Capital One Services, LLC

Michael Bakr Mossoba

Joshua S Edwards

Abdelkader M'Hamed Benkreira

Salik Shah

Sarah Jane Cunningham

Latika Gulati

Sophie Bermudez

Abdelkader Benkreira

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

Carlos Eduardo Rodriguez

Bryant Alan Yee

Cruz Vargas

Abdelkadar M'hamed Benkreira

Alexander Lin

Abdelkadar M'Hamed Benkreira

Abdelkader M'hamed Benkreira

Mark Rothbaum

Kevin Grant Osborn

Aysu Ezen Can

Austen Novis

Meredith Leigh Critzer

Guadalupe Bonilla

Adam Vukich

Lea Cody

Mia Rodriguez

Carrie Norman

Vahid Khanagha

Feng Qiu

Rajko Ilincic

Lukiih Cuan

Timur Sherif

James M Ashfield

Melissa Yoemans Heng

William Carroll

Gaurang J Bhatt

Max Miracolo

Jerry Wagner

Dan Lin

Daniel Herrington

Robert T Perry

Kyle Rankin Johnson

Kaylyn S Gibilterra

Asher Smith-Rose

Kevan Emmott

Leeyat Bracha Tessler

Abhay Donthi

Matthew Carson

Natasha Mitchko

Abdelkadar M′Hamed Benkreira

Sossena Negussie

Myka Cooper

Trinity D Moon

Lin Ni Lisa Cheng

Mykhaylo Bulgakov

Phoebe Atkins

Lesley Newton

Michelle S Olenoski

Sarvani Kare

Brian McClanahan

Shannon Yogerst

Louis Buell

Cara Weikel

Austin Erickson

Lauren Fox

Abdelkader M′Hamed Benkreira

Hazar Alsahnawi

John E Jones, Iv

Kimberley Tamara Lockett

Ryan Christopher Farber

Zoe Fisch

Alice Hong

Noel Lyles

Abdelkader M Benkreira

In some embodiments, the present disclosure provides an exemplary method that may include steps of monitoring, a conversation script between a call center agent and a customer; utilizing, a speech-to-text deep machine learning model to transcribe the audio call to text; utilizing, a natural language processing deep machine learning model to map intent mappings of the audio call; utilizing, a similarity measurement model to determine a semantic similarity between predefined intent mappings and the intent mappings of the call audio text; determining, an error based on the semantic similarity in the intent mapping call audio text; determining a training session based on the error.

Computer-based systems configured to monitor a communication session and generate a training session and methods of use thereof

In some implementations, a system may capture audio from a call between a calling device and a called device. The system may filter the captured audio to generate a background audio layer. The system may generate an audio footprint that is a representation of sound in the background audio layer. The system may determine that the audio footprint includes a triggering sound footprint based on one or more audio characteristics of the audio footprint. The system may detect synthetic sound based on the audio footprint and after determining that the audio footprint includes the triggering sound footprint, wherein the synthetic sound is indicative of a sound recording. The system may transmit a notification to one or more devices associated with the call based on detecting the synthetic sound.

Detecting synthetic sounds in call audio

Scroll-based automatic field completion is disclosed. A page displayed by a web browser can be monitored for empty fields as the page is scrolled. Automatic fill or completion of the empty field can be triggered in response to a request to scroll down based on the location of the empty field on the page. Automatic completion can involve determining a type of data associated with the field and retrieving user data of the type from a data store. A machine learning model can also be invoked to predict a user's preference for multiple completion options. Further, automatic refill of a completed field with different information can be initiated in response to a scroll up and the location of the field on the page.

Scroll-based automatic field completion

In some implementations, a device may receive, from the gaming program, account information for a card associated with an account of a user. The device may receive, via a user interface provided by the gaming program, customization information associated with the card, wherein the customization information includes at least one of: one or more features supported by the card, or one or more design elements to be included on the card. The device may generate a virtual card, associated with the card, based on the customization information. The device may cause the virtual card to be available for display and to be used to perform exchanges in the gaming program or other gaming programs. The device may transmit information associated with the customization information to cause the card to be manufactured or printed according to the customization information.

Card customization via a gaming console

In some embodiments, validation of network operations related to use of a token via a token request based on entity characteristics may be facilitated. In some embodiments, a token request indicating use of a token to access an item associated with an entity may be detected, where the token is bound to one or more entity characteristics. Based on the token request, an entity identifier associated with the entity may be obtained. Using the entity identifier, one or more item characteristics of items available via the entity may be determined. Determining whether the entity satisfies the one or more entity characteristic to which the token is bound may be determined based on the one or more item characteristics. Access to the item associated with the entity may be validated based on the determination indicating that the entity satisfies the one or more entity characteristics to which the token is bound.

Systems and methods for validating network operations related to use of a token via a token request based on entity characteristics

In some implementations, a device may receive a request to generate a virtual credential associated with an account of a user. The device may transmit an indication of the virtual credential, wherein the virtual credential is to be transmitted by a wearable device. The device may communicate, with the wearable device, to identify a usage status of the wearable device, wherein the usage status indicates whether the wearable device is being worn by the user. The device may perform an action, to secure the virtual credential based on communicating with the wearable device and based on the usage status, including: maintaining, by the device, a validity of the virtual credential based on the usage status indicating that the wearable device is being worn by the user; or invalidating, by the device, the virtual credential based on the usage status indicating that the wearable device has been removed from the user.

