United Services Automobile Association (usaa)

Donnette Moncrief Brown

Manfred Amann

Robert Wiseman Simpson

Michael J Maciolek

Bobby Lawrence Mohs

Emily Margaret Gray

Daniel Christopher Bitsis, Jr

Eric David Schroeder

Justin Dax Haslam

Meredith Beveridge

Brian Francisco Shipley

Ashley Raine Philbrick

Qunying Kou

Meredith Beveridge Lecocke

Rochelle Ann Tijerina

Yevgeniy Viatcheslavovich Khmelev

Janelle Denice Dziuk

Jess Witman Gingrich

Ryan Thomas Russell

David Patrick Dixon

Oscar Guerra

Jeffrey Neal Pollack

Bharat Prasad

Ravi Durairaj

Nolan Serrao

Snehal Desai

Sean Carl Mitchem

Cory A Matheson

Joel S Hartshorn

Deborah Janette Schulz

Jennifer Hunt Erickson

Michael P Bueche, Jr

Thomas Wayne Schwarz, Jr

Jeanie Graciela Lopez

Curtis Mark Bell

Daniel Diaz

Karen Marie Shackelford-George

David Edward Garrison

Michael James Leach

Jay Wesley Mullen

Abbey Erin May

Kou Qunying

Margaret Emily Gray

A method of providing a dynamic go-bag service to a user is described. The go-bag contains various supplies and important documents, and is configured to protect these contents during an emergency situation. In one embodiment, the method includes receiving user information from a user, including information about the user, the user's family, and the user's home or residence. Based on the received user information, the method further includes generating a customized go-bag for the user that includes contents specific for the user to use in an emergency situation. The method also includes providing the customized go-bag to the user.

Dynamic go-bag service for emergency situations

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

An acoustic apparatus and method of determining the composition of a floor, based on the filtered sound waves produced by vibrating the floor is disclosed. The apparatus includes a transducer for generating vibrations and/or sound, as well as microphones for detecting sounds. The apparatus may include two microphones so that ambient noise can be removed from an audio signal.

Automatic flooring type detector

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

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

A method comprises receiving, by an artificial intelligence (AI) assistant, an input via a communication session between a customer device and a customer service representative device, wherein the AI assistant is trained using machine learning on a database containing previously-received inputs, previously-delivered outputs, and the previous results of previously-delivered outputs; processing, by the AI assistant, the input; determining, by the AI assistant, an output based on the processing of the input, wherein the output includes one of a suggested statement, change in tone, or correction for the customer service representative; and sending, by the AI assistant, an indication of the output to the customer service representative device.

Artificial intelligence assistance for customer service representatives

A post-disaster conditions monitoring system. The system may include a device processor; and a non-transitory computer readable medium including instructions executable by the device processor to perform the following steps: receiving a plurality of images from a plurality of personal devices in a geographic region; determining conditions in a geographic region based on the information received from the plurality of images; and preparing a map indicating the determined conditions within the geographic region.

Crowd-sourced imagery analysis of post-disaster conditions

An emergency signaling system is disclosed. The system includes a receptacle and a painting device. The painting device is covered in a paint material and stored in the receptacle. The receptacle can be used to launch the painting device onto a surface, such as a roof, in the event that a user needs to signal a search and rescue team or anyone near their present location. The painting device, upon contact with a surface, creates a painted signal. The painted signal can have different shapes according to the shape of the painting device. The painting device can include weight members or flexible frame members to facilitate opening the painting device from a closed or folded configuration to a fully open configuration once the painting device has been launched from the receptacle.

Emergency signaling system

A moisture detection system may include a baseboard including a first electrode and a second electrode; and a moisture detector configured to detect whether a circuit is closed by a conductive liquid making simultaneous contact with the first electrode and the second electrode.

Moisture detection system

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 pre-disaster banking system including a mobile conditions monitoring center including a vehicle having a system controller including: a device processor and a non-transitory computer readable medium including instructions to perform the following steps: receiving location data from a personal electronic device of a user; receiving forecast data regarding a predicted disaster; making a first determination, based on the received location data and the received forecast data, that the personal electronic device is located in an area that is expected to be affected by the predicted disaster; receiving banking information for the user; making a second determination that the user is scheduled to receive a payroll deposit that could be affected by the predicted disaster; and determining, based on the first determination and the second determination, a banking transaction to be executed for the user at a predetermined time relative to the predicted time of occurrence of the predicted disaster.

Pre-disaster education system

A post-disaster conditions monitoring system is disclosed. The system may include plurality of aircraft drones configured to take photographic images; a conditions monitoring center having a controller including a device processor and a non-transitory computer readable medium including instructions executable by the device processor to perform the following steps: receiving images from the plurality of aircraft drones in a geographic region; determining conditions in the geographic region based on the images received from the plurality of aircraft drones; and sending information regarding the determined conditions to one or more users of the system.

Post-disaster conditions monitoring system using drones

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

Growing community of inventors

San Antonio, TX, United States of America

Donnette Moncrief Brown