Bank of America Corporation

Adam Nathaniel Desautels

Shawn Cart Gunsolley

Erin Cassell

Charles Christopher Harbinson

Marshall Bright Thompson

Letishia Renee Hunt

Jeffrey Scott Poore

Siva Shankar Potla

Verlon Safold Watson, Iii

Ryan Muzzo

Frank J Yanan

Brendan P Murphy

Coty Tyler Cherrix

Verlon S Watson

Taylor Herren

Eric Emanuelson

Sara Roper

Barry Hall

Brigitte Marie Doughty

Collin Jarel Cacho Lenon

Kyaw Htet Kyi

Apparatus and methods for root-level enforcement of quick response ('QR') code validation are provided. The apparatus may include a QR code reader for receiving an instruction from a user to scan a QR code and transmitting a request to an operating system (“OS”) running on the apparatus to instruct a camera to capture an image. The apparatus may include an operating system configured to receive the image from the camera and store the image in a temporary cache. While the image is stored in the temporary cache, the operating system may transmit the image to a QR code validator to decode a QR code included in the image and execute a routine to validate a URL included in the QR code. The image may only be transmitted back to the QR code reader by the OS when the URL was validated by the routine.

Protected QR code scanner using operational system override

A system is provided for file capture and in-line error correction. The system comprises: a controller configured to capture and process a file during a file capture sequence comprising one or more capture events, the controller being configured to: capture a file using a file capture device associated with a user device, wherein capturing the file comprises receiving a file image and a user input data field associated with the file; identify, using an in-line file analysis module, an error with a capture event during the file capture sequence, wherein the error is a discrepancy identified between the user input data field and an image-derived data field; correct the error in the file before the file capture sequence is completed and the file is exported; and export the file, wherein the file capture sequence is completed.

File capture and processing system with in-line error detection

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.

Performing enhanced deposit item processing using cognitive automation tools

Embodiments enable distributed data processing with automatic caching at multiple system levels by accessing a master queue of data processing work comprising a plurality of data processing jobs stored in a long term memory cache; selecting at least one of the plurality of data processing jobs from the master queue of data processing work; pushing the selected data processing jobs to an interface layer including (i) accessing the selected data processing jobs from the long term memory cache; and (ii) saving the selected data processing jobs in an interface layer cache of data processing work; and pushing at least a portion of the selected data processing jobs to a memory cache of a first user system for minimizing latency in user data processing of the pushed data processing jobs.

System for distributed data processing with automatic caching at various system levels

System for distributed data processing with auto-recovery

Growing community of inventors

Charlotte, NC, United States of America

Adam Nathaniel Desautels