Jason L Hoover

Address:

6304 N Park Dr, Watauga, TX 76148

VIN:

1XP5DB9X67D635876

Make:

Renault

Model:

Alliance 2dr Sedan L 4-S

Year:

2007

US Patent:

20220301438, Sep 22, 2022

Filed:

Jun 6, 2022

Appl. No.:

17/805630

Inventors:

- McLean VA, US
Geoffrey Dagley - McKinney TX, US
Jason Richard Hoover - Grapevine TX, US
Stephen Michael Wylie - Carrollton TX, US
Qiaochu Tang - Frisco TX, US

Assignee:

Capital One Services, LLC - McLean VA

International Classification:

G08G 1/00
G06F 16/9535

Abstract:

A computer system receives a request to locate a vehicle within a facility. The computer system parses the request to identify one or more characteristics of the vehicle. The computer system identifies a sensor corresponding to the vehicle based on the one or more characteristics of the vehicle. The computer system identifies a most recent location of the vehicle based on the last registered position of the vehicle within the facility. The computer system transmits a signal to a parking spot sensor at the most recent location of the vehicle in the facility. The computer system receives the unique identification. The computer system determines that the unique identification of the vehicle sensor co-located with the parking spot sensor matches the sensor of the requested vehicle. The computer system reports to the user a current location of the vehicle within the facility based on a location of the parking spot sensor.

US Patent:

20210398362, Dec 23, 2021

Filed:

Sep 3, 2021

Appl. No.:

17/466100

Inventors:

- McLean VA, US
Geoffrey DAGLEY - McKinney TX, US
Qiaochu TANG - The Colony TX, US
Jason HOOVER - Grapevine TX, US
Stephen WYLIE - Carrollton TX, US

Assignee:

Capital One Services, LLC - McLean VA

International Classification:

G06T 19/20
G06K 9/00
G06T 19/00
G06T 7/70

Abstract:

Techniques for providing indirect local geo-positioning using AR markers are disclosed. A first movable AR marker can be located or found by a computing device. A location of the first movable AR marker can be known and shared with the computing device. The location of the first movable AR marker can be based on distance between the first movable AR marker and a fixed AR marker. A distance to the first movable AR marker can be determined. Based on the known location of the first movable AR marker and the distance to the first movable AR marker from the computing device, an estimate of the location of the computing device can be determined without having line-of-sight (LOS) to the fixed AR marker.

US Patent:

20210256320, Aug 19, 2021

Filed:

Feb 26, 2021

Appl. No.:

17/187322

Inventors:

- McLean VA, US
Geoffrey Dagley - McKinney TX, US
Qiaochu Tang - The Colony TX, US
Sean Reddy - New York NY, US
Jason Richard Hoover - Grapevine TX, US
Stephen Michael Wylie - Carrollton TX, US
Micah Price - Plano TX, US

Assignee:

Capital One Services, LLC - McLean VA

International Classification:

G06K 9/62
G06K 9/46
G06N 3/02
G06N 20/00
G06F 16/583
G06K 9/22
G06N 3/04
G06K 9/00
G06N 3/08

Abstract:

An artificial intelligence system for identifying attributes in an image. The system may include a processor in communication with a client device; and a storage medium. The storage medium may store instructions that, when executed, configure the processor to perform operations including: extracting first features; categorizing the first images in a first group or a second group; modifying first metadata associated with each image in the first images to include a binary label; calculating a classification function; classifying a second plurality of images using the classification function; extracting second features from the second images classified in the first group; categorizing the second images in the first group by attribute; calculating an attribute identification function that identifies attributes of the second images; and identifying at least one attribute associated with a client image using the attribute identification function, the client image being received from the client device.

US Patent:

20210117994, Apr 22, 2021

Filed:

Oct 22, 2019

Appl. No.:

16/659873

Inventors:

- McLean VA, US
Stephen ANDERSON - Plano TX, US
Stephen WYLIE - Carrollton TX, US
Qiaochu TANG - The Colony TX, US
Micah PRICE - Plano TX, US
Jason HOOVER - Grapevine TX, US
Kristen Przano - Dallas TX, US

Assignee:

Capital One Services, LLC - McLean VA

International Classification:

G06Q 30/02
G06N 20/00
G06K 9/62

Abstract:

A computer-implemented method for using a machine-learning trained predictive engine to predict failures includes receiving electronic prior transaction data corresponding to a plurality of prior successful transactions and a plurality of prior unsuccessful transactions, and training a machine learning predictive engine based on the plurality of prior successful transactions and the plurality of prior unsuccessful transactions. Electronic transaction data may be received, the electronic transaction data being associated with a user, an item, and candidate transaction terms, the electronic transaction data being associated with a candidate transaction. The machine learning predictive engine may determine a likelihood of success of the candidate transaction based on the electronic transaction data, and display the likelihood of success of the candidate transaction.

