APPARATUS AND METHOD FOR OPTIMIZING DATA CAPTURE AND DATA CORRECTION FOR SPECTROSCOPIC ANALYSIS
    1.
    发明申请
    APPARATUS AND METHOD FOR OPTIMIZING DATA CAPTURE AND DATA CORRECTION FOR SPECTROSCOPIC ANALYSIS 审中-公开
    优化数据采集和数据校正的设备和方法进行光谱分析

    公开(公告)号:WO2014139003A1

    公开(公告)日:2014-09-18

    申请号:PCT/CA2014/050249

    申请日:2014-03-14

    CPC classification number: G01J3/28 G01J3/027 G01J3/2803 H04N5/367

    Abstract: A method and an apparatus for increasing accuracy of a spectrometer system is provided. The method comprises correcting for, quality of light source, exposure time, distortion in y direction, distortion in x direction, temperature dependence, variability of for pixel alignment, dark pixels, bad pixels, pixel read noise, pixel dark current noise, and a combination thereof, in a spectrometer system, to produce an algorithm for optimizing of spectral data, and measuring a sample within the spectrometer system using the algorithm for optimizing spectral data. The apparatus comprises a spectrometer system comprising, a composite external light source in optical communication with, and in optical sequence with, a source light collector, an illumination light structuring component, a sample, a sample light collector, a spectrometer light structuring component, a light dispersing engine, and one or more photo detectors, and electrical signal converter, the electrical signal convertor in communication with a data preprocessing unit, and a data analyzer, the spectrometer system further comprising one or more of corrected photo detector algorithm, a sample illumination correction algorithm, an LDE-PD alignment procedure, SLSC- LDE alignment procedure, a distortion correction matrix, an algorithm for optimizing of spectral data, or a combination thereof.

    Abstract translation: 提供了一种提高光谱仪系统精度的方法和装置。 该方法包括校正光源的质量,曝光时间,y方向的失真,x方向的失真,温度依赖性,用于像素对准的可变性,暗像素,不良像素,像素读取噪声,像素暗电流噪声和 其组合,在光谱仪系统中,以产生用于优化光谱数据的算法,以及使用用于优化光谱数据的算法来测量光谱仪系统内的样本。 该装置包括一个光谱仪系统,该系统包括与光源集光器,照明光结构元件,样品,样品光收集器,光谱仪光结构元件光学通信和光学序列的复合外部光源。 光分散引擎和一个或多个光电检测器,以及电信号转换器,与数据预处理单元通信的电信号转换器和数据分析器,该光谱仪系统还包括一个或多个校正光检测器算法,样本照明 校正算法,LDE-PD校准过程,SLSC-LDE校准过程,失真校正矩阵,用于优化光谱数据的算法或其组合。

    CONVEYOR APPARATUS FOR IMAGING FOOD PRODUCTS

    公开(公告)号:WO2020035808A1

    公开(公告)日:2020-02-20

    申请号:PCT/IB2019/056911

    申请日:2019-08-14

    Abstract: Apparatuses for imaging food products are provided. An apparatus includes a first and second conveyor, the first conveyor configured to move a flexible food product at a first speed, the second conveyor configured to move the flexible food product at a second speed greater than the first speed, a receiving portion of the second conveyor positioned in a downward direction relative to the first conveyor to receive the flexible food product, thereby flipping the flexible food product and stretching the flexible food product for imaging. An apparatus may include a guide mechanism to guide the food product to be flipped. An apparatus may move a plurality of food products and spread apart the plurality of food products for imaging. An apparatus may include a receiving structure having a low-friction receiving surface for stretching or spreading apart food products.

    DEVICES, SYSTEMS AND METHODS FOR SORTING AND LABELLING FOOD PRODUCTS

    公开(公告)号:WO2021033012A1

    公开(公告)日:2021-02-25

    申请号:PCT/IB2019/057019

    申请日:2019-08-20

    Abstract: Devices, systems and methods for sorting and labelling food products are provided. Respective spectra of food products for a plurality of segments of a line are received at a controller from at least one line-scan dispersive spectrometer configured to acquire respective spectra of the food products for the plurality of segments of the line. The controller applies one or more machine learning algorithms to the respective spectra to classify the plurality of segments according to at least one of one or more food parameters. The controller controls one or more of a sorting device and a labelling device according to classifying the plurality of segments to cause the food products to be one or more of sorted and labelled according to the at least one of the one or more food parameters.

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