Enhanced credential security based on a usage status of a wearable device

Systems and method for providing information about a location with image analysis are described herein. The method can include: retrieving, from a user's device, location information, receiving a digital image of an location captured by a digital camera connected to the user's device, analyzing the digital image to detect an identification feature, determining an identify of the location based on the location information and the identification feature, identifying a capture time of day at which the digital image was captured, determining a median rate of traffic at the establish at the identified capture time of day, calculating information based on the median rate of traffic at the capture time of day, the information related to how crowded the location is at the captured time of day, and providing, by a display on the user's device, the information.

Methods and systems for providing information about a location with image analysis

Systems and methods for verifying digitally secured communications between users are disclosed herein. A first user identifier for a first user may be received. A first blockchain address for the first user based on the first user identifier may be determined. A first non-transferable token corresponding to the first user may be generated. A request for a communication may be received. A target address and a target user identifier may be extracted. Whether the communication metadata matches the token metadata may be determined. A validation status for the communication may be determined.

Systems and methods for verifying cryptographically secured communications between users using non-transferable tokens

Systems and methods of provisioning post-interaction values are disclosed. In one embodiment, an exemplary computer-implemented method may comprise: receiving an interaction session message from a computing terminal, the interaction session message comprising an identifying data of a personal transacting device; defining, based on an interaction session: i) a user-specific context parameter about the user, and ii) a location-specific context parameter about a physical location of the computing terminal; defining post-interaction values based on the user-specific context parameter and the location-specific context parameter; sending the post-interaction values to the computing terminal; instructing the computing terminal to transmit the post-interaction values to the circuitry of the personal transacting device; and sending an instruction to a computing device associated with the user to establish a second session between the personal transacting device and the computing device and transfer the post-interaction values to the computing device.

Computer-based systems configured for post-interaction data provisioning and methods of use thereof

A device receives, from a user device, a request to generate a verification code for a transaction associated with a user of the user device, and receives user profile information associated with a transaction card to be used for the transaction. The device generates a random verification code for the transaction based on the request and the user profile information, and authenticates the random verification code, based on the user profile information, to generate an authenticated random verification code. The device provides the authenticated random verification code to the user device, and receives transaction information, including the authenticated random verification code, from a merchant device associated with the transaction. The device validates the transaction based on the transaction information, and provides, to the merchant device associated with the transaction, information indicating that the transaction is validated.

Generating a random verification code for a transaction

The innovation disclosed, in one aspect thereof, comprises systems and methods of a browser extension for product quality. Online shopping by a user can be monitored on a browser by a browser extension or integrated application with the browser. A potential purchase of a product is detected by the integrated application. The product is identified via analysis of a web page and cross reference to known products. The integrated application retrieves warranty claims data from an accessible warranty database. The warranty claims data is analyzed to determine a recommendation of the product. The integrated application presents the recommendation via the browser as an alert to the user.

Method, system, and non-transitory computer readable storage medium for a browser extension for product quality

Methods, systems, and apparatuses are described herein for improving computer authentication processes through computer-based authentication in a manner that uses knowledge of former devices. A computing device may train a machine learning model to output an indication of device reliability data associated with a particular device. The computing device may receive a request for access to an account from a user. The computing device may receive account data and provide the account data to the trained machine learning model. The computing device may receive data indicating device reliability for a set of devices from the machine learning model. The computing device may generate a modified set of device choices for the user by excluding devices having reliability levels below a threshold value. An authentication question may be generated, and access to the account may be provided based on a response to the authentication question.

Computer authentication using knowledge of former devices

Methods and systems for generating electronic signatures are disclosed. In some embodiments, the method includes: storing pixel features of a signing device; capturing, via an imaging device, a plurality of image frames including the pixel features of the signing device; identifying in the plurality of image frames, by a processor, first pixels matching the stored pixel features of the signing device; generating, by the processor, a first image including the identified pixels; and connecting, by the processor, the identified pixels to form at least one line drawing representing a signature.

Systems and methods for capturing electronic signatures

Disclosed are methods and systems for generating a virtual tag for an item in a physical environment. For instance, an image of the physical environment captured by and displayed on a user interface of a computing device may be provided as input to a trained machine learning model configured to identify the item including a first subset of item attributes. The item may be identified and information associated with the item, including a second subset of item attributes, may be received from a data store using the first subset. A spatial location of the item may be identified in the image. An icon may be generated for the item and rendered by the computing device for display on the user interface in association with the spatial location of the item in the image. The icon may be indicative of at least one item attribute from the first or second subset.

Systems and methods for generating virtual tags for items in a physical environment

A device receives position information from a sensor of the device, wherein the position information indicates a position of a user of the device and a position of a person proximate to the user. The device receives lighting information from the sensor, wherein the lighting information indicates lighting conditions around the device and the user. The device calculates a position adjustment for an infrared element of the device based on the position information and the lighting information, and calculates an intensity adjustment for the infrared element based on the position information and the lighting information. The device receives, via an input element of the device, input data provided by the user, and implements the position adjustment and the intensity adjustment to enable the infrared element, when illuminated, to reflect light away from the input element and to prevent image or video capture of the input data.

Preventing image or video capture of input data provided to a transaction device

Growing community of inventors

Arlington, VA, United States of America

Michael Bakr Mossoba