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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 11756389 B1

PDFFull Text
Date of Patent:
Sep. 12, 2023

Filed:

Jan. 08, 2021

System and method for detecting scan and non-scan events in a self check out process

Applicant:

Everseen Limited, Blackpool, IE;

Inventors:

Caius-Ioan Debucean, Timis, RO;

Robert Preda, Arad, RO;

Assignee:

Everseen Limited, Blackpool, IE;

Attorney:

Young Basile Hanlon & MacFarlane, P.C.

Primary Examiner:

Clifford Hilaire

Int. Cl.
CPC ...
G07G 1/00 (2006.01); G06N 3/08 (2023.01); G06Q 20/18 (2012.01); H04N 7/18 (2006.01); G06V 20/52 (2022.01); G06V 20/40 (2022.01); G06V 40/10 (2022.01); G06F 18/214 (2023.01); G06F 18/2415 (2023.01); G06F 18/2431 (2023.01); G06N 7/01 (2023.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 10/147 (2022.01);
U.S. Cl.
CPC ...
G07G 1/0054 (2013.01); G06F 18/214 (2023.01); G06F 18/2415 (2023.01); G06F 18/2431 (2023.01); G06N 3/08 (2013.01); G06N 7/01 (2023.01); G06Q 20/18 (2013.01); G06V 10/147 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/41 (2022.01); G06V 20/46 (2022.01); G06V 20/52 (2022.01); G06V 40/107 (2022.01); G06V 40/11 (2022.01); H04N 7/188 (2013.01); G06V 20/44 (2022.01);
Abstract

A system for detecting scan and non-scan events in a self-check out (SCO) process includes a a scanner for scanning objects and generating point of sale (POS) data, a video camera for generating a video of the scanning region, proximity sensors proximal to the video camera for defining an Area of Action (AoA), wherein the video camera starts capturing scanning region, when the objects enter the AoA, and the POS data includes non-zero values, an Artificial neural network (ANN) for receiving an image frame and generating one or more values, each indicating a probability of classification of the image frame into one or more classes respectively, and a processing unit for processing the POS data, and probabilities of one or more classes to detect a correlation between video data and POS data, and detect one of: scan and non-scan event in the image frame based on the correlation.

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