System and method for real-time non-invasive estimation of food quality within enclosed package

Patent metadata

Field	Value
Publication number	US-2022120703-A1
Application number	US-202117451451-A
Country	US
Kind code	A1
Filing date	Oct 19, 2021
Priority date	Oct 20, 2020
Publication date	Apr 21, 2022
Grant date	—

Abstract

This disclosure relates generally to a system and method for real-time non-invasive estimation of food quality within enclosed package. Existing works utilize invasive methods that require direct contact of the food item with the sensors. In the present disclosure, a potential is applied over a plurality of frequencies through the food item contained the enclosed package which includes a plurality of polyethylene layers and a conducting layer arranged between two adjacent polyethylene layers using electrochemical impedance spectroscopy. Values of electrical voltages and the electrical impedances of the food item are then obtained. A plurality of features is derived from the obtained values of the electrical voltages and the electrical impedances using a trained model. The present disclosure estimates the quality of the food item in real-time by co-relating the plurality of derived features with the quality of the food item contained inside the enclosed package.

First claim

What is claimed is:

1 . A processor-implemented method, comprising:
applying, via one or more hardware processors, a potential over a plurality of frequencies through a food item contained inside an enclosed package using electrochemical impedance spectroscopy; obtaining, via the one or more hardware processors, values of electrical voltages and electrical impedances of the food item as a function of frequency of the applied potential; deriving, using a trained model via the one or more hardware processors, a plurality of features from the values of the electrical voltages and the electrical impedances obtained, wherein the trained model is trained on an impedance spectrum and a voltage spectrum data obtained by varying the frequency over a range of voltages to characterize the food item and correlate with quality; and estimating, via the one or more hardware processors, the quality of the food item in real-time by co-relating the plurality of derived features with the quality of the food item contained inside the enclosed package.

2 . The method of claim 1 , wherein the enclosed package comprises of a plurality of layers which includes a plurality of polyethylene layers and a conducting layer arranged between two adjacent polyethylene layers.

3 . The method of claim 2 , wherein the conducting layer comprised in the enclosed package further comprises of functionalized micro-electrodes configured therein to determine the variation in applied potential over the plurality of frequencies associated with the food item.

4 . A system, comprising:
a memory storing instructions; one or more communication interfaces; and one or more hardware processors coupled to the memory via the one or more communication interfaces, wherein the one or more hardware processors are configured by the instructions to: apply, a potential over a plurality of frequencies through a food item contained inside an enclosed package using electrochemical impedance spectroscopy; obtain, values of electrical voltages and electrical impedances of the food item as a function of frequency of the applied potential; derive, using a trained model, a plurality of features from the values of the electrical voltages and the electrical impedances obtained, wherein the trained model is trained on an impedance spectrum and a voltage spectrum data obtained by varying the frequency over a range of voltages to characterize the food item and correlate with quality; and estimate, the quality of the food item in real-time by correlating the plurality of derived features with the quality of the food item contained inside the enclosed package.

5 . The system of claim 4 , wherein the enclosed package comprises of a plurality of layers which includes a plurality of polyethylene layers and a conducting layer arranged between two adjacent polyethylene layers.

6 . The system of claim 5 , wherein the conducting layer comprised in the enclosed package further comprises of functionalized micro-electrodes configured therein to determine the variation in applied potential over the plurality of frequencies associated with the food item.

7 . One or more non-transitory machine-readable information storage mediums comprising one or more instructions which when executed by one or more hardware processors cause:
applying, a potential over a plurality of frequencies through a food item contained inside an enclosed package using electrochemical impedance spectroscopy; obtaining, values of electrical voltages and electrical impedances of the food item as a function of frequency of the applied potential; deriving, using a trained model, a plurality of features from the values of the electrical voltages and the electrical impedances obtained, wherein the trained model is trained on an impedance spectrum and a voltage spectrum data obtained by varying the frequency over a range of voltages to characterize the food item and correlate with quality; and estimating, the quality of the food item in real-time by co-relating the plurality of derived features with the quality of the food item contained inside the enclosed package.

8 . The one or more non-transitory machine readable information storage mediums of claim 7 , wherein the enclosed package comprises of a plurality of layers which includes a plurality of polyethylene layers and a conducting layer arranged between two adjacent polyethylene layers.

9 . The one or more non-transitory machine readable information storage mediums of claim 8 , wherein the conducting layer comprised in the enclosed package further comprises of functionalized micro-electrodes configured therein to determine the variation in applied potential over the plurality of frequencies associated with the food item.

Assignees

• Tata Consultancy Services Ltd

Inventors

• Deshpande Parijat
• Dutta Jayita
• Rai Beena

Classifications

• G01N33/14

  Beverages · CPC title

• G01N33/143

  containing sugar · CPC title

• G01N27/026 Primary

  Dielectric impedance spectroscopy (electrochemical impedance spectroscopy for measuring corrosion G01N17/02) · CPC title