United Services Automobile Association (usaa)

Gregory David Hansen

Andre Rene Buentello

Jose L Romero, Jr

Ashley Raine Philbrick

Nathan Lee Post

Janelle Denice Dziuk

Ruthie D Lyle

Emily Margaret Gray

Yevgeniy Viatcheslavovich Khmelev

David Patrick Dixon

Will Kerns Maney

Gregory B Yarbrough

William Preston Culbertson, Ii

Megan Sarah Jennings

Samip Dilip Mehra

Charles Balasingh

Oscar Guerra

Nolan Serrao

Christopher M Russell

Pooja Krishnaswamy

Noemy Diosdado

Manfred Amann

Gregory Brian Meyer

Stacy Callaway Huggar

Jerry John Maestas

Brian Francisco Shipley

Justin R Nash

Mark Anthony Lopez

Kelly Q Baker

Steven Michael Bernstein

Ana Maldonado

Nina Cooper

Galo M Alava

Keegan Patrick Hayes

Michelle Susan Croak

Reynaldo Medina, Iii

Justin Dax Haslam

Victor Kwak

Oscar Roberto Tijerina

Courtney St Martin

Donnette L Moncrief Brown

Andrea Richardson

Anto Chirayil Thomas

Edward Manuel Alonzo, Iii

Curtis Mark Bell

Valmore M Smith

Madhusudhana Rao Abburi

Carlos J P Chavez

Carlos Jp Chavez

Jon Daniel McEachron

Dustin Bowen Bitter

Jon D Mceachron

Will Kerns Maney, Jr

Nina Schuessler

Darrin Keith Wylie

Lance David Brown

Catherine Low

Karen Barnett Niemeyer

Yolandra Jovan Hendrix

Liana Nicole Hamel

Brittney Chiu Childers

Evelyn Teresa Rimmer

William Preston Culbertson

A system includes one or more processors configured to receive one or more sets of LIDAR sensor data corresponding to damage of a property. The system is configured to analyze the one or more sets of LIDAR sensor data and determine a repair recommendation and recommended time period of repair for the associated damage of the property. The system may also detect changes to property condition over time and monitor condition of the property over time via LIDAR sensors and alert the user when property condition decreases and a repair is recommended.

Systems and methods for sensor-based detection of property damage

Methods, systems, and apparatus, including computer programs encoded on computer storage media, to process audio and visual data. One of the methods includes receiving, from a mobile device, image data and audio data, wherein the image data and audio data were obtained within the same time frame. The method includes processing the image data to identify a first set of facts. The method includes processing the audio data to identify a second set of facts. The method includes processing meta-data associated with the image data to identify a third set of facts. The method also includes performing at least one process using the first set of facts, the second set of facts, and the third set of facts.

Digital imagery, audio, and meta-data

Technology for determining a queue position of a call from a user can include receiving, at an enterprise, the call from a user device associated with the user. The user device includes an application associated with the enterprise. The call is placed into an on-hold queue. A weighted level of importance associated with the call is determined based on call history information associated with the user device and call frequency associated with the user. The weighted level of importance is compared to at least one weight threshold. A wait time for the call is decreased based on the weighted level of importance meeting or exceeding the at least one weight threshold.

Method and apparatus for determining an on-hold queue position of a call

A smart fastener system includes a smart fastener configured to couple two components of a structure to one another, wherein the smart fastener includes one or more sensors that are configured to monitor one or more parameters. The smart fastener system also includes one or more processors configured to receive signals indicative of the one or more parameters, assess damage to the structure based on the one or more parameters, and provide a notification that indicates the damage to the structure in response to determining a presence of the damage to the structure.

Smart fastener systems and methods

Smart gear, which includes electrically conductive fabric, is provided to monitor health parameters, conduct transactions, and generate power. For example, the smart gear may include one or more sensors coupled to the fabric and/or electrically conductive fibers woven into the fabric. The one or more sensors may monitor health parameters such as breathing patterns, sleep patterns, heart murmurs, and so forth. The smart gear may include one or more wireless regions that power electronic devices based on inductive charging.

Smart gear

An automated teller system is provided that includes a user interface configured to receive user input, a bill counter configured to assemble cash, and a sanitizer configured to receive the cash in a sanitized condition and dispense the cash in the sanitized condition via an access port. The automated teller system also includes one or more processors and memory storing machine-readable instructions that, when executed by the one or more processors, are configured to cause the one or more processors to control the bill counter to assemble the cash based on a withdrawal request, the withdrawal request received as the user input via the user input, to control sanitization of the cash by the sanitizer to provide the cash in the sanitized condition and to control the cash dispenser to dispense the cash in the sanitized condition via the access port.

