Aroma detection systems for food and beverage and conversion of detected aromas to natural language descriptors

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, wherein the image processor is configured to receive images of the food or beverage item or combination of items from a plurality of different times, the plurality of different times including a baseline condition, an expired condition and a spoiled condition, and wherein the processor is configured to determine the age of the food or beverage item or combination of items based on a deployed machine learning model determined from the images.

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, wherein the image processor is configured to receive images of the food or beverage item or combination of items from a plurality of different times, the plurality of different times including a baseline condition, an expired condition and a spoiled condition, and wherein the processor is configured to determine the age of the food or beverage item or combination of items based on a deployed machine learning model determined from the images and received output from the plurality of thin film gas sensors for the food or beverage item or combination of items from different times.