United Services Automobile Association (usaa)

Carlos Jp Chavez

Ashley Raine Philbrick

Janelle Denice Dziuk

Yevgeniy Viatcheslavovich Khmelev

Stacy Callaway Huggar

Rachel Elizabeth Csabi

Michael Jay Szentes

Eric David Schroeder

Oscar Guerra

Courtney St Martin

Emily Kathleen Krebs

Mitzi Ruiz

Quian Antony Jones

Theresa Marie Matowitz

Ruthie D Lyle

Ravi Durairaj

Snehal Desai

Gabriel Carlos Fernandez

David Patrick Dixon

Nathan Lee Post

Gregory David Hansen

Kelly Q Baker

Jeffrey Neal Pollack

Michael Joseph Gaeta

Deborah Janette Schulz

Andrea Richardson

Dwayne Phillip Wilson

Timothy Benjamin Czerlinsky

Stefanie Jean Acosta

Kristina Suniga-Cabrera

Nicholas S Walker

Robert E Lewis

Bradly Jay Billman

Reynaldo Medina, Iii

Ryan Thomas Russell

Gregory Brian Meyer

Jess Witman Gingrich

Paula Ann Whittington

David Jason Anderson James

Nandhini Sridaran

Yuesheng Liu

Sean M Hager

Storme Shelton Briscoe

Russell Colwell

Bharat Prasad

Manfred Amann

Arthur Quentin Smith

Sumita T Jonak

Christopher M Russell

Sean Carl Mitchem

Oscar Roberto Tijerina

Mark Paxman Warnick

David M Jones, Jr

Kevin Kenneth Fiedler

Huihui Wu

Sacha Melquiades De'Angeli

Subhalakshmi Selvam

Martha Rodriguez Hathorn

Amanda Shannon Danko

Valmore M Smith

James Stephan Harrison

Sarah Van Auken Shaw

Agatha Maria Morey

A mud treatment system that can be used during emergencies is disclosed. The system includes an autonomous vehicle carrying a mud treatment device. In response to information about a mud-related disaster at a specific location, the system will instruct the vehicle to travel to the location, enter a building, and dispense one or more applications of mud softener in the interior space of the building. The vehicle can navigate from room to room and determine whether moisture content levels are below a specified threshold. In response, the vehicle can direct its mud or dirt softening efforts to these specific zones.

Drone-based mud softening treatment device

A dehumidification system that can be used during emergencies is disclosed. The system includes an autonomous vehicle carrying a dehumidification treatment device. In response to information about a water-related disaster at a specific location, the system will instruct the vehicle to travel to the location, enter a building, and dispense one or more applications of desiccant beads in the interior space of the building. The vehicle can navigate from room to room and determine whether moisture content levels exceed a specified threshold. In response, the vehicle can direct its dehumidification operation to these specific zones.

Drone-based dehumidification treatment device

Dewatering systems and methods for use in response to emergencies and disasters. The system includes an autonomous vehicle including or transporting a dewatering device. In response to information about a water-related disaster at a specific location, the system will instruct the vehicle to travel to the location, enter a building, and initiate a series of dewatering cycles in the interior space of the building. The vehicle can navigate from room to room and determine whether fluid content levels exceed a specified threshold. In response, the vehicle can direct its dewatering operation to these specific zones.

Emergency deployment of a drone-based flood control system

Systems and methods of the present disclosure include a vehicle water detection system that includes a housing configured to be disposed within a vehicle. The vehicle water detection system also includes a water-activated battery disposed within the housing and configured to produce an electrical voltage upon contact with water. The vehicle water detection system further includes an electronic circuitry disposed within the housing and configured to detect a water event occurring in the vehicle based at least in part on the electrical voltage.

Systems and methods for detecting water events in vehicles

Various embodiments of the present disclosure evaluate transcription accuracy. In some implementations, the system normalizes a first transcription of an audio file and a baseline transcription of the audio file. The baseline transcription can be used as an accurate transcription of the audio file. The system can further determine an error rate of the first transcription by aligning each portion of the first transcription with the portion of the baseline transcription, and assigning a label to each portion based on a comparison of the portion of the first transcription with the portion of the baseline transcription.

