Systems and methods for scanning information from storage area contents

• US 10,239,094 B2
• Filed: 02/26/2018
• Issued: 03/26/2019
• Est. Priority Date: 12/10/2004
• Status: Active Grant

• Current Assignee: Freshub Ltd. (IKAN Holdings LLC)
• Original Assignee: IKAN Holdings LLC
• Inventors: Zsigmond, Fabio, Douer, Sion Elie, Yoshizawa, Geraldo, Wagner, Frederico
• Primary Examiner(s): Rudy, Andrew Joseph
• Application Number:
  US15/905,591
• Publication Number:
  US 20180178254A1
• Time in Patent Office: 393 Days
• Field of Search: 705 39, 705 28- 30, 4554141, 4555561, 4551501, 455405, 455406, 709204, 709217-219, 704231, 704258, 704266, 704268, 7042701, 379 881, 379 8816, 37911401, 379219
• CPC Class Codes: B07C 5/34 Sorting according to other particular properties material testing per se G01N; quality control G07C3/14
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
• CPC Class Codes: H04M 1/6505 storing speech in digital form
• CPC Class Codes: H04M 3/533 Voice mail systems

Abstract

The present invention is related to methods and systems for collected item information for stored items. In one embodiment, a networked food storage system comprises a first sensor configured to read information from item tags coupled to items, wherein the items are stored or intended to be stored in a storage unit. A data store is configured to store food preferences for at least a first user. Instructions, stored in computer readable memory, are configured to: cause a first user interface to be displayed to the first user via which the first user can request a meal suggestion; retrieve preference information for the first user from computer readable memory; retrieve information read from at least a first item tag; and provide a meal suggestion based at least in part on preference information for the first user and item tag information.

Claims

1. A computer-implemented method, the method comprising:

receiving over a network at a first computer system, using a network interface, a digitized spoken user order from a second computer system,

the second computer system comprising;

a microphone, a wireless network interface, and a digitizer coupled to the microphone, wherein the digitizer is configured to convert spoken words into a digital representation, and the second computer system is configured to transmit the digital representation over the network to the first computer system;

translating, using a translation module executed by the second computer system, at least a portion of the digitized spoken order to text;

matching the text, translated from the digitized spoken order, to text descriptions of items, wherein the text descriptions of items are stored in a data store;

based on at least an identified match, identifying a corresponding item;

adding the identified corresponding item to a list associated with the user; and

enabling the list, including the identified item, to be displayed to the user via a user display.

2. The computer-implemented method as defined in claim 1, wherein the second computer system further comprises a voice output system.

3. The computer-implemented method as defined in claim 1, wherein enabling the list, including the identified item, to be provided via a user display, further comprises causing the item identification to be provided to the second user device via a website.

4. The computer-implemented method as defined in claim 1, the method further comprising causing the list to be provided to the user via a telephone.

5. The computer-implemented method as defined in claim 1, wherein enabling the list, including the identified item, to be provided via a user display, further comprises causing the list to be provided to the user via a short messaging system.

6. The computer-implemented method as defined in claim 1, wherein identifying an item corresponding to the text further comprises placing more weight on words in the digitized order related to the user'"'"'s past purchase history when identifying the item corresponding to the text.

7. The computer-implemented method as defined in claim 1, wherein identifying an item corresponding to the text further comprises utilizing a location of the user in identifying the item corresponding to the text.

8. The computer-implemented method as defined in claim 1, wherein identifying an item corresponding to the text further comprises utilizing preferences of the user in identifying the item corresponding to the text.

9. The computer-implemented method as defined in claim 1, the method further comprising enabling the user to add a reminder with respect to at least one item.

10. The computer-implemented method as defined in claim 1, the method further comprising identifying a SKU that corresponds to the identified item.

11. The computer-implemented method as defined in claim 1, wherein the digitized order comprises an item name.

12. The computer-implemented method as defined in claim 1, wherein the digitized order from the user is recorded at least partly in response to a verbal user command.

13. The computer-implemented method as defined in claim 1, wherein the digitized user order is received immediately from the second computer system after the user speaks the order.

14. The computer-implemented method as defined in claim 1, wherein the second computer system comprises a refrigerator.

15. The computer-implemented method as defined in claim 1, wherein the second computer system is configured to be wall mounted.

16. The computer-implemented method as defined in claim 1, the method further comprising associating a unique identifier with the second computer system.

17. The computer-implemented method as defined in claim 1, the method further comprising transmitting at least a portion of the translated spoken order to an item provider.

18. The computer-implemented method as defined in claim 1, wherein the second computer system is configured with a camera, the method further comprising:

receiving at the first computer system an image captured by the camera of the second computer system;

performing image recognition on an item in the received image and identifying the item in the received image; and

enabling the user to order the item in the received image.

19. The computer-implemented method as defined in claim 1, the method further comprising:

receiving the digitized user order from the second computer system immediately when the user speaks the order;

recording the digitized user order from the user;

utilizing grammar constrained recognition and/or natural language recognition in translating at least a portion of the digitized spoken order to text;

enabling the list to be provided to the user via a website;

enabling the list to be provided to the user via a telephone;

enabling the user to edit the list; and

enabling the user to place an order for items on the list.

20. A voice processing system comprising:

a first computer;

a network interface;

non-transitory memory that stores instructions that when executed by the first computer cause the first system to perform operations comprising;

receive over a network, using a network interface, a digitized spoken user order from a remote system,

the remote system comprising;

a microphone, a wireless network interface, and a digitizer coupled to the microphone, wherein the digitizer is configured to convert spoken words into a digital representation, and the second computer system is configured to transmit the digital representation over the network to the first computer system;

translate at least a portion of the digitized spoken order to text;

match the text, translated from the digitized spoken order, to text descriptions of items, wherein the text descriptions of items are stored in a data store;

based on at least an identified match, identify a corresponding item;

include the identified corresponding item in a list associated with the user; and

enable the list, including the identified item, to be displayed to the user via a user display.

21. The voice processing system as defined in claim 20, wherein identification of an item corresponding to the text further comprises placing more weight on words in the digitized order related to the user'"'"'s past purchase history when identifying the item corresponding to the text.

22. The voice processing system as defined in claim 20, wherein identification of an item corresponding to the text further comprises utilizing a location of the user in identifying the item corresponding to the text.

23. The voice processing system as defined in claim 20, wherein identification of an item corresponding to the text further comprises utilizing preferences of the user in identifying the item corresponding to the text.

24. The voice processing system as defined in claim 20, the operations further comprising:

record the digitized user order from the user;

utilize grammar constrained recognition and/or natural language recognition in translating at least a portion of the digitized spoken order to text;

enable the list to be provided to the user via a website;

enable the list to be provided to the user via a telephone;

enable the user to edit the list; and

enable the user to place an order for items on the list.