发明授权
    Optical scanner having enhanced item side coverage 有权
    具有增强的物品侧覆盖的光学扫描器

    公开(公告)号:US06866197B1

    公开(公告)日:2005-03-15

    申请号:US10688113

    申请日:2003-10-17

    CPC classification number: G06K7/10871 G06K7/10693

    Abstract: An optical scanner having enhanced item side coverage which scans all six sides of an item and an intermediate side. The optical scanner includes a scanner housing, a first optics assembly within the scanner housing including a horizontal aperture, and a second optics assembly including a second housing within the scanner housing including a substantially vertical aperture. The first and second optics assemblies are capable of scanning six sides of an item. At least one of the first and second optics assemblies additionally generates third scan lines for scanning an intermediate side of the item.

    Abstract translation: 一种具有增强的物品侧面覆盖的光学扫描器,其扫描物品和中间侧的所有六个侧面。 光学扫描器包括扫描器壳体,扫描器壳体内的第一光学组件包括水平孔,以及包括在扫描器壳体内的第二壳体的第二光学组件,包括基本垂直的孔。 第一和第二光学组件能够扫描物品的六面。 第一和第二光学组件中的至少一个另外产生用于扫描物品的中间侧的第三扫描线。

    Produce recognition system and method
    17.
    发明授权
    Produce recognition system and method 有权
    制作识别系统和方法

    公开(公告)号:US06529855B1

    公开(公告)日:2003-03-04

    申请号:US09362488

    申请日:1999-07-28

    Applicant: Yeming Gu

    Inventor: Yeming Gu

    CPC classification number: G06K9/00536 G06K9/6272 G06K2209/17

    Abstract: A produce recognition system and method which use a distance measure of likeness calculation to identify a produce item. The system includes a produce data collector, a library, and a computer. The produce data collector collects first data from the produce item. The library contains second data associated with classes of produce items. The computer reads the second data from a library, determines a distance measure of likeness value between the first data and each of the second data, determines third data and a corresponding class of produce items from the second data which produces a smallest distance measure of likeness value, and identifies the produce item to be within the corresponding class of produce items.

    Abstract translation: 一种产品识别系统和方法,使用相似度计算的距离度量来识别产品。 该系统包括产品数据收集器,库和计算机。 产品数据收集器从产品项收集第一个数据。 图书馆包含与产品类别相关联的第二个数据。 计算机从库读取第二数据,确定第一数据和第二数据中的每一个之间的相似值的距离度量,从产生相似度的最小距离度量的第二数据确定第三数据和相应类别的产品项 价值,并将产品项目标识在相应的产品类别范围内。

    Method of recognizing produce items using checkout frequency
    19.
    发明授权
    Method of recognizing produce items using checkout frequency 有权
    使用结算频率识别产品的方法

    公开(公告)号:US06409085B1

    公开(公告)日:2002-06-25

    申请号:US09640032

    申请日:2000-08-16

    Applicant: Yeming Gu

    Inventor: Yeming Gu

    CPC classification number: G07G1/0054

    Abstract: A method of recognizing produce items which uses checkout frequency as an a priori probability. The method includes the steps of collecting produce data from the produce item, determining DML values between the produce data and reference produce data for a plurality of types of produce items, determining conditional probability densities for all of the types of produce items using the DML values, combining the conditional probability densities together to form a combined conditional probability density, determining checkout frequencies for the produce types, determining probabilities for the types of produce items from the combined conditional probability density and the checkout frequencies, determining a number of candidate identifications from the probabilities, and identifying the produce item from the number candidate identifications.

    Abstract translation: 识别使用检验频率作为先验概率的产品的方法。 该方法包括以下步骤:从产品项目收集产品数据,确定产品数据和参考产品之间的DML值,产生多种产品类型的数据,使用DML值确定所有类型产品的所有类型产品的条件概率密度 将所述条件概率密度组合在一起以形成组合的条件概率密度,确定所述产品类型的检出频率,从所述组合条件概率密度和所述检验频率确定所述产品项目的类型的概率,从所述组合条件概率密度确定候选标识的数量 概率和从候选人候选人身份识别产品项目。

    Produce data collector and produce recognition system
    20.
    发明授权
    Produce data collector and produce recognition system 失效
    生产数据采集器并生成识别系统

    公开(公告)号:US06313917B1

    公开(公告)日:2001-11-06

    申请号:US09346716

    申请日:1999-07-02

    Inventor: Hong Tang Yeming Gu

    Abstract: A produce data collector with minimal spectral distortion. The produce data collector includes a light pipe having entrance and exit ends through which a portion of light reflected from a produce item travels, and a spectrometer adjacent the exit end of the light pipe which splits the portion of light into a plurality of wavelengths and which produces signals associated with the wavelengths for identifying the produce item.

    Abstract translation: 具有最小光谱失真的产品数据采集器。 产品数据收集器包括具有入口和出口端的光管,通过该端口从产品反射的光的一部分行进,以及邻近光管的出射端的光谱仪,其将该部分光分成多个波长, 产生与用于识别产品的波长相关联的信号。

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