- McLean VA, US Stephen WYLIE - Carrollton TX, US Jason HOOVER - Grapevine TX, US Avid GHAMSARI - Frisco TX, US Micah PRICE - Plano TX, US Geoffrey DAGLEY - McKinney TX, US
Assignee:
Capital One Services, LLC - McLean VA
International Classification:
G06F 16/953 G06F 16/9538 G06N 20/00 G06F 40/237
Abstract:
Techniques to leverage machine learning for search engine optimization (SEO). Some techniques are applicable to turnkey e-commerce solutions operating on the Internet as an online platform. These techniques use machine learning to gain insights into patterns/relationships between search terms and items for sale on the online platform. Depending on a relevancy or an accuracy of a search term to a particular item for sale, the online platform inserts the search term into the online platform such that a public search engine crawler increases a search engine result position for the online platform. Other embodiments are described and claimed.
Image Analysis And Identification Using Machine Learning With Output Estimation
- McLean VA, US Sunil Subrahmanyam VASISHT - Flowermound TX, US Stephen Michael WYLIE - Carrollton TX, US Geoffrey DAGLEY - McKinney TX, US Micah PRICE - Plano TX, US Jason Richard HOOVER - Grapevine TX, US
Assignee:
Capital One Services, LLC - McLean VA
International Classification:
G06Q 40/02 G06N 20/00
Abstract:
The present disclosure relates to systems and methods for generating real-time quotes using machine learning algorithms. The system may include a processor in communication with a client device, and a storage medium storing instructions that, when executed, cause the processor to perform operations including: receiving an image of a vehicle from the client device, extracting one or more features from the image, based on the extracted features and using a machine learning algorithm, identifying one or more attributes of the vehicle, based on the identified attributes of the vehicle, determining a make and a model of the vehicle, obtaining comparison information based at least in part on the determined make and model, estimating a quote for the vehicle based on the comparison information; and transmitting the estimated quote for display on the client device.
Systems And Methods For Automated Trade-In With Limited Human Interaction
Aspects described herein may facilitate an automated trade-in of a vehicle with limited human interaction. A server may receive a request to begin a value determination of a vehicle associated with the user. The server may receive first data comprising: vehicle-specific identifying information, and multimedia content showing a first aspect of the vehicle. The user may be directed to place the vehicle within a predetermined staging area. The server may receive, from one or more image sensors associated with the staging area, second data comprising multimedia content showing a second aspect of the vehicle. The server may create a feature vector comprising the first data and the second data. The feature vector may be inputted into a machine learning algorithm corresponding to the vehicle-specific identifying information of the vehicle. Based on the machine learning algorithm, the server may determine a value of the vehicle.
Visualizing Vehicle Part Replacement Information Using Extended Reality
- McLean VA, US Jason HOOVER - Grapevine TX, US Micah PRICE - Anna TX, US Olalekan AWOYEMI - Prosper TX, US Qiaochu TANG - The Colony TX, US Stephen WYLIE - Carrollton TX, US Sunil VASISHT - Frisco TX, US
A device having extended reality capabilities receives a video feed including one or more video frames depicting an object. The device provides the one or more video frames to a first machine learning model that identifies the object and one or more parts of the object that are depicted in the one or more video frames, and obtains positional tracking information that represents a position and an orientation associated with the object depicted in the one or more video frames relative to a coordinate space. The device identifies a plurality of parts from the one or more parts of the object that are depicted in the one or more video frames and determines, using one or more second machine learning models, information regarding the plurality of parts and information regarding one or more replacement parts.
Utilizing Machine Learning To Generate Augmented Reality Vehicle Information For A Vehicle Captured By Cameras In A Vehicle Lot
- McLean VA, US Stephen WYLIE - Carrollton TX, US Geoffrey DAGLEY - McKinney TX, US Olalekan AWOYEMI - Prosper TX, US Staevan DUCKWORTH - The Colony TX, US Jason HOOVER - Grapevine TX, US Micah PRICE - Anna TX, US
International Classification:
G06Q 30/06 G06T 19/00 H04N 7/18
Abstract:
A device receives, from multiple cameras, streaming video data associated with multiple vehicles and provides the streaming video data to a user device associated with a user. The device receives, from the user device, a request to control a first camera and provides, to the user device, first streaming video data associated with the first camera. The device receives, from the user device, a camera control command for the first camera and causes the first camera to perform an action. The device receives updated first streaming video data from the first camera and provides, to the user device, the updated first streaming video data. The device receives, from the user device, information identifying a first vehicle in the updated first streaming video data and identifies first augmented reality vehicle information associated with the first vehicle. The device provides the first augmented reality vehicle information to the user device.