US Patent:

20210090346, Mar 25, 2021

Filed:

Dec 8, 2020

Appl. No.:

17/114983

Inventors:

- McLean VA, US
Geoffrey DAGLEY - McKinney TX, US
Staevan DUCKWORTH - The Colony TX, US
Qiaochu TANG - The Colony TX, US
Jason HOOVER - Grapevine TX, US
Stephen WYLIE - Carrollton TX, US
Olalekan AWOYEMI - Prosper TX, US

Assignee:

Capital One Services, LLC - McLean VA

International Classification:

G06T 19/00
G06T 7/73
G06T 7/60
G06T 7/12
G06T 7/13
G06T 17/00
G06K 9/00

Abstract:

Various embodiments are generally directed to techniques of overlaying a virtual object on a physical object in augmented reality (AR). A computing device may receive one or more images of the physical object, perform analysis on the images (such as image segmentation) to generate a digital outline, and determine a position and a scale of the physical object based at least in part on the digital outline. The computing device may configure (e.g., rotate, scale) a 3D model of the physical object to match the determined position and scale of the physical object. The computing device may place or overlay a 3D virtual object on the physical object in AR based on a predefined location relation between the 3D virtual object and the 3D model of the physical object, and further, generate a composite view of the placement or overlay.

US Patent:

20210073746, Mar 11, 2021

Filed:

Nov 20, 2020

Appl. No.:

16/949933

Inventors:

- McLean VA, US
Micah PRICE - Anna TX, US
Jason HOOVER - Grapevine TX, US
Stephen WYLIE - Carrollton TX, US
Geoffrey DAGLEY - McKinney TX, US

International Classification:

G06Q 10/00
G07C 5/08
G07C 5/00
G06T 7/70
G06K 9/00

Abstract:

Various aspects described herein generally relate to visualizing a vehicle history using extended reality. In some implementations, an extended reality device may obtain image data corresponding to one or more vehicle parts that are visible in a field of view of the extended reality device. The extended reality device may identify one or more anchor points in a coordinate space corresponding to the field of view of the extended reality device and obtain a vehicle history report based on an identifier associated with the vehicle. The extended reality device may obtain digital content based on one or more records contained in the vehicle history report and an expected visual appearance of the one or more parts of the vehicle. The extended reality device may render the digital content on a display of the extended reality device. Various other aspects are provided.

US Patent:

20210056611, Feb 25, 2021

Filed:

Jun 26, 2020

Appl. No.:

16/946549

Inventors:

- McLean VA, US
Geoffrey Dagley - McKinney TX, US
Micah Price - Anna TX, US
Avid Ghamsari - Frisco TX, US
Jason Hoover - Grapevine TX, US

International Classification:

G06Q 30/06
G06T 19/00
G06T 15/00

Abstract:

A device receives user rendering data for a 3-D rendering of a user. The 3-D rendering is a proportional representation of the user and the user rendering data is available via an application. The device determines user characteristics of the user. The device receives an indication that a user device has submitted a vehicle search request. The device identifies vehicles to recommend to the user based on an analysis of: the user characteristics, and vehicle characteristics for a collection of vehicles being offered via the application. The device causes vehicle description data for the vehicles to be displayed via an interface of the application. The device receives user interaction data that indicates a user selection of vehicle. The device causes, based on receiving the user interaction data, the interface of the application to display a placement of the 3-D rendering of the user into a 3-D rendering of the vehicle.

US Patent:

20210056766, Feb 25, 2021

Filed:

Feb 4, 2020

Appl. No.:

16/781186

Inventors:

- McLean VA, US
Geoffrey DAGLEY - McKinney TX, US
Qiaochu TANG - The Colony TX, US
Jason HOOVER - Grapevine TX, US
Stephen WYLIE - Carrollton TX, US

Assignee:

Capital One Services, LLC - McLean VA

International Classification:

G06T 19/20
G06K 9/00
G06T 7/70
G06T 19/00

Abstract:

Techniques for providing indirect local geo-positioning using AR markers are disclosed. A first moveable AR marker can be located or found by a computing device. A location of the first moveable AR marker can be known and shared with the computing device. The location of the first moveable AR marker can be based on distance between the first moveable AR marker and a fixed AR marker. A distance to the first moveable AR marker can be determined. Based on the known location of the first moveable AR marker and the distance to the first moveable AR marker from the computing device, an estimate of the location of the computing device can be determined without having line-of-sight (LOS) to the fixed AR marker.