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The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 12039509 B1

PDFFull Text
Date of Patent:
Jul. 16, 2024

Filed:

Aug. 31, 2021

Automated shopping experience using cashier-less systems

Applicant:

Lg Electronics Inc., Seoul, KR;

Inventors:

Jung Ick Guack, Santa Clara, CA (US);

Baisub Lee, Santa Clara, CA (US);

Bhooshan Supe, Santa Clara, CA (US);

Shantanu Patel, Santa Clara, CA (US);

Gaurav Saraf, Santa Clara, CA (US);

Helder Silva, Santa Clara, CA (US);

Julie Huynh, Santa Clara, CA (US);

Jaigak Song, Santa Clara, CA (US);

Amir Hossein Khalili, Santa Clara, CA (US);

Assignee:

LG ELECTRONICS INC., Seoul, KR;

Attorney:

LEE, HONG, DEGERMAN, KANG & WAIMEY

Primary Examiner:

Nathan A Mitchell

Int. Cl.
CPC ...
G06Q 20/20 (2012.01); G01G 19/414 (2006.01); G06F 18/25 (2023.01); G06N 3/02 (2006.01); G06N 20/00 (2019.01); G06Q 10/087 (2023.01); G06T 7/246 (2017.01); G06T 7/73 (2017.01); G06V 20/52 (2022.01); G06V 40/10 (2022.01); G06V 40/16 (2022.01); G06V 40/20 (2022.01); H04N 23/61 (2023.01);
U.S. Cl.
CPC ...
G06Q 20/208 (2013.01); G01G 19/4144 (2013.01); G06F 18/251 (2023.01); G06N 3/02 (2013.01); G06N 20/00 (2019.01); G06Q 10/087 (2013.01); G06Q 20/203 (2013.01); G06T 7/251 (2017.01); G06T 7/73 (2017.01); G06V 20/52 (2022.01); G06V 40/107 (2022.01); G06V 40/161 (2022.01); G06V 40/168 (2022.01); G06V 40/172 (2022.01); G06V 40/28 (2022.01); H04N 23/61 (2023.01); G06T 2207/10028 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30201 (2013.01); G06T 2207/30232 (2013.01);
Abstract

Disclosed is a method of predicting shopping events. The method includes obtaining a first set of events from a sensor and a second set of events from a camera, wherein the camera captures one or more users in front of a shelf unit; determining whether a first timestamp from the obtained first set of events and a second timestamp from the obtained second set of events are within a same time interval; determining whether a first bin number matches a second bin number based on a determination that the first timestamp and the second timestamp are within the same time interval; and generating a shopping event for a user based on a determination that the first bin number matches the second bin number, wherein the user is associated with at least one of the obtained first set of events and the second set of events.

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