Utilizing Machine Learning Models And Captured Video Of A Vehicle To Determine A Valuation For The Vehicle
- McLean VA, US Jason HOOVER - Grapevine TX, US Micah PRICE - Anna TX, US Geoffrey DAGLEY - McKinney TX, US Staevan DUCKWORTH - The Colony TX, US Stewart YOUNGBLOOD - Allen TX, US
A valuation platform may receive, from a user device, video data associated with a vehicle, and may receive a vehicle history report of the vehicle based on a vehicle identification number of the vehicle. The valuation platform may receive, from the user device, feature data associated with the vehicle, and may process the video data, the vehicle history report, and the feature data, with a machine learning model, to determine one or more values for the vehicle. The valuation platform may determine a valuation for the vehicle based on the determined one or more values for the vehicle. The valuation platform may create a vehicle profile for the vehicle based on the video data, the vehicle history report, the feature data, the determined one or more values for the vehicle, and the valuation for the vehicle, and may perform one or more actions based on the vehicle profile.
Systems And Methods For Car Shopping Using Messaging Framework
- McLean VA, US Sunil Subrahmanyam VASISHT - Flowermound TX, US Micah PRICE - Plano TX, US Arjun DUGAL - Dallas TX, US Geoffrey DAGLEY - McKinney TX, US Raman BAJAJ - Frisco TX, US Stephen Michael WYLIE - Carrollton TX, US Jason Richard HOOVER - Grapevine TX, US Qiaochu TANG - The Colony TX, US
Disclosed embodiments provide devices, methods, and computer-readable storage media for determining information of an object from a captured image. Further, the disclosed device responds to a user input by capturing, with the camera, image data representing an object. The device then transmits, via a messaging application through a network interface to a server, the image data and a request for information relating to the object. The object information is received via the messaging application through the network from the server and is displayed on the display screen.
Systems And Methods For Tokenized Data Delegation And Protection
- Mclean VA, US Jason HOOVER - Grapevine TX, US Micah PRICE - Plano TX, US Stephen WYLIE - Carrollton TX, US Geoffrey DAGLEY - McKinney TX, US
International Classification:
H04L 9/32 H04L 29/06 G06N 20/00
Abstract:
Example embodiments of systems and methods for data delegation and control through the use of tokenized data are provided. In an exemplary method of data delegation and control, a data device may store private information associated with a user and generate an access token, comprising tokenized data identifying the data device. The data device may transmit the access token to a user device through a front channel and receive an information request from a merchant device comprising the access token through a secure back channel. Upon authenticating the access token, the data device may transmit a portion of the private information to the merchant device through the secure back channel.
Resumes
Senior Application Developer At Capital One Auto Finance
Texas Brain & Spine Institute 8441 State Hwy 47 STE 4300, Bryan, TX 77807 9797768896 (phone), 9797740716 (fax)
Education:
Medical School Texas Tech University Health Science Center School of Medicine - Lubbock Graduated: 2006
Procedures:
Craniotomy Lumbar Puncture Spinal Cord Surgery Spinal Fusion Spinal Surgery
Conditions:
Intervertebral Disc Degeneration Intracranial Injury Liver Cancer
Languages:
English Spanish
Description:
Dr. Hoover graduated from the Texas Tech University Health Science Center School of Medicine - Lubbock in 2006. He works in Bryan, TX and specializes in Surgery , Neurological. Dr. Hoover is affiliated with Baylor Scott & White Hospital Taylor, College Station Medical Center and St Joseph Regional Health Center.
Googleplus
Jason Hoover
Work:
Northwestern Mutual Life Insurance Company - Finanial Representative
Education:
Kansas State University - Economics
Relationship:
Single
About:
Student at Kansas State Universtiy
Tagline:
Economics student at Kansas State University and member of Delta Upsilon Fraternity
6, drove his brother Willie Walker and James Lester to the Schooner Cove Apartments in Ypsilanti Township, where Willie Walker and Lester robbed Jason Hoover. Willie Walker pleaded guilty in June to second-degree murder for firing the shot that killed ...