US 11,749,072 B2
Varied detail levels of shopping data for frictionless shoppers
Youval Bronicki, Los Altos, CA (US)
Assigned to Trax Technology Solutions Pte Ltd., Singapore (SG)
Filed by TRAX TECHNOLOGY SOLUTIONS PTE LTD., Singapore (SG)
Filed on Sep. 13, 2022, as Appl. No. 17/931,565.
Application 17/931,565 is a continuation of application No. 17/562,225, filed on Dec. 27, 2021, granted, now 11,475,742.
Application 17/562,225 is a continuation of application No. PCT/US2021/054489, filed on Oct. 12, 2021.
Claims priority of provisional application 63/113,490, filed on Nov. 13, 2020.
Claims priority of provisional application 63/091,009, filed on Oct. 13, 2020.
Prior Publication US 2023/0005343 A1, Jan. 5, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G07G 1/00 (2006.01); G06Q 30/0601 (2023.01); G06V 20/40 (2022.01); G06V 20/52 (2022.01); G06V 40/10 (2022.01); G06Q 20/20 (2012.01); G06V 10/764 (2022.01); G06Q 30/02 (2023.01); G06Q 20/40 (2012.01); G06V 40/16 (2022.01); G06Q 20/14 (2012.01); G06V 40/20 (2022.01); G01G 19/414 (2006.01); G01G 19/52 (2006.01); G08B 5/36 (2006.01)
CPC G07G 1/0063 (2013.01) [G06Q 20/145 (2013.01); G06Q 20/204 (2013.01); G06Q 20/208 (2013.01); G06Q 20/4016 (2013.01); G06Q 20/40145 (2013.01); G06Q 30/0281 (2013.01); G06Q 30/0609 (2013.01); G06Q 30/0613 (2013.01); G06Q 30/0617 (2013.01); G06Q 30/0623 (2013.01); G06Q 30/0633 (2013.01); G06Q 30/0635 (2013.01); G06Q 30/0639 (2013.01); G06V 10/764 (2022.01); G06V 10/765 (2022.01); G06V 20/44 (2022.01); G06V 20/52 (2022.01); G06V 40/103 (2022.01); G06V 40/172 (2022.01); G06V 40/20 (2022.01); G01G 19/4144 (2013.01); G01G 19/52 (2013.01); G08B 5/36 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A non-transitory computer-readable medium including instructions that when executed by at least one processor cause the at least one processor to perform a method for controlling a detail level of shopping data provided to frictionless shoppers, the method comprising:
receiving image data captured using one or more image sensors in a retail store;
receiving sensor data captured using one or more shelf sensors disposed on one or more shelves in the retail store, the sensor data reflecting an addition of a product or a removal of the product from the one or more shelves by shopper;
analyzing the image data to detect the shopper in the retail store;
analyzing the image data and the sensor data using a trained machine learning model to determine a likelihood that the shopper will be involved in shoplifting; and
controlling a detail level associated with frictionless shopping data displayed to the shopper in the retail store based on the determined likelihood that the shopper will be involved in shoplifting.