Spectroscopic classification of conformance with dietary restrictions
AssigneeViavi Solutions Inc.
InventorsNada A. O'Brien, Changmeng Hsiung
Life of this patent
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Abstract
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.
Claims20
A method comprising:
- receiving, by a device, results of spectroscopy performed on a training set,
- the training set including:
- a first set of samples of a particular type of food, and
- a second set of samples of the particular type of food,
- the first set of samples complying with particular dietary restrictions, and
- the second set of samples not complying with the particular dietary restrictions;
- generating, by the device and based on the results of spectroscopy performed on the training set, a classification model to categorize an unknown sample;
- and
- providing, by the device, the classification model based on generating the classification model.
A device, comprising:
- one or more memories;
- and
- one or more processors communicatively coupled to the one or more memories, configured to:
- receive results of spectroscopy performed on a training set,
- the training set including:
- a first set of samples of a particular type of food, and
- a second set of samples of the particular type of food,
- the first set of samples complying with particular dietary restrictions, and
- the second set of samples not complying with the particular dietary restrictions;
- generate, based on the results of spectroscopy performed on the training set, a classification model to categorize an unknown sample;
- and
- provide the classification model based on generating the classification model.
A non-transitory computer-readable medium storing instructions, the instructions comprising:
- one or more instructions that, when executed by one or more processors, cause the one or more processors to:
- receive results of spectroscopy performed on a training set,
- the training set including:
- a first set of samples of a particular type of food, and
- a second set of samples of the particular type of food,
- the first set of samples complying with particular dietary restrictions, and
- the second set of samples not complying with the particular dietary restrictions;
- generate, based on the results of spectroscopy performed on the training set, a classification model to categorize an unknown sample;
- provide the classification model based on generating the classification model.
Dependencies are inferred from the claim text.