IP Library Granted Patent US 10,359,381
Granted Patent B2
US 10,359,381 · App. 15/918,936 · Granted Jul 23, 2019

Methods and systems for determining an internal property of a food product

Inventors: Steven Lewis (Bentonville, AR); Matthew Biermann (Fayetteville, AR); Suman Pattnaik (Bentonville, AR)
Assignee: WALMART APOLLO, LLC
G01N27/02G01N33/12G01R27/16
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Quick Facts
Patent No.
US 10,359,381
App. No.
15/918,936
Granted
Jul 23, 2019
Kind
B2
Abstract

Systems and methods are provided to determine an internal property of a food product. The system includes one or more analyzing devices, a camera and a central unit in communication with the camera and analyzing device. The analyzing device is configured to analyze an interior region of the food product. The camera is configured to analyze an external property of the food product. The central unit is configured to determine the internal property of the food product based on feedback provided by the analyzing device and the camera.

Claims (71)

1. A system for determining internal properties of a food product, the system comprising:

one or more analyzing devices which analyze an interior region of said food product, the one or more analyzing devices comprising a probe;

a camera which captures an image of an external property of said food product;

a display device; and

a central unit in communication with the camera and the analyzing device,

wherein:

the probe comprises a first and second electrode, and wherein the central unit applies a current to the first and second electrode to measure an impedance across the first and second electrodes;

the central unit determines said internal properties of said food product based on the impedance measured by said analyzing device and the image of said camera;

the internal properties comprise:

time of receipt of the food product;

purchase time from the time of receipt;

overall color at a point of receipt;

overall frequency of response sound to ultra violet emission;

overall weight;

processing type; and

parameters comprising packaging, route to store, and placement in store;

the central unit performs a regression analysis on the internal properties for a number of customer transactions to determine a model expression related to quality of the food product; and

the display device displays the internal properties.

2. The system of claim 1 , wherein the analyzing device comprises a handle for a user to insert said probe into said interior region of said food product.

3. The system of claim 1 , wherein the analyzing device comprises an ultrasound device capable of providing an image of said interior region of said food product.

4. The system of claim 1 , wherein the display device is in communication with said central unit and presents information relating to said food product to a user.

5. The system of claim 1 , additionally comprising:

a server, in communication with the central unit, which stores an internal and external property of each of a plurality of food products,

wherein the central unit determines said internal property of said food product by comparing said impedance measured by said analyzing device and said images of said camera to the internal and external properties of said food product stored in said server.

6. The system of claim 5 , additionally comprising:

a scale in communication with the central unit, the scale determining a weight of said food product,

wherein the central unit determines an identity of said food product based on the weight of said food product and the image received from the camera.

7. The system of claim 6 , wherein said scale is part of said central unit, and wherein said analyzing device is electronically connected to said central unit.

8. The system of claim 7 , wherein said analyzing device is electrically connected to said central unit via a wire.

9. The system of claim 1 , wherein the food product is a fruit, vegetable, meat or seafood.

10. The system of claim 1 , wherein the internal property of the food product comprises one or more of protein content, fat content, seed content, water content and degree of ripeness.

11. The system of claim 1 , wherein the external property of said food product comprises one or more of a color, a shape, a size and a texture.

12. A system for determining internal properties of a food product, the system comprising:

one or more analyzing devices comprising a probe configured to be inserted into the food product, wherein the probe comprises a first and second electrode;

a scale which measures a weight of said food product;

a camera which captures an image of an external property of said food product;

a display; and

a central unit in communication with the analyzing device, the scale and the camera, wherein:

the central unit applies a current to the first and second electrode;

the central unit measures an impedance across the first and second electrode while the current is applied,

the central unit determines said internal properties of said food product based on said impedance and said image, said internal properties comprising:

a time of receipt of the food product;

a purchase time from the time of receipt;

an overall color of the food product at the time of receipt;

an overall frequency of response sound to ultra violet emission;

an overall weight;

a processing type; and

store parameters comprising packaging, a route to a store, and placement;

the central unit performing a regression analysis on the internal properties for a number of customer transactions to determine a model expression related to quality of the food product; and

displaying the internal properties of the food product via the display.

13. The system of claim 12 , wherein the display is in communication with said central unit, and displays information relating to said food product.

14. The system of claim 12 , additionally comprising:

a server in communication with the central unit and storing a plurality of internal and external properties of each of a plurality of food products,

wherein the central unit determines said internal properties of said food product by comparing said impedance and said external property of said food product to the plurality of internal and external properties of said food product stored in said server.

15. The system of claim 12 , wherein the analyzing device additionally comprises an ultrasound device capable of providing an image of an interior region of said food product.

16. The system of claim 12 , wherein the food product is one of a fruit, vegetable, meat or seafood product.

17. The system of claim 12 , wherein the internal property of the food product comprises one or more of protein content, fat content, seed content, water content and degree of ripeness.

18. The system of claim 12 , wherein the external property of said food product comprises one or more of a color, a shape, a size and a texture.

19. A method comprising the steps of:

capturing an image of a food product to analyze an external property of said food product via a camera;

analyzing an interior region of said food product via one or more analyzing devices;

determining properties of said food product based on feedback of said analyzing device and said camera, the properties including:

time of receipt of the food product;

purchase time from the time of receipt;

overall color at a point of receipt;

overall frequency of response sound to ultra violet emission;

overall weight;

processing type; and

optional packaging, route to store and placement in store parameters;

performing a regression analysis on the properties for a number of customer transactions to determine a model expression related to quality of the food product; and

displaying said properties of said food product via a display.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 9, 2018
From: WAL-MART STORES, INC.
To: WALMART APOLLO, LLC
Reel/Frame 046110/0047 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 19, 2018
From: LEWIS, STEVEN; BIERMANN, MATTHEW; PATTNAIK, SUMAN
To: WAL-MART STORES, INC.
Reel/Frame 045264/0939 →
Continuity (2)
Provisional Application 62470005 · Mar 10, 2017
Related Publication 20180259469A1 · Sep 13, 2018