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:
Sep. 06, 2022

Filed:

May. 04, 2020
Applicant:

Bank of America Corporation, Charlotte, NC (US);

Inventors:

Barry Hall, Charlotte, NC (US);

Adam Desautels, Charlotte, NC (US);

Verlon S. Watson, Charlotte, NC (US);

Letishia R. Hunt, Charlotte, NC (US);

Brendan P. Murphy, Charlotte, NC (US);

Charles Christopher Harbinson, Mooresville, NC (US);

Assignee:

Bank of America Corporation, Charlotte, NC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 20/10 (2012.01); G06F 16/55 (2019.01); G06Q 30/00 (2012.01); G06Q 40/02 (2012.01); G06Q 20/04 (2012.01); G06N 20/00 (2019.01); G06F 40/205 (2020.01); G06K 9/62 (2022.01); G06N 5/04 (2006.01); G06V 30/226 (2022.01); G06V 30/224 (2022.01); G06V 30/10 (2022.01);
U.S. Cl.
CPC ...
G06Q 20/1085 (2013.01); G06F 16/55 (2019.01); G06F 40/205 (2020.01); G06K 9/6256 (2013.01); G06K 9/6267 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 20/042 (2013.01); G06Q 30/0185 (2013.01); G06Q 40/02 (2013.01); G06V 30/226 (2022.01); G06V 30/2253 (2022.01); G06V 30/10 (2022.01);
Abstract

Aspects of the disclosure relate to performing enhanced deposit item processing using cognitive automation tools. In some embodiments, a computing platform may receive, from a deposit item input support server, image data associated with a deposit item. Subsequently, the computing platform may apply a machine learning classification model to the image data associated with the deposit item. In doing so, the computing platform may produce one or more predicted values for one or more fields of the deposit item and one or more confidence scores for the one or more predicted values. Based on these predicted values and confidence scores, the computing platform may generate and send one or more commands directing the deposit item input support server to accept or reject the deposit item, which in turn may cause the deposit item input support server to accept or reject the deposit item.


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