US 12,235,932 B2
System and method for refining an item identification model based on feedback
Sumedh Vilas Datar, Grapevine, TX (US); Sailesh Bharathwaaj Krishnamurthy, Irving, TX (US); Shantanu Yadunath Thakurdesai, Denton, TX (US); and Shahmeer Ali Mirza, Celina, TX (US)
Assigned to 7-ELEVEN, INC., Irving, TX (US)
Filed by 7-Eleven, Inc., Irving, TX (US)
Filed on Feb. 16, 2024, as Appl. No. 18/444,384.
Application 18/444,384 is a continuation of application No. 17/455,896, filed on Nov. 19, 2021, granted, now 11,960,569.
Application 17/455,896 is a continuation in part of application No. 17/362,261, filed on Jun. 29, 2021, granted, now 11,887,332, issued on Jan. 30, 2024.
Prior Publication US 2024/0193230 A1, Jun. 13, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 18/214 (2023.01); G01G 23/36 (2006.01); G06T 7/194 (2017.01); G06T 7/62 (2017.01); G06T 7/90 (2017.01); G06V 10/44 (2022.01); G06V 10/56 (2022.01); G06V 20/00 (2022.01); H04N 13/207 (2018.01); H04N 13/271 (2018.01); H04N 23/90 (2023.01)
CPC G06F 18/2148 (2023.01) [G01G 23/36 (2013.01); G06T 7/194 (2017.01); G06T 7/62 (2017.01); G06T 7/90 (2017.01); G06V 10/44 (2022.01); G06V 10/56 (2022.01); G06V 20/00 (2022.01); H04N 13/207 (2018.05); H04N 13/271 (2018.05); H04N 23/90 (2023.01); G06T 2207/10024 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20132 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system for refining an item identification model, comprising:
a plurality of cameras, wherein each camera is configured to capture one or more images of at least a portion of a platform;
a memory, operable to store an item identification model, wherein the item identification model is configured to identify an item based at least in part upon an image of the item; and
a processor, operably coupled with the memory, and configured to:
detect a triggering event at the platform;
capture one or more images of the item using at least one of the plurality of cameras;
extract a set of features from at least one of the one or more images, wherein each of the set of features corresponds to a physical attribute of the item;
identify the item based at least in part upon the set of features;
receive an indication that the item is not identified correctly;
receive an identifier of the item;
identify the item based at least in part upon the identifier of the item;
feed the identifier of the item and the one or more images to the item identification model;
retrain the item identification model to learn to associate the item to the one or more images; and
update the set of features based at least in part upon the determined association between the item and the one or more images.