- 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.
Systems And Methods For Personalized Augmented Reality View
- MCLEAN VA, US MICAH PRICE - Plano TX, US SUNIL SUBRAHMANYAM VASISHT - Flowermound TX, US QIAOCHU TANG - The Colony YX, US GEOFFREY DAGLEY - McKinney TX, US STEPHEN MICHAEL WYLIE - Carrollton TX, US
Systems and methods for presenting an augmented reality view are disclosed. Embodiments include a system with a database for personalizing an augmented reality view of a physical environment using at least one of a location of a physical environment or a location of a user. The system may further include a hardware device in communication with the database, the hardware device including a renderer configured to render the augmented reality view for display and a controller configured to determine a scope of the augmented reality view authenticating the augmented reality view. The hardware device may include a processor configured to receive the augmented reality view of the physical environment, and present, via a display, augmented reality content to the user while the user is present in the physical environment, based on the determined scope of the augmented reality view.
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.
Using Augmented Reality Markers For Local Positioning In A Computing Environment
- 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.
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.
Machine Learning Artificialintelligence System For Identifying Vehicles
- 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
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.
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.