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.

Date of Patent:
Dec. 17, 2024

Filed:

Mar. 15, 2023
Applicant:

Ncr Voyix Corporation, Atlanta, GA (US);

Inventors:

Malay Kundu, Lexington, MA (US);

Vikram Srinivasan, North Billerica, MA (US);

Joshua Migdal, Wayland, MA (US);

Xiaowei Chen, Billerica, MA (US);

Assignee:

NCR Voyix Corporation, Atlanta, GA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 20/40 (2012.01); G06Q 20/00 (2012.01); G06Q 20/20 (2012.01); G06T 7/00 (2017.01); G06V 20/40 (2022.01); G06V 20/52 (2022.01); G07F 17/32 (2006.01); G07F 19/00 (2006.01); G07G 3/00 (2006.01); H04N 7/18 (2006.01); G08B 13/24 (2006.01);
U.S. Cl.
CPC ...
G06V 20/52 (2022.01); G06Q 20/00 (2013.01); G06Q 20/20 (2013.01); G06Q 20/208 (2013.01); G06Q 20/4016 (2013.01); G06Q 20/403 (2013.01); G06T 7/00 (2013.01); G06V 20/41 (2022.01); G07F 17/3241 (2013.01); G07F 19/207 (2013.01); G07G 3/00 (2013.01); H04N 7/181 (2013.01); G06Q 20/206 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/30232 (2013.01); G06V 20/44 (2022.01); G08B 13/246 (2013.01);
Abstract

A system detects a transaction outcome by obtaining video data associated with a transaction area and analyzing the video data to obtain at least one video transaction parameter concerning transactions associated with the transaction area. The transaction area can be a video count of items indicated in the video data as detected by an automated item detection algorithm applied to the video data. The system obtains at least one expected transaction parameter concerning an expected transaction that occurs in the transaction area, such as a scan count of items scanned at a point of sale terminal. The system automatically compares the video transaction parameter(s) to the expected transaction parameter(s) to identify a transaction outcome that may indicate fraudulent activity such as sweethearting in a retail environment.


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