United Services Automobile Association (usaa)

Qunying Kou

Brian Francisco Shipley

Ashley Raine Philbrick

Manfred Amann

Eric David Schroeder

Justin Dax Haslam

Emily Margaret Gray

Michael J Maciolek

Robert Wiseman Simpson

Donnette Moncrief Brown

Bobby Lawrence Mohs

Daniel Christopher Bitsis, Jr

Meredith Beveridge

Meredith Beveridge Lecocke

Yevgeniy Viatcheslavovich Khmelev

Joel S Hartshorn

Oscar Guerra

Ryan Thomas Russell

Arthur Quentin Smith

David Patrick Dixon

Janelle Denice Dziuk

Jeffrey Neal Pollack

Bharat Prasad

Ravi Durairaj

Gabriel Carlos Fernandez

Nolan Serrao

Snehal Desai

Gregory B Yarbrough

Oscar Roberto Tijerina

Mark Paxman Warnick

William Daniel Farmer

Jennifer Hunt Erickson

Jeanie Graciela Lopez

Thomas Wayne Schwarz, Jr

Bradly Jay Billman

Reynaldo Medina, Iii

Carlos J P Chavez

Ric M Pena

Justin R Nash

Samip Dilip Mehra

Daniel Diaz

Breanna Nicole Allerkamp

Timothy Shiveley

A supply delivery system includes one or more processors and one or more memory devices storing instructions executable by the one or more processors to cause the one or more processors to instruct an aerial vehicle to travel within a geographical area, instruct an imaging device carried by the aerial vehicle to capture image data as the aerial vehicle travels through the geographical area, analyze the image data to identify an identification code on a physical target, instruct the aerial vehicle to dispense one or more items from the aerial vehicle at or near the physical target.

Systems and methods for targeted delivery of supplies during emergency events

A system may include a router that may receive a plurality of data packets from one or more devices that communicatively couples to the router. The system may also include at least one processor that identifies an identity of a device based on a data packet received by the router from the device, generate an insurance policy that includes the device in response to identifying the identity of the device, and sends a notification indicative of the insurance policy to a computing device in response to generating the insurance policy.

Systems and methods for detecting items at a property

A method of determining a physical location for an address. The method includes receiving from a first global positioning system on a vehicle a first set of global positioning data indicative of a vehicle location. The method may also receive from a second global positioning system on a portable electronic device a second set of global positioning data indicative of a portable electronic device location. The method may also receive a set of location metadata associated with a picture. The method determines a residence location from the first set of global positioning data, the second set of global positioning data, or the set of location metadata. The method then associates the physical location to the address.

System and method for determining physical locations of addresses

Implementations are disclosed to automatically evaluate, detect, or predict an event, and provide customized virtual assistance to a user based on the event. The implementations include a system capable of pulling data from a client device, detecting an event based on the pulled data, and pushing customized digital resources to the client device based on the detected event.

Systems and methods for automatic detection of an event and providing resources customized based on the event

A system may include a processor. The processor may perform operations including receiving multiple light patterns from multiple wireless devices. The operations may also include determining a location for each of the multiple wireless devices based at least in part on the multiple light patterns. Moreover, the operations may include pairing a first wireless device of the multiple wireless devices to the processor based at least in part on the location for each of the multiple wireless devices.

Systems and methods for detecting and connecting to a device in a vehicle

A tangible, non-transitory machine-readable medium includes machine-readable instructions that, when executed by one or more processors, cause the one or more processors to receive historical driver data indicative of one or more physiological parameters of one or more drivers during one or more prior driving trips, receive historical position data indicative of a respective position of a respective vehicle driven by the one or more drivers during the one or more prior driving trips, establish a correlation between the historical driver data and the historical position data, and identify one or more low-stress road segments using the correlation between the historical driver data and the historical position data.

Systems and methods for routing vehicles

Systems and methods described herein facilitate the management of personalized life information using a distributed ledger. For example, a distributed ledger system, such as one or more blockchains, may manage personalized life information of one or more individuals to, for example, determine an occurrence of a life event for a first individual based at least in part on personalized life information for the first individual, to access various types of personalized life information for the first individual in response to the determination of the occurrence of the life event for the first individual, and to provide a subset of the personalized life information data for the first individual to a user device associated with a second individual.

Systems and methods for managing personalized life information

A vehicle parking management system includes one or more processors configured to receive data indicative of one or more characteristics of one or more parking locations. The one or more processors is also configured to determine one or more recommended parking locations of the one or more parking locations based on the data and based on an input related to a vehicle. The one or more processors is further configured to output a recommendation of the one or more recommended parking locations via a display screen to a driver of the vehicle.

Parking management systems and methods

A method may include receiving, via a processor, an indication that a vehicle is in use, determining that a user of the vehicle is expected to perform an online-platform task, and determining one or more routes to perform the online-platform task. The method may further include determining one or more insurance rates for the one or more routes based on a type of the online-platform task, one or more driving characteristics associated with the user, the one or more routes, or any combination thereof. Additionally, the method may include displaying a visualization indicative of the one or more insurance rates via an electronic display. Furthermore, the method may include receiving a selection of a first insurance rate of the one or more insurance rates that corresponds to a first route of the one or more routes, detecting that the vehicle is deviating from the first route, and adjusting the first insurance rate in response to detecting that the vehicle is deviating from the first route.

Systems and methods for dynamically adjusting pay-per-ride insurance

The present disclosure relates to monitoring data in and around a vehicle to predict anomalous, e.g., unsafe, road conditions, and using the data to suggest a corrective action to avoid the unsafe road conditions. A computing device receives information indicative of imagery, sound, or vehicle operation via sensors and/or cameras mounted in or near a vehicle. The information may be received via the vehicle itself or via a device. The computing device then determines whether there is an indication of an anomalous road condition. The computing device also receives vehicle operation data extracted from one or more vehicle sensors. The computing device then determines whether there is an indication of unsafe road conditions, and if there is, the computing device may output a notice or alert via a notification system to alert the driver.

Monitoring of data to predict road conditions

Systems and methods of the present disclosure include at least one building component detection sensor device configured to be deployed within (or proximate to) a building comprised of a plurality of building components. The at least one building component detection sensor device is configured to detect data relating to at least one building component of the plurality of building components. In addition, a building component property determination system includes a processor configured to execute instructions stored in memory to determine one or more properties of the at least one building component based at least in part on the data detected by the at least one building component detection sensor device.

Systems and methods for detecting properties relating to building components

A system may include a processor. The processor may be configured to receive a first indication indicative of presence of a person arriving at a location associated with a scheduled service. The process may also be configured to determine whether the first indication corresponds to an expected arrival time of the scheduled service. Additionally, the processor may receive activity data in response to determining that the indication corresponds to the expected arrival time. Further, the processor may receive a second indication indicative that the person has completed the scheduled service. Further still, the processor may determine whether the scheduled service is completed based at least in part on the activity data. Even further, the processor may transmit a service confirmation to a computing device associated with a property owner of the location in response to determining that the scheduled service is completed.

Systems and methods for confirming property services

Growing community of inventors

San Antonio, TX, United States of America

Qunying Kou