Bank of America Corporation

Verlon Safold Watson, Iii

Eric Dryer

Shawn Cart Gunsolley

Piotr Zupinski

Clarence Edward Lee, Ii

Douglas Scott Wilson

Michael Greig Stoll

Mary Jo Stuart

Ronald E Meharg

Jordan Josiah Conklin

Melanie Woodworth

James Joseph Clementi

Charles Christopher Harbinson

Adam Nathaniel Desautels

Letishia Renee Hunt

Coty Tyler Cherrix

Collin Jarel Cacho Lenon

Kyaw Htet Kyi

William D Arthur

Brigitte Marie Doughty

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

An ATM exception handler automatically handles certain forms of exceptions. The exception handler receives messages indicating amounts of cash counted and amounts of cash shown at different ATMs. If exceptions are indicated by these messages, the exception handler attempts to reconcile exceptions with each other depending on several factors, such as, the servicer of the ATMs and day of servicing.

Automated exception handling for automatic teller machines

A system is configured for detecting errors in an ATM. The system includes a processor that receives a withdrawal request from a user to receive cash from a cash dispenser of the ATM. Currency denominations and a number of bills for each currency denomination needed to fulfill the withdrawal request is determined. The system sends signal commands to cassettes of the ATM to dispense bills to fulfill the withdrawal request. A camera is positioned in a pathway of the bills being dispensed from the cassettes to the cash dispenser. The camera captures images of bills being dispensed from the cassettes and sends them to the processor. The processor generates an alert if a number of bills dispensed from at least one cassette does not match a corresponding number of bills expected to be dispensed from the at least one cassette.

Image processing system and method for detecting errors in an ATM terminal

A system is configured for detecting errors in an ATM. The system includes a processor that receives a withdrawal request from a user to receive cash from a cash dispenser of the ATM. Currency denominations and a number of bills for each currency denomination needed to fulfill the withdrawal request is determined. The expected cash to be dispensed from the ATM is a sum of multiplications of each currency denomination with its number of bills. The system sends signal commands to cassettes of the ATM to dispense bills to fulfill the withdrawal request. A camera is positioned in a pathway of the bills being dispensed from the cassettes to the cash dispenser. The camera captures images of bills being dispensed from the cassettes and sends them to the processor. The processor generates an alert if the actual dispensed cash from the cassettes does not match the expected cash.

In some embodiments, one or more processors receive a financial instrument via an interface. The financial instrument indicates attributes of a financial transaction. The processors determine, based on one or more of the attributes, whether the financial transaction involves a cross border exchange. If the financial transaction involves a cross border exchange, the processors flag the financial instrument accordingly, perform a currency conversion, and communicate an electronic image associated with the financial instrument to computing resources configured to complete the financial transaction electronically without having to transport a paper copy of the financial instrument between financial institutions.

Cross border image exchange

Aspects of the disclosure relate to live reporting of check image keying issues. A computing platform may receive a first dataset and may transmit a first set of instructions for triggering transaction balancing and the first dataset to a first client computer system. Subsequently, the computing platform may receive from the first client computer system, a request to report an issue. Responsive to receiving the request to report an issue, the computing platform may receive from the first client computer a second dataset relating to the issue. Subsequently, the computing platform may generate, based on the first dataset and second dataset, an issue record, and may store the issue record in a second database. Then, the computing platform may transmit, via the communication interface, a second set of instructions for triggering issue investigation and the issue record relating to the issue to a second client computer system.

Live reporting of check image keying issues

A network interface receives transaction information. A processor determines private information and public information from the received transaction information. The network interface communicates the private information to an obfuscation engine, and receives obfuscated private information. The processor then merges the obfuscated private information with the public information to create a temporary identifier, and then converts the temporary identifier into a transaction identifier. A printer then prints a portion of the public information and the transaction identifier on a transaction receipt.

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Charlotte, NC, United States of America

Verlon Safold Watson, Iii