Identifying items in images

Patent metadata

Field	Value
Publication number	US-11200614-B2
Application number	US-202016841922-A
Country	US
Kind code	B2
Filing date	Apr 7, 2020
Priority date	Sep 4, 2015
Publication date	Dec 14, 2021
Grant date	Dec 14, 2021

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using location data to identify and provide services in association with items appearing in captured images. One of the methods includes receiving, from a device, an image and location data representing the device's physical location, determining, based on the location data, that a particular set of one or more locations are within a threshold distance of the device's physical location, accessing, for each of the one or more locations in the particular set, item information that indicates one or more items that are associated with the location, determining, based on the accessed item information, that the image likely shows a particular item that is associated with one or more locations in the particular set, and providing, to the device, instructions for presentation of information about (i) the particular item and (ii) one or more locations in the particular set that are associated with the particular item.

First claim

What is claimed is:

1. A computer-implemented method comprising:
receiving data that indicates that a theme park visitor is likely interested in purchasing a particular item within a theme park;
identifying multiple physical locations within the theme park where the particular item may be obtained;
selecting a particular one of the multiple physical locations based on (i) a location of a parked vehicle that belongs to the theme park visitor and that is parked in a parking lot or garage outside of the theme park where the theme park visitor is visiting or (ii) which theme park hotel outside of the theme park that the user is staying; and
providing, to the theme park visitor, a results page that identifies the selected, particular one of the physical locations within the theme park where the particular item may be obtained.

2. The method of claim 1 , wherein the particular one of the multiple physical locations is selected further based on an algorithm for reducing crowding at the physical locations.

3. The method of claim 1 , wherein the particular one of the multiple physical locations is selected further based on an algorithm for distributing theme park visitors.

4. The method of claim 1 , wherein the particular one of the multiple physical locations is selected further based on data indicating whether the particular item is available for delivery to a location where the theme park vehicle has parked a vehicle, or a particular entrance used by the theme park visitor to enter the theme park, by a respective agent associated with each of the multiple physical locations.

5. The method of claim 1 , wherein the particular one of the multiple physical locations is selected further based on a theme park itinerary for the theme park visitor.

6. The method of claim 1 , wherein the particular one of the multiple physical locations is selected further based on a predicted line waiting time associated with each of the multiple physical locations.

7. The method of claim 1 , wherein the particular one of the multiple physical locations is selected further based on a theme park ride reservation time associated with the theme park visitor.

8. A system comprising:
one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising:
receiving data that indicates that a theme park visitor is likely interested in purchasing a particular item within a theme park;
identifying multiple physical locations within the theme park where the particular item may be obtained;
selecting a particular one of the multiple physical locations based on (i) a location of a parked vehicle that belongs to the theme park visitor and that is parked in a parking lot or garage outside of the theme park where the theme park visitor is visiting or (ii) which theme park hotel outside of the theme park that the user is staying; and
providing, to the theme park visitor, a results page that identifies the selected, particular one of the physical locations within the theme park where the particular item may be obtained.

9. The system of claim 8 , wherein the particular one of the multiple physical locations is selected further based on an algorithm for reducing crowding at the physical locations.

10. The system of claim 8 , wherein the particular one of the multiple physical locations is selected further based on an algorithm for distributing theme park visitors.

11. The system of claim 8 , wherein the particular one of the multiple physical locations is selected further based on data indicating whether the particular item is available for delivery to a location where the theme park vehicle has parked a vehicle, or a particular entrance used by the theme park visitor to enter the theme park, by a respective agent associated with each of the multiple physical locations.

12. The system of claim 8 , wherein the particular one of the multiple physical locations is selected further based on a theme park itinerary for the theme park visitor.

13. The system of claim 8 , wherein the particular one of the multiple physical locations is selected further based on a predicted line waiting time associated with each of the multiple physical locations.

14. The system of claim 8 , wherein the particular one of the multiple physical locations is selected further based on a theme park ride reservation time associated with the theme park visitor.

15. A computer program product encoded on one or more non-transitory computer storage media, comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising:
receiving data that indicates that a theme park visitor is likely interested in purchasing a particular item within a theme park;
identifying multiple physical locations within the theme park where the particular item may be obtained;
selecting a particular one of the multiple physical locations based on (i) a location of a parked vehicle that belongs to the theme park visitor and that is parked in a parking lot or garage outside of the theme park where the theme park visitor is visiting or (ii) which theme park hotel outside of the theme park that the user is staying; and
providing, to the theme park visitor, a results page that identifies the selected, particular one of the physical locations within the theme park where the particular item may be obtained.

16. The product of claim 15 , wherein the particular one of the multiple physical locations is selected further based on an algorithm for reducing crowding at the physical locations.

17. The product of claim 15 , wherein the particular one of the multiple physical locations is selected further based on an algorithm for distributing theme park visitors.

18. The product of claim 15 , wherein the particular one of the multiple physical locations is selected further based on data indicating whether the particular item is available for delivery to a location where the theme park vehicle has parked a vehicle, or a particular entrance used by the theme park visitor to enter the theme park, by a respective agent associated with each of the multiple physical locations.

19. The product of claim 15 , wherein the particular one of the multiple physical locations is selected further based on a theme park itinerary for the theme park visitor.

20. The product of claim 15 , wherein the particular one of the multiple physical locations is selected further based on a predicted line waiting time associated with each of the multiple physical locations.

Assignees

• Accenture Global Solutions Ltd

Inventors

• Short Matthew Thomas
• Hamilton Mary Elizabeth
• Dooley Robert
• Nguyen David T
• Dang Leeann Chau Tuyet

Classifications

• G06V10/80

  Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level (multimodal speaker identification or verification G10L17/10) · CPC title

• G06F18/25

  Fusion techniques · CPC title

• G06F16/587

  using geographical or spatial information, e.g. location · CPC title

• G06V2201/10

  Recognition assisted with metadata · CPC title

• G06Q50/12

  Hotels or restaurants · CPC title