Transcription analysis platform

A health data management method using non-fungible tokens may include receiving, via one processor, digital health data and encrypting or obscuring personal identifying information of the digital health data. The method may then involve using the digital health data with encrypted or obscured personal identifying information to generate a non-fungible token and providing the non-fungible tokens in a marketplace. The method may also involve accepting an offer from a purchaser for the non-fungible token via the marketplace and providing unobscured digital health data or an encryption key to the purchaser of the non-fungible token.

Non-fungible token transaction management systems and methods for digital health data

The present disclosure relates to detecting the use of fake voice command to activate microphones of smart devices. In one embodiment, sound characteristics associated with an audio signal from a microphone of smart device may be compared with other microphones of the smart device in order to detect fake voice commands. In another embodiment, sound characteristics associated with the audio signal from the microphone may be compared with a threshold range of stored sound characteristics in order to detect fake voice commands. In some embodiments, a controller may triangulate a position associated with a source of a sound in order to detect a fake voice command. In a further embodiment, a controller may verify that a user or associated electronic device are near a smart device to authorize a voice command.

Systems and methods for detecting fake voice commands to smart devices

A method may include receiving, via a processor, a request for payment of a payment amount from a first computing system. The method may also involve receiving a location of the first computing system, identifying one or more automatic teller machines (ATMs) based on the location of the first computing system, generating an image configured to cause the one or more ATMs to dispense funds that correspond to the payment amount, and sending the image to the first computing system.

System for incentivizing transition from physical card to mobile pay

Methods and systems can protect information shown on a screen of a device. A user associated with the device can be authenticated, e.g., using photo identification of the user. In response to authenticating the user, data can be displayed on the device. A camera associated with the device can be automatically activated to take one or more images in response to a triggering event, a predetermined time interval, or randomly generated time intervals. An enhanced privacy environment is detected by analyzing the one or more images to identify that there are more than a threshold number of faces or people in the picture, or by identifying that the user is not in the picture based on a comparison of the picture to the photo identification of the user. In response to detecting the enhanced privacy environment, a privacy mode is enabled. The privacy mode can include various security measures such as concealing sensitive content or providing various security notifications.

Confidential information tracking system

Systems and methods for digital integration of financial features between a user and a service provider is provided. For example, if a user device is registered with the service provider, the user device may receive an electronic notification (e.g., calendar entry) related to outstanding account operations. The user device may be able to complete the outstanding account operations by accessing the electronic notification and embedded financial information.

System and method for digital integration of financial features

A system includes a transceiver configured to receive one or more Wi-Fi signals associated with a structure, and a processor having computer-executable instructions. When executed, the instructions are configured to cause the processor to perform operations that include receiving the one or more Wi-Fi signals via the transceiver, comparing the one or more Wi-Fi signals with a signal profile, and determining whether an anomaly activity is occurring in the structure based on comparison between the one or more Wi-Fi signals and the signal profile.

Systems and methods to determine activity via wireless and sound signals

A system and method for detecting deviations in building structures over time is disclosed. The system and method use range images of buildings captured using range imaging cameras (for example, time-of-flight cameras) to construct 3D models with sufficient resolution to detect deviations in structures that may not be obvious from looking at only photographic images. The system can also use augmented reality to project parts of a 3D model over photographic images of a structure to facilitate easy inspection of the structure.

System and method for detecting deviations in building structures using reconstructed 3d models

An artificially intelligent loan recommendation agent and a method of making loan recommendations are disclosed. The artificially intelligent loan recommendation agent can classify applicants into traditional and non-traditional categories. Based on this categorization, the agent may use different information to make loan recommendations for the applicant. For non-traditional applicants, applicant rating information can be used, including ratings of an applicant's professional skills obtained from consumer review sites. The agent can also conduct virtual interviews and analyze body language and speech to determine if an applicant may be lying.

Intelligent loan recommendation agent

Growing community of inventors

San Antonio, TX, United States of America

Carlos Jp Chavez