Capital One Services, LLC

Nicholas Capurso

Jason Pribble

Daniel Alan Jarvis

Samuel Edwards

Eric Cerney

Timothy Tran

Joshua Kuehn

Dean Foster

William Broome

Vu Thuy Ngo

Disclosed herein are various embodiments for detecting predefined accessibility patterns for modifying a user interface of a mobile device. An embodiment operates by determining a plurality of pre-defined accessibility patterns each of which correspond to one or more user interactions by a user with a mobile device. Sensor data indicating that a user is unable to hold the mobile device steady is received. A first pre-defined accessibility pattern that corresponds to the indication that the user is unable to hold the mobile device steady is identified. A modification to a user interface is determined, and the user interface is modified in accordance with the determined modification corresponding to the first pre-defined accessibility pattern.

Detecting a pre-defined accessibility pattern to modify the user interface of a mobile device

Described herein is a system for automatically capturing images. A device may execute an application on the device. In response to receiving a request for capturing an image of a document, the application may control the operation of the camera to contemporaneously and continuously capture image frames of an area within the field of view of a camera of the device. The field of view may include an object and in turn may be included in the captured image frames. The application may determine whether the aspect ratio and real-world size of the object in the captured image frames corresponds with a specified threshold size and aspect ratio which corresponds with a given document type. In response to determining the object corresponds to the given document type, the camera may automatically extract an image of the object.

Automatic image capture system based on a determination and verification of a physical object size in a captured image

A device may capture a plurality of preview frames of a document, and for each preview frame of the plurality of preview frames, process the preview frame to identify an object in the preview frame. Processing the preview frame may include converting the preview frame into a grayscale image, generating a blurred image based on the grayscale image, detecting a plurality of edges in the blurred image, defining at least one bounding rectangle based on the plurality of edges, and determining an outline of the object based on the at least one bounding rectangle. The device may determine whether a value of an image parameter, associated with the one or more preview frames, satisfies a threshold, and provide feedback to a user of the device, or automatically capture an image of the document, based on determining whether the value of the image parameter satisfies the threshold.

Image analysis and processing pipeline with real-time feedback and autocapture capabilities, and visualization and configuration system

Methods, systems, and apparatuses are described herein for improving the security of computer authentication using light communications data provided by, e.g., environmental Li-Fi light sources. A mobile device may receive light communications data from a light source, such as a Li-Fi-enabled light bulb in a physical environment of the mobile device. That light communications data may indicate a variation in a modulation of light intensity of the light source over a time period. That variation might be used to provide a time- and/or location-specific key. The mobile device may determine the key by processing the light communications data and transmit a request for content that comprises the key. Access to content may be provided to the mobile device based on the key.

Li-Fi-based location authentication

Disclosed herein are system, method, and computer program product embodiments for verifying a document. An embodiment operates by receiving an initial image of a document and identifying a first imperfection on a feature of the document. Thereafter, the feature of the initial image is segmented into a first and second partially overlapping segment corresponding to a first and second portion of the feature, respectively. Subsequently, the feature's first portion is determined to be free from the first imperfection, and the first imperfection is identified in the feature's second segment. After receiving a second image of the document including the feature's second portion, the feature's second portion in the second image is determined to be free from a second imperfection. As a result, an image of the feature is created based on the first and second portions of the feature derived from the initial and second images, respectively.

Document verification by combining multiple images

A user device may capture a plurality of preview images that each include image data. The user device may process, in substantially real-time, a preview image to identify an object in the preview image, including determining an outline of the object. The user device may create a mask that hides a portion of the image data associated with an area outside of the outline of the object in one or more of the preview images. Based on determining that a parameter associated with glare of the object in the preview images does not satisfy a threshold, the user device may provide, in substantially real-time, feedback to a user, including an instruction to the user to perform an action with respect to the user device or to the object, and, based on determining that the parameter satisfies the threshold, the user device may automatically capture an image of the object.

Real-time glare detection inside a dynamic region of an image

In some implementations, a device may detect edges in an image, and may identify, based on the edges, a rectangle that bounds a document in the image. The device may detect lines in the image, and may identify edge candidate lines by discarding one or more of the lines. The device may identify intersection points where lines, included in the edge candidate lines, intersect with one another. The device may identify corner candidate points by discarding one or more points included in the intersection points, and may identify a corner point included in the corner candidate points. The corner point may be a point, included in the corner candidate points, that is closest to one corner of the bounding rectangle. The device may perform perspective correction on the image of the document based on identifying the corner point.

Image processing to detect a rectangular object

Systems, methods, articles of manufacture, and computer-readable media for secure authentication based on passport data stored in a contactless card associated with an account. An application may receive an indication to perform an operation. The application may receive encrypted data from the card. The application may receive an indication that the authentication server verified the encrypted data based on a private key. The application may receive encrypted passport data from the contactless card, the encrypted passport data for a passport associated with the account. The application may determine an attribute of the passport based at least in part on image data or text input. The application may decrypt the encrypted passport data based on the attribute of the passport. The application may initiate performance of the operation based on the received indication specifying that the authentication server verified the encrypted data and the decryption of the encrypted passport data.

Secure authentication based on passport data stored in a contactless card

Embodiments disclosed are directed to a computing system that performs steps to perform enhanced device fingerprinting using user contacts data. The computing system receives, from an application, a first plurality of device attributes identifying a client device on which the application is being used. The first plurality of device attributes includes first device identification data and first user contacts data. Subsequently, when a user is attempting to perform a transaction using the application on the client device, the computing system receives, from the application, a second plurality of device attributes identifying the client device on which the application is being used. The second plurality of device attributes includes second device identification data and second user contacts data. The computing system compares the second plurality of device attributes to the first plurality of device attributes to determine whether the user is authorized to perform the transaction.

Utilizing contact information for device risk assessment

A user device may capture an image including an object, and may identify the object, including determining an outline of the object. The user device may determine a first center point of the object and an angle of orientation of the object in relation to the image. The user device may rotate the image based on the angle of orientation, including changing one or more dimensions of the image. The user device may, after rotating the image, determine the one or more dimensions of the rotated image, calculate one or more offset values associated with changing the one or more dimensions of the rotated image, and determine a second center point of the object based on the first center point and the one or more offset values. The user device may perform an action related to the rotated image based on determining the second center point of the object.

Determining a position of an object in a rotation corrected image

Disclosed herein are various embodiments for detecting predefined accessibility patterns for modifying a user interface of a mobile device. In an embodiment, a plurality of pre-defined accessibility patterns each of which correspond to one or more user interactions by a user with the mobile device are determined. Sensor data corresponding a set of one or more of the user interactions is received receiving, from one or more sensors of the mobile device, and a first pre-defined accessibility pattern that corresponds to the set of one or more of the user interactions received form the one or more sensors is identified. A modification to the user interface of the application based on the first pre-defined accessibility pattern is determined, wherein the modification to the user interface is configured to ease a difficulty associated with the first pre-defined accessibility pattern. The user interface is modified accordance with the modification.

Growing community of inventors

Tysons Corner, VA, United States of America

Nicholas Capurso