Spectroscopic classification of conformance with dietary restrictions

    公开(公告)号:US10852285B2

    公开(公告)日:2020-12-01

    申请号:US16587260

    申请日:2019-09-30

    摘要: A device may receive a classification model generated based on a set of spectroscopic measurements performed by a first spectrometer. The device may store the classification model in a data structure. The device may receive a spectroscopic measurement of an unknown sample from a second spectrometer. The device may obtain the classification model from the data structure. The device may classify the unknown sample into a Kosher or non-Kosher group or a Halal or non-Halal group based on the spectroscopic measurement and the classification model. The device may provide information identifying the unknown sample based on the classifying of the unknown sample.

    Spectroscopic classification of conformance with dietary restrictions

    公开(公告)号:US10444213B2

    公开(公告)日:2019-10-15

    申请号:US15401669

    申请日:2017-01-09

    摘要: A device may receive a classification model generated based on a set of spectroscopic measurements performed by a first spectrometer. The device may store the classification model in a data structure. The device may receive a spectroscopic measurement of an unknown sample from a second spectrometer. The device may obtain the classification model from the data structure. The device may classify the unknown sample into a Kosher or non-Kosher group or a Halal or non-Halal group based on the spectroscopic measurement and the classification model. The device may provide information identifying the unknown sample based on the classifying of the unknown sample.

    Spectroscopic classification of conformance with dietary restrictions

    公开(公告)号:US11555810B2

    公开(公告)日:2023-01-17

    申请号:US16949871

    申请日:2020-11-18

    摘要: A device may receive a classification model generated based on a set of spectroscopic measurements performed by a first spectrometer. The device may store the classification model in a data structure. The device may receive a spectroscopic measurement of an unknown sample from a second spectrometer. The device may obtain the classification model from the data structure. The device may classify the unknown sample into a Kosher or non-Kosher group or a Halal or non-Halal group based on the spectroscopic measurement and the classification model. The device may provide information identifying the unknown sample based on the classifying of the unknown sample.