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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 12682334 B1

PDFFull Text
Date of Patent:
Jul. 14, 2026

Filed:

Oct. 11, 2024

Device and method for detecting on product in automatic checkout system, storage medium storing instructions to perform method for detecting on product in automatic checkout system

Applicant:

Research & Business Foundation Sungkyunkwan University, Suwon-si, KR;

Inventors:

Jae Wook Jeon, Suwon-si, KR;

Long Hoang Pham, Suwon-si, KR;

Hyungmin Jeon, Suwon-si, KR;

Duong Nguyen Ngoc Tran, Suwon-si, KR;

Huy-Hung Nguyen, Suwon-si, KR;

Assignee:

Research & Business Foundation SUNGKYUNKWAN UNIVERSITY, Suwon-si, KR;

Attorney:
Primary Examiner:

Florian M Zeender

Assistant Examiner:

Kimberly S. Bursum

Int. Cl.
CPC ...
G06Q 20/20 (2012.01); G06T 7/20 (2017.01); G06V 10/24 (2022.01); G06V 10/25 (2022.01); G06V 10/26 (2022.01); G06V 10/30 (2022.01); G06V 10/774 (2022.01); G06V 20/52 (2022.01); G06V 20/70 (2022.01); G06V 40/20 (2022.01);
U.S. Cl.
CPC ...
G06Q 20/208 (2013.01); G06T 7/20 (2013.01); G06V 10/242 (2022.01); G06V 10/25 (2022.01); G06V 10/273 (2022.01); G06V 10/30 (2022.01); G06V 10/7747 (2022.01); G06V 20/52 (2022.01); G06V 20/70 (2022.01); G06V 40/28 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/30196 (2013.01); G06T 2207/30242 (2013.01);
Abstract

There is provided a method for detecting a product in an automatic checkout system. The method comprises receiving frame images of an automatic checkout counter and preprocessing the received frame images; detecting one or more products in each of the preprocessed frame images using a pre-trained detection model; tracking the one or more products detected in the preprocessed frame images; and counting the one or more detected products based on tracking results for the one or more products.

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