Bank of America Corporation

Other

John Barrett Hall

Kerry Kurt Simpkins

Michael Joseph Pepe

Murali Santhanam

Jeanne M Moulton

Jasher David Fowles

Mark David Felse

Robert E Mills, Jr

David T Frew

Tessa R Cooke

Michele N Hanshew

James Kevin Benton

James N Reid

Sarah Catherine Christine

Dewayne A Furr

Linda B Nipper

Melody Gentile

Linda D Suarez

Darlene D Meunier

Athena Barlow

Debra R Murphy

Susan Deans

Richard A Banks, Jr

Theresa Brennan

Andrew Delker

Deborah A Copes

Charles Christopher Harbinson

Nidhi Pinjani

Bethany M Axtell

Christopher David Greth

Diana Horn

Theresa M Brennan, Jr

Michael J Pepe

Sarah Christine

Milton A Danielson

Lawrence E Fouts

Systems for item validation and image evaluation are provided. In some examples, a system may receive an instrument and associated data. The instrument may be received and at least one of a bill pay profile and a user profile may be retrieved. The bill pay profile and user profile may each include a plurality of previously processed instruments that have been determined to be valid and/or authentic. The instrument may be compared to the plurality of previously processed instruments to determine whether one or more elements of the instrument being evaluated match one or more corresponding elements of the plurality of previously processed instruments. Matching or non-matching elements may be identified. In some examples, one or more user interfaces may be generated displaying the instruments and including any highlighting or enhancements identifying matching or non-matching elements.

Enhanced item validation and image evaluation system

Systems for image evaluation and dynamic cropping are provided. In some examples, a system, may receive an instrument or image of an instrument. Identifying information may be extracted from the instrument or image of the instrument. Based on the extracted identifying information, a check/check image profile may be retrieved. In some examples, expected size and/or shape data may be extracted from the check/check image profile. The extracted expected size and/or shape data may be compared to size and/or shape data from the received instrument or image of the instrument to identify any anomalies (e.g., to determine whether the expected size and/or shape data matches the size and/or shape data of the received instrument or image of the instrument. If the expected size and/or shape data does not match size and/or shape data from the received instrument or image of the instrument, the instrument or image of the instrument may be programmatically modified and a modified image of the instrument may be generated.

Image evaluation and dynamic cropping system

Systems for dynamic unauthorized activity detection are provided. In some arrangements, issue data may be received from, for instance, a customer of an enterprise organization. The issue data may include a data file containing metadata associated with a plurality of checks written or issued by the customer. As those checks are cashed, the checks may be evaluated for potential unauthorized activity. Accordingly, check data and/or check image data may be received by the enterprise organization. The check and/or check image data, as well as the metadata, may be analyzed using machine learning to determine whether unauthorized or potential unauthorized activity has occurred. Based on the determination, one or more actions may be identified and executed.

Dynamic unauthorized activity detection

Systems for profile management and control are provided. A system may receive an instrument or image of an instrument. In some examples, data may be extracted from the instrument or image of the instrument and a document profile may be retrieved based on the extracted data. Images within the document profile may be evaluated to identify a type of document for each document. In some examples, a total number of documents of each type may be determined or identified. The total number of documents may be compared to a threshold. If the total number of documents is below the threshold, the documents or images in the profile may be maintained. If the total number of documents is at or above the threshold, in some examples, each document may be further evaluated to determine or identify documents or document images for deletion. In some arrangements, the profile may be refreshed and documents or images identified for deletion may be deleted.

Enterprise profile management and control system

Systems for dynamic profile control are provided. A system may receive first check data that may include a number of checks written over a predetermined time period for an account. The first check data may be analyzed to determine the number of checks written in a predetermined time period and the number may be compared to one or more thresholds. Based on the comparison, a first tier level may be identified for the account. A profile record may be generated including a check profile that may include one or more parameters based on the identified first tier level. The system may then build the profile by adding checks to the profile upon determining that the checks meet predefined criteria. After a predetermined time period has expired, the system may process additional data to determine whether the identified tier level and associated parameters should be modified.

Dynamic profile control system

Systems for item validation and image evaluation are provided. In some examples, a system may receive an instrument and associated data. The instrument may be received and a user profile may be retrieved. The user profile may include a plurality of previously processed instruments that have been determined to be valid and/or authentic. The instrument may be compared to the plurality of previously processed instruments to determine whether one or more elements of the instrument being evaluated match one or more corresponding elements of the plurality of previously processed instruments. Matching or non-matching elements may be identified. In some examples, one or more user interfaces may be generated displaying the instruments and including any highlighting or enhancements identifying matching or non-matching elements.

Item validation and image evaluation system

Aspects of the disclosure relate to enhanced check processing systems with improved check validation features and enhanced information security. A computing platform may determine whether a correlation between source data and metadata associated with a check exceeds a predetermined correlation threshold. Based on determining that the correlation does not exceed the predetermined correlation threshold, the computing platform may direct an OCR computing system to perform character recognition on the check. Then, the computing platform may determine whether a discrepancy between the metadata and an OCR output from the OCR computing system exceeds a predetermined resolution threshold. In response to determining that the discrepancy between the OCR output and the metadata does not exceed the predetermined resolution threshold, the computing platform may update stored records associated with the check. Subsequently, the computing platform may direct a DDA computing system to post a corrected payment associated with the check.

Automated check encoding error resolution

Embodiments of the present invention provide apparatuses and methods that help validate and process payment instruments for different products, such as but not limited to credit card payments, mortgage payments, or any other type of payment. The payment amount from a payment instrument may be determined from a multiple locations on the payment instrument. In addition, a payment amount may be determined from a remittance document that accompanies the payment instrument, such as a remittance coupon that is mailed along with a check. The amount in the remittance courtesy box, the minimum amount due, the last payment made, and the full balance remaining may all be captured and used to validate the amount on the payment instrument. Moreover, one or more confidence scores for the amounts on the payment instrument and remittance document may be used to validate the payment amount.

Payment instrument validation and processing

Item validation and image evaluation system with feedback loop

Systems for controlling scanning devices and capturing image data are provided. In some examples, image data may be received by a computing platform. The image data may be received via a first network and from another computing platform in wired communication with a scanning device. In some arrangements, image quality analysis may be performed and data may be extracted from the image data. The results of the data analysis, as well as the image data and extracted data may be transmitted, via a second network different from the first network, to an associate computing device. In some examples, input received by the associate computing device may be transmitted to the computing platform indicating whether the image is approved or rejected for further processing. If the image is approved, the image data and extracted data may be transmitted, via the second network, to another device for matching and further processing functions.

Dynamic image capture device control system

Systems for dynamic profile control are provided. A system may receive first check data that may include a number of checks written over a predetermined time period for an account, or the like. The first check data may be analyzed to determine a number of checks written in a predetermined time period and the volume or number may be compared to one or more thresholds or ranges. Based on the comparison, a first tier level may be identified for the account or the like. A profile record may be generated including a check profile that may include one or more parameters determined based on the identified first tier level. The system may then build the profile by adding checks or other documents to the profile upon determining that the checks or other documents meet predefined criteria. After a predetermined time period has expired, the system may process additional data to determine whether the identified tier level and associated parameters should be modified.

Growing community of inventors

Charlotte, NC, United States of America

John Barrett Hall