Aroma detection systems for food and beverage and conversion of detected aromas to natural language descriptors
AssigneesUT-Battelle, LLC, University of Tennessee Research Foundation, Oak Ridge Associated Universities, Inc.
InventorsIlia N. Ivanov, Eric S. Muckley, Reinaldo C. Reina
Life of this patent
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Abstract
A system for determining an age and/or quality of food or beverage based on one or more combinations of outputs from gas sensors input into a deployed machine learning model is provided. The system may comprise an electronic nose which may comprise a housing and the gas sensors. The housing may have an air channel. Each sensor has its active sensor portion in the air channel. A system for predicting one or more natural language descriptors associated with aromas of an item based on one or more outputs of the gas sensors and calculated one or more ratios input into a logistic regression model is also provided.
Claims20
A system for determining an age and/or quality of food or beverage comprising:
- an electronic nose (e-nose) comprising:
- a housing having openings on corresponding ends thereof to enable air flow, the housing having an air channel for air to flow between the ends;
- a plurality of thin film gas sensors, each having an active sensor portion in the air channel;
- at least one of an identification scanner configured to read an identification code of a food or beverage, a touch panel configured to receive user input identifying the food or beverage or an image processor configured to analyze an acquired image of the food or beverage and identify the food or beverage;
- a processor configured to:
- supply power to the plurality of thin film gas sensors to bias the sensors and receive output from each of the plurality of thin film gas sensors;
- predict the age and/or quality of the food or beverage based on one or more combinations of outputs from the plurality of thin film gas sensors and a deployed machine learning model;
- and
- issue a notification of the determination.
A system for predicting one or more natural language descriptors associated with aromas of an item comprising:
- an electronic nose (e-nose) comprising:
- a housing having openings on corresponding ends thereof to enable air flow, the housing having a pipe extending between the corresponding ends, the pipe forming an air channel for air to flow, the pipe having a plurality of supports,
- a plurality of thin film gas sensors, the plurality of thin film gas sensors mounted to the plurality of supports, respective, such that each sensor is substantially orthogonal to air flow;
- a processor configured to:
- supply power to the plurality of thin film gas sensors to bias the sensors and receive output from each of the plurality of thin film gas sensors;
- calculate one or more ratios of the outputs of the plurality of thin film gas sensors;
- predict the one or more natural language descriptors using a logistic regression model and as input one or more outputs of the plurality of thin film gas sensors and the calculated one or more ratios;
- and
- output results of the prediction.
Dependencies are inferred from the claim text.