Produce data collector and produce recognition system
    2.
    发明公开
    Produce data collector and produce recognition system 审中-公开
    Produktdatensammler und Produkterkennungsvorrichtung

    公开(公告)号:EP1065481A3

    公开(公告)日:2003-10-15

    申请号:EP00304843.6

    申请日:2000-06-08

    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,并且 产生与用于识别产品的波长相关联的信号。

    Produce recognition system and method
    3.
    发明公开
    Produce recognition system and method 审中-公开
    产生识别系统和方法

    公开(公告)号:EP1074830A1

    公开(公告)日:2001-02-07

    申请号:EP00306155.3

    申请日:2000-07-19

    Abstract: A produce recognition system and method which use an internal reference to calibrate a produce data collector. The produce data collector collects first data from an external reference, collects second and third data from an internal reference, and collects fourth data from a produce item. A computer determines a first calibration value from the first and second data and a second calibration value from the third data and applies the first and second calibration values to the fourth data to produce fifth data. The computer further obtains sixth data from reference produce data and compares the fifth and sixth data to identify the produce item.

    Abstract translation: 使用内部参考来校准产品数据收集器的产品识别系统和方法。 生产数据收集器收集来自外部参考的第一个数据,收集来自内部参考的第二个和第三个数据,并收集产品项目的第四个数据。 计算机确定来自第一和第二数据的第一校准值和来自第三数据的第二校准值,并将第一和第二校准值应用于第四数据以产生第五数据。 计算机进一步从参考产生数据获得第六数据,并比较第五和第六数据以识别产品项目。

    Methods and apparatus for area weighted mean processing of barcode signals
    5.
    发明公开
    Methods and apparatus for area weighted mean processing of barcode signals 有权
    为加权Strichkodesignalen的处理方法和装置

    公开(公告)号:EP1205874A3

    公开(公告)日:2003-01-22

    申请号:EP01308770.5

    申请日:2001-10-15

    CPC classification number: G06K7/10851

    Abstract: Techniques are described for removing noise effects in processing a barcode signal. A photosignal produced by scanning a barcode is used to generate a digital first derivative signal. Positive and negative thresholds are generated based on the digital first derivative signal. Processing windows are defined for each region of the first derivative signal which exceeds a threshold. Each processing window is bounded by a window opening point at which the first derivative signal exceeds a threshold, and by a window closing point, which is the last crossing of the threshold by the first derivative signal before the first derivative signal makes a zero crossing. Each region is processed to locate a geometric center of the region. A logic transition is recognized for each geometric center of a region defined by a processing window.

    Methods and apparatus for area weighted mean processing of barcode signals
    6.
    发明公开
    Methods and apparatus for area weighted mean processing of barcode signals 有权
    Verfahren und Vorrichtung zur Verarbeitung von gewichteten Strichkodesignalen

    公开(公告)号:EP1205874A2

    公开(公告)日:2002-05-15

    申请号:EP01308770.5

    申请日:2001-10-15

    CPC classification number: G06K7/10851

    Abstract: Techniques are described for removing noise effects in processing a barcode signal. A photosignal produced by scanning a barcode is used to generate a digital first derivative signal. Positive and negative thresholds are generated based on the digital first derivative signal. Processing windows are defined for each region of the first derivative signal which exceeds a threshold. Each processing window is bounded by a window opening point at which the first derivative signal exceeds a threshold, and by a window closing point, which is the last crossing of the threshold by the first derivative signal before the first derivative signal makes a zero crossing. Each region is processed to locate a geometric center of the region. A logic transition is recognized for each geometric center of a region defined by a processing window.

    Abstract translation: 描述了在处理条形码信号时消除噪声影响的技术。 通过扫描条形码产生的光信号用于产生数字一阶导数信号。 基于数字一阶导数信号产生正和负阈值。 针对超过阈值的一阶导数信号的每个区域定义处理窗口。 每个处理窗口由一阶导数信号超过阈值的窗口开口点和由一阶导数信号进行零交叉之前通过一阶导数信号的阈值的最后交叉的窗口闭合点界定。 处理每个区域以定位该区域的几何中心。 对于由处理窗口定义的区域的每个几何中心,识别逻辑转换。

    Produce recognition system and method
    7.
    发明公开
    Produce recognition system and method 审中-公开
    系统和方法,用于产品识别

    公开(公告)号:EP1073000A3

    公开(公告)日:2005-01-05

    申请号:EP00306156.1

    申请日:2000-07-19

    Inventor: Gu, Yeming

    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.

    Produce recognition system and method
    8.
    发明公开
    Produce recognition system and method 审中-公开
    系统和Verfahren zur Produkterkennung

    公开(公告)号:EP1073000A2

    公开(公告)日:2001-01-31

    申请号:EP00306156.1

    申请日:2000-07-19

    Inventor: Gu, Yeming

    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,其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目收集第一个数据。 图书馆包含与产品类别相关联的第二个数据。 计算机从库中读取第二数据,确定第一数据和第二数据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类别的产品中。

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