United Services Automobile Association (usaa)

Hs Labs, Inc.

Donna Moncrief Brown

Manfred Amann

Eric David Schroeder

Carlos J P Chavez

Andrea Richardson

David James

Victoria A Santos

Ashley Raine Philbrick

Bradly Jay Billman

Alexander B Nagelberg

Justin Dax Haslam

Emily Margaret Gray

Ramsey Devereaux

Jess Witman Gingrich

Michael Kyne

Sharon Kay Haverlah

Juspreet Kaur

An augmented reality structural assessment system may include a display device, at least one sensor configured to generate image data from a structure, and a processor. The processor may receive the image data that represents one or more portions of the structure and receive motion data representative of a number of steps traversed by a user about the structure. The processor may generate a visualization of a scenario related to structural damage to the one or more portions of the structure of the image data. The visualization may be presented to a user via the display device, such that the visualization augments a view of the structure via the display device to include the one or more dimensions. The processor may then receive input data regarding one or more assessments of damage to the structure corresponding to the scenario, the image data, and the one or more dimensions, and store the data regarding one or more assessments of damage in a storage component. The processor may then generate a policy quote based in part on the one or more assessments.

Systems and methods for employing augmented reality in appraisal and assessment operations

Methods and systems described in this disclosure are directed to rendering audiovisual (AN) simulation of a disaster situation at a facility by artificially simulating the disaster situation. The disaster situation uses a 3D model of the environment associated with the facility. Embodiments of the disclosed system continuously collect data relating to reactions of one or more users to the simulation model. Upon analyzing the reactions of one or more users to the simulation model, the system provides AN indicators such as an avatar, a virtual teacher, or a virtual user to provide information for responding to the disaster situation. In some embodiments, the simulation model can be customized based on one or more factors, such as an age of the one or users, a skillset of the one or more users, a geographical location of the facility.

Virtual reality environment for catastrophe preparedness and response education

A system configured to detect failure of a hose includes a sensor assembly having a body with a first arm and a second arm pivotally coupled to one another at respective first ends, and the body is configured to move between a closed position and an open position. The sensor assembly also includes a first electrical contact positioned at a respective second end of the first arm and a second electrical contact position at a respective second end of the second arm. The first electrical contact and the second electrical contact are configured to contact one another to form a complete electrical circuit when the body is in the closed position and are configured to be separated from one another to form an open electrical circuit when the body is in the open position to facilitate detection of the failure of the hose.

Systems and methods for detecting hose failure

An augmented reality structural assessment system may include a display device, at least one sensor configured to generate image data from a structure, and a processor. The processor may receive the image data that represents one or more portions of the structure and receive motion data representative of a number of steps traversed by a user about the structure. The processor may generate a visualization of a scenario related to based on a scenario related to structural damage to the one to the one or more portions of the structure of the image data. The visualization may be presented to a user via the display device, such that the visualization augments a view of the structure via the display device to include the one or more dimensions. The processor may then receive input data regarding one or more assessments of damage to the structure corresponding to the scenario, the image data, and the one or more dimensions, and store the data regarding one or more assessments of damage in a storage component. The processor may then generate a policy quote based in part on the one or more assessments.

Methods and systems described in this disclosure are directed to rendering audiovisual (A/V) simulation of a disaster situation at a facility by artificially simulating the disaster situation. The disaster situation uses a 3D model of the environment associated with the facility. Embodiments of the disclosed system continuously collect data relating to reactions of one or more users to the simulation model. Upon analyzing the reactions of one or more users to the simulation model, the system provides A/V indicators such as an avatar, a virtual teacher, or a virtual user to provide information for responding to the disaster situation. In some embodiments, the simulation model can be customized based on one or more factors, such as an age of the one or users, a skillset of the one or more users, a geographical location of the facility.

An augmented reality structural assessment system may include a display device, at least one sensor configured to generate image data from a structure, and a processor. The processor may receive the image data that represents one or more portions of the structure and generate a visualization of a scenario related to structural damage to the one or more portions of the structure. The visualization may be presented via the display device, such that the visualization augments a view of the structure via the display device. The processor may then receive input data regarding one or more assessments of damage to the structure corresponding to the scenario and the image data and store the data regarding one or more assessments of damage in a storage component.

A flow monitoring system, which is configured to detect a leak in a water distribution system having appliances, includes a flow sensor. The flow sensor is configured to detect flow data of a flow of water within a conduit configured to fluidly couple to the appliances. The flow monitoring system also includes a processor. The processor is configured to receive the flow data from the flow sensor, determine whether a reference flow pattern (of a plurality of reference flow patterns) is present in the flow data (where the plurality of reference flow patterns correspond with expected water flow patterns to one or more appliance of the appliances), and initiate a shut-down mode configured to stop the flow of water in response to a determination that the reference flow pattern is not present in the flow data.

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San Antonio, TX, United States of America

Donna Moncrief Brown