Capital One Services, LLC

Michael Bakr Mossoba

Joshua S Edwards

Abdelkader M'Hamed Benkreira

Salik Shah

Abdelkader Benkreira

Sarah Jane Cunningham

Latika Gulati

Sophie Bermudez

Tyler Maiman

Colin Hart

Kaitlin J Newman

Jeffrey Rule

Alexandra Colevas

Wayne David Lutz

Ljubica Chatman

Lara Mossler

Charles Nathan Crank

Kimberly Haynes

Andrew Cogswell

Daniel John Marsch

Jason Ji

Abdelkadar M'Hamed Benkreira

Carlos Eduardo Rodriguez

Bryant Alan Yee

Abdelkader M'hamed Benkreira

Cruz Vargas

Alexander Lin

Aysu Ezen Can

Mia Rodriguez

Mark Rothbaum

Feng Qiu

Guadalupe Bonilla

Meredith Leigh Critzer

Kevin Grant Osborn

Austen Novis

Vahid Khanagha

Adam Vukich

Lea Cody

Carrie Norman

Rajko Ilincic

Lukiih Cuan

Timur Sherif

James M Ashfield

William Carroll

Melissa Yoemans Heng

Dan Lin

Gaurang J Bhatt

Max Miracolo

Jerry Wagner

Noel Lyles

Daniel Herrington

Robert T Perry

Kyle Rankin Johnson

Kaylyn S Gibilterra

Asher Smith-Rose

Kevan Emmott

Leeyat Bracha Tessler

Abhay Donthi

Shannon Yogerst

Matthew Carson

Austin Erickson

Hazar Alsahnawi

Natasha Mitchko

Abdelkader M′Hamed Benkreira

Abdelkadar M′Hamed Benkreira

Trinity D Moon

Myka Cooper

Lauren Fox

Sossena Negussie

John E Jones, Iv

Lin Ni Lisa Cheng

Mykhaylo Bulgakov

Phoebe Atkins

Lesley Newton

Michelle S Olenoski

Sarvani Kare

Louis Buell

Brian McClanahan

Cara Weikel

Alice Hong

Zoe Fisch

Rosa Milani

Ryan Christopher Farber

Ashley Zywusko

Kimberley Tamara Lockett

In some implementations, a device may monitor initial messages to at least one message account of a user. The device may determine, based on monitoring the initial messages, that one or more messages, of the initial messages, are associated with resetting authentication information for one or more accounts of the user. The device may determine, based on determining that the one or more messages are associated with resetting authentication information, whether the one or more messages are indicative of abnormal authentication information resetting activity. The device may perform one or more actions based on determining that the one or more messages are indicative of abnormal authentication information resetting activity.

Detecting malicious activity associated with resetting authentication information

In some implementations, a browser extension may receive a setting indicating a level of verbosity and may receive an image and a set of words associated with the image. The browser extension may identify a foreground of the image and a background of the image and may identify, within the foreground of the image, a set of objects. The browser extension may rank the set of objects based on one or more properties of the set of objects and the set of words and may select a subset of objects from the set of objects based on the setting and the ranking. Accordingly, the browser extension may generate descriptions of the selected subset of objects based on the setting and may input the generated descriptions to a text to speech algorithm.

Image description generation for a screen reader based on a setting indicating a level of verbosity

A device may select an individual that is a candidate for authentication by facial recognition. The device may identify a facial area of the individual and an area of exposed skin of the individual. The device may obtain a first temperature associated with the facial area of the individual and a second temperature associated with the area of exposed skin of the individual. The device may determine, based on the first temperature and the second temperature, whether an appearance of the facial area of the individual is likely altered by a face-altering technology. The device may selectively perform facial recognition on the facial area of the individual based on whether the appearance of the facial area of the individual is likely altered by the face-altering technology.

Detecting attempts to defeat facial recognition

In some implementations, a user device may receive a set of words, for conversion to speech, including a plurality of subsets of the set of words, where each subset of the plurality of subsets is associated with one or more corresponding formatting properties. The user device may identify, within the set of words, a first subset of the plurality of subsets as relevant based on the one or more corresponding formatting properties associated with the first subset. Additionally, the user device may identify, within the set of words, a second subset of the plurality of subsets as not relevant based on the one or more corresponding formatting properties associated with the second subset. Accordingly, the user device may input the first subset to a text-to-speech algorithm.

Flexible text-to-speech for screen readers

In some implementations, a user device may receive, from a first other device, a first message, wherein the first message includes information indicating an event associated with an account of a user of the user device. The user device may provide, based on receiving the first message, a virtual keyboard for display on a display screen of the user device. The user device may obtain, based on providing the virtual keyboard, particular input. The user device may send to a second other device, and based on the particular input, a second message, wherein sending the second message is to cause the second other device to perform one or more actions associated with the event that is associated with the account of the user.

Using a virtual keyboard to enter particular input

Systems and methods of the present disclosure enable automated identification of restrictions on reversals of data entries by receiving location data from a computing device associated with a user, and utilizing a data profile classification machine learning model to classify a particular data profile according to a data profile classification type based at least in part on a history of data entries associated with the particular data profile when the physical location is within a predetermined proximity of another physical location associated with the particular data profile. A reversal rate of data entries in the history of data entries is determined for the particular data profile. An electronic activity reversal restriction is determined where the reversal rate is below a predetermined value, and a pop-up notification is presented on the computing device notifying the user of the electronic activity reversal restriction of the particular data profile.