Systems and methods for sanitized transactions with automatic teller machine

Magnetic stripe cards including a skimmer detection mechanism detect unauthorized access to data and information stored on a magnetic strip of a magnetic stripe card by illicit card skimming devices. In one embodiment, a method of detecting an unauthorized scan of confidential data encoded on a magnetic strip portion of a magnetic stripe card having a skimmer detection mechanism includes detecting a scan of the magnetic strip portion, measuring a parameter associated with the scan of the magnetic strip portion by the skimmer detection mechanism, and comparing the measured parameter to a baseline value associated with the parameter. Upon determining that the parameter exceeds the baseline value, an unauthorized scan of confidential data encoded on the magnetic strip portion of the magnetic stripe card is detected.

Magnetic stripe card with skimmer detection mechanism

A user identification system includes one or more processors configured to receive a first indication of a vehicle identity of a vehicle at an entrance of a location and retrieve a user profile associated with the vehicle identity from a user profile database. The user profile includes one or more user identities of one or more users authorized to enter the location. The one or more processors are configured to receive a second indication of a current user identity of a current user positioned in the vehicle, determine that the current user identity corresponds to a particular user identity of the one or more user identities, and output a control signal indicative of instructions to enable access to the location in response to the current user identity corresponding to the particular user identity.

User identification system for occupants of a vehicle

Data analysis, filter, and presentation techniques are described for an example call management system. An example method for a data management system includes receiving, from a user device, an account identifier of a first person, receiving, from the user device, a first message related to a topic of conversation to be discussed during a telephone call with the first person, determining, based on the account identifier and within a pre-determined time period, a presence of a set of data that describes conversation(s) from prior telephone call(s)/chat(s) with the first person, and sending, to a computer, at least some data from the set of data and a second message that indicates that the telephone call is mapped to a second person, where the computer is configured to display on a screen the second message and a presentation option that presents the at least some data via the computer.

Data analysis, filter and presentation techniques for call management systems

Systems and methods ingest extensive data regarding real-time transactions to determine correlation between a variety of parameters and possible fraud events. Possible fraud can be predicted, and notifications delivered to a fraud team. Correlations can be discovered using unsupervised machine learning, and particular systems and methods can utilize natural language processing to both receive and provide information concerning fraud risk and countermeasures.

Fraud detection using augmented analytics

A method and system of providing users with microlocation-specific configuration modes during access of an application. The system identifies tokens based on sensor data during each application access session and triggers the change in configuration based on detection of specific tokens associated with a particular microlocation. The various configuration modes can be used to alter audio, display, and other settings for the application.

System and method for microlocation-based with tokenized virtual dynamic software applications (app) experiences

The present disclosure is related to a smart irrigation system that includes a first sensor configured to monitor a moisture level at a location and a second sensor configured to monitor a contamination level within a fluid. The smart irrigation system also includes one or more processors configured to receive a first signal from the first sensor, receive a second signal from the second sensor, and route the fluid to the location in response to the first signal indicating that the moisture level is below a moisture threshold and the second signal indicating that the contamination level is below a contamination threshold.

Smart irrigation system

The embodiments provide a system and method for improved CAPTCHA challenges that utilize user-specific information. In some embodiments, personalized information about assets currently or previously owned assets, including properties and/or vehicles, are collected. The system then builds a dataset (a 'user-specific CAPTCHA dataset') that is comprised of images including the user-owned assets. The user-specific CAPTCHA dataset can then be used to create personalized, or user-specific, CAPTCHA challenges that include images from the datatset. For systems that implement CAPTCHA challenges for multiple different users, each user-specific dataset may be associated to a particular user identifier (such as a username or email address).

System and method for user-specific captchas

A system includes a building that has a wall that is at least partially covered in a smart paint. The system also includes a sensor that is configured to collect sensor data regarding a condition within the building. The system additionally includes a controller that is operatively coupled to the wall and the smart paint. The controller is configured to receive the sensor data from the sensor, determine whether the condition is present based on the sensor data, and in response to determining the condition is present, cause the smart paint to provide an indication that the condition is present.

Smart home hazard notification system

A first mobile device exchanges information or documentation with a second mobile device after a vehicular incident or collision has occurred. Communication is initiated or triggered based on detection of the incident by a collision detection system and/or based on the first mobile device contactlessly receiving a user identifier from the second mobile device. The contactless communication may be initiated by a service provider system or by the first mobile device. The first mobile device may include a sensor that scans a user identifier associated with the second mobile device. Then, the first mobile device may transmit the user identifier to the service provider system, which initiates or provides a communication channel between the first mobile device and the second mobile device.

Systems and methods for contactless communication

Growing community of inventors

Helotes, TX, United States of America

Gregory David Hansen