- McLean VA, US Micah PRICE - McLean VA, US Jason HOOVER - McLean VA, US Avid GHAMSARI - McLean VA, US Geoffrey DAGLEY - McLean VA, US
Assignee:
Capital One Services, LLC - McLean VA
International Classification:
G08G 1/14 G01C 21/32 G01C 21/36 G05D 1/02
Abstract:
In certain embodiments, a vehicle may obtain a video stream via a camera system of the vehicle. The video stream may be processed to extract one or more feature vectors from the video stream. Based on the feature vectors extracted from the video stream, vehicle description information related to one or more parked vehicles in the parking area may be determined. Space information indicating locations of the parked vehicles relative to available parking spaces in the parking area may also be determined based on the feature vectors extracted from the video stream. A mapping of the parking area may then be generated based on the vehicle description information and the space information.
Detecting And Disabling A Vehicle Left Running While Parked
A sensor device may detect that a vehicle is running in an enclosed environment monitored by the sensor device based on one or more artificial intelligence algorithms and detect that the vehicle is emitting exhaust into the enclosed environment based on the artificial intelligence algorithms. To ventilate the exhaust, the sensor device generates a first command that causes a door in the enclosed environment to open based on detecting that the vehicle is emitting the exhaust into the enclosed environment. Furthermore, to stop the vehicle from running and/or emitting the exhaust into the enclosed environment, the sensor device may generate a second command that causes an ignition switch on the vehicle to disengage. The sensor device transmits the first command and the second command to one or more devices for execution such that the exhaust is ventilated from the enclosed environment and the ignition switch on the vehicle is disengaged.
Determining A Change To Product Information Or User Information Via Hashing
- McLean VA, US Micah PRICE - McLean VA, US Stephen WYLIE - McLean VA, US Geoffrey DAGLEY - McLean VA, US Jason HOOVER - McLean VA, US
International Classification:
H04L 9/06 G06N 20/00 H04L 29/08 G06Q 30/06
Abstract:
A device may determine a price of a product based on first information concerning attributes of the product, and provide the price for display by a user device. The device may generate first hash values based on the first information, where a particular first hash value is associated with a particular attribute, and generate a first bit-string that includes the plurality of first hash values. The device may generate second hash values based on second information concerning the attributes of the product, where a particular second hash value is associated with the particular attribute. The device may generate a second bit-string that includes the second hash values, and determine a change to the particular attribute based on the first bit-string and the second bit-string. The device may determine a new price of the product based on the change, and provide the new price for display by the user device.
Utilizing Machine Learning To Generate Augmented Reality Vehicle Information For A Scale Model Of A Vehicle
- McLean VA, US Qiaochu Tang - McLean VA, US Jason Hoover - McLean VA, US Stephen Wylie - McLean VA, US Geoffrey Dagley - McLean VA, US Kristen Przano - McLean VA, US
A device receives an image including image data of a scale model of a vehicle, and processes the image data, with a model, to identify a make, a model, and a year represented by the scale model. The device determines augmented reality (AR) vehicle information based on the make, the model, and the year represented by the scale model of the vehicle, and provides the AR vehicle information to enable a user device to associate the AR vehicle information with the image of the scale model of the vehicle. The device receives an input associated with the AR vehicle information, and determines updated AR vehicle information based on the input associated with the AR vehicle information. The device provides the updated AR vehicle information to enable the user device to associate the updated augmented reality vehicle information with the image of the scale model of the vehicle.
Offering Automobile Recommendations From Generic Features Learned From Natural Language Inputs
- McLean VA, US Stephen WYLIE - McLean VA, US Habeeb HOOSHMAND - McLean VA, US Jason HOOVER - McLean VA, US Geoffrey DAGLEY - McLean VA, US Qiaochu TANG - McLean VA, US
Assignee:
Capital One Services, LLC - McLean VA
International Classification:
G06Q 30/06 G06N 20/00 G06N 7/00 G06F 16/9538
Abstract:
Various embodiments are generally directed to techniques to provide specific vehicle recommendations to generic user requests. A method for providing the specific vehicle recommendation includes: receiving a generic automobile request from a user, applying a machine learning model (MLM) trained by a corpus of reviews to the received request, and generating, by the MLM, a recommendation for at least one specific automobile feature based on the generic automobile request.
Overlaying 3D Augmented Reality Content On Real-World Objects Using Image Segmentation
- McLean VA, US Geoffrey DAGLEY - McLean VA, US Staevan DUCKWORTH - McLean VA, US Qiaochu TANG - McLean VA, US Jason HOOVER - McLean VA, US Stephen WYLIE - McLean VA, US Olalekan AWOYEMI - McLean VA, US
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.
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 ...