Computer-based systems configured for identifying restricted reversals of operations in data entry and methods of use thereof

A card for storing both emergency information and payment information is disclosed. The card can be used by an emergency responder to retrieve emergency information for the user. The emergency information can enable the emergency responder to better render aid to the user. The card can have one or more processors, a sensor, and a memory in communication with the one or more processors and storing an application thereon. The application can cause the card to receive a request from a user device (e.g., from an emergency medical technician, or EMT) to access emergency information stored in the memory, transmit a security challenge to the user device, authenticate a received response to the security challenge from the user device, and transmit the emergency information to the user device.

Devices and methods for providing emergency information using a payment card

A system may include processor(s), and memory in communication with the processor(s) and storing instructions configured to cause the system to correct ASR errors. The system may receive a transcription comprising transcribed word(s) and may determine whether the transcribed word(s) exceed associated predefined confidence level(s). Responsive to determining a transcribed word does not exceed a predefined confidence level, the system may generate a predicted word. The system may calculate a distance between numerical representations of the transcribed word and the predicted word and may determine whether the distance exceeds a predefined threshold. Responsive to determining the distance exceeds the predefined threshold, the system may determine whether at least one red flag word of a list of red flag words corresponds to a context of the transcription, and, responsive to making that determination, may classify the transcription as associated with a first category.

Systems and methods for correcting automatic speech recognition errors

Systems and methods for preventing blockchain functions associated with malicious entities are disclosed herein. A first blockchain status update may be received from a first authorizing entity. A first counter and a first plurality of authorizing entities can be determined. The first counter and the first plurality of authorizing entities can be updated. The first counter can be compared to a consensus threshold. A first instruction to block requests for communications to the first entity address can be generated. A confirmation of the first instruction can be generated for display.

Systems and methods for preventing communications with malicious cryptography-based storage application addresses using consensus

A device may receive customer data, and store the customer data in a secure memory device of the device. The device may implement a backup mode in which the device utilizes the customer data to authorize requests based on determining that the device lacks a network connection. The device may receive, when the device is in the backup mode, a request for currency that includes authentication information. The device, while in the backup mode, may authorize the request for currency based on comparing the authentication information and the customer data. The device may dispense currency based on a result of comparing the authentication information and the customer data. The device may store transaction data associated with dispensing of the currency to permit the transaction data to be transmitted when the network connection is restored.

Automated teller machines (ATMs) having offline functionality

In some implementations, a device may obtain event data relating to events involving one or more entities and one or more individuals, where the one or more entities are associated with entity categories. The device may determine, based on origin locations of the one or more individuals and locations of the one or more entities, distances between the origin locations of the one or more individuals and the locations of the one or more entities, the distances indicating travel distances of the one or more individuals to perform exchanges in the entity categories associated with the one or more entities. The device may determine, based on the event data and the distances, that a geographic area is associated with an opportunity for an entity category. The device may transmit a notification indicating the opportunity for the entity category in the geographic area.

Machine learning model prediction of an opportunity for an entity category in a geographic area

Disclosed herein are systems and methods for determining whether an automated telephone call has been answered by a particular user, a different person, or a voicemail service. In response to determining that the call has been answered by the user, a different person, or a voicemail service, the systems and methods can output different respective messages, initiate messaging to the user via alternate communication paths, or perform other actions.

Systems for identifying the answering party of an automated voice call

Exemplary systems, methods, and computer-accessible mediums can include, for example, receiving a first location of a user(s) and time information associated with that location, initiating a record for the user(s) based on the location and the time information, receiving a second location of the user(s), where the second location can be in a second bounded area, storing in record, a transaction(s) associated with the user(s) based on the second location, and automatically initiating a single payment for the transaction(s) when the user(s) leaves the first location.

System, method, and computer-accessible medium for geo-fenced zones

Disclosed herein are system, method, and computer program product embodiments for generating an alert to a user for a change between weather conditions. An application can be operated by a processor to perform operations include determining a first weather condition at a geographic location at a first time when a user of the device enters a structure located within the geographic location. In addition, the operations can include, based on information received from the server, predicting a second weather condition at the geographic location at a second time while the user remains in the structure. Afterwards, the operations can include alerting the user for a change between the first and second weather conditions.

Alert a user of a weather change

A device may obtain a notification that a transaction occurred, where the transaction is associated with a financial account of a user, and a merchant. The device may determine that the merchant is associated with providing confirmation messages for transactions, and may process, based on determining that the merchant is associated with providing confirmation messages, one or more messages in a messaging account associated with the user to determine whether the messaging account includes a confirmation message associated with the transaction. The device may determine that the messaging account does not include any confirmation message associated with the transaction, may determine a likelihood that the transaction was unauthorized based on the messaging account not including a confirmation message, and may perform an action associated with the financial account of the user based on the likelihood that the transaction was unauthorized.

Fraud detection based on an analysis of messages in a messaging account

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Arlington, VA, United States of America

Michael Bakr Mossoba