United Services Automobile Association (usaa)

Seth E Ethington

Victor Kwak

William Daniel Farmer

Pooja Krishnaswamy

Anto Chirayil Thomas

Aaron Robert Kay

Jesse Williams Plymale

Timothy Shiveley

Daniel Scott Veibell

Lawrence Z Lu

Dylan Patterson

Adam Spencer Newman

Benjamin D Ethington

Bharat Prasad

Gregory Brian Meyer

Yevgeniy Viatcheslavovich Khmelev

Emily Margaret Gray

Gabriel Carlos Fernandez

John Chandler Hopkins

Zakery Layne Johnson

Sharon Kay Haverlah

Heather Hernandez

Michael Scott McQuarrie

Hudson Reid Jameson

Casey Brumbaugh

Jonathan F Cholak

Amy R Marquez

Corey Pickrel

Adam S Newman

The AUTOMATIC REMOTE DEPOSIT IMAGE PREPARATION APPARATUSES, METHODS AND SYSTEMS (hereinafter 'MultiCrop') transforms uploaded check images and check deposit information inputs via MultiCrop components image into deposit confirmation outputs. For example, in one embodiment, a user may employ a personal computer connected to a web camera, and/or a smartphone with a built-in camera to initiate the remote deposit by holding a check in front of the camera, and the MultiCrop may capture images of the check and send them to a financial institution for deposit processing.

Automatic remote deposit image preparation apparatuses, methods and systems

A system may include sensors that may acquire health data related to an individual. The system may also include a processor that may receive trip data associated with a current location of the individual and a destination location for the individual, traffic condition data associated with routes between the current location and the destination location, and weather related data associated with the routes. The processor may also receive the health data from the sensors and determine whether the individual is associated with a driver assessment score above a threshold based on the trip data, the traffic condition data, the weather data, the health data, or any combination thereof. The processor may then send an activation signal to a vehicle control system in response to the driver assessment score being above the threshold, such that the activation signal may enable the vehicle control system to control operations of a vehicle.

Systems and methods for controlling vehicle systems based on driver assessment

A structure authentication system includes a sensor configured to sense identifying features of a three-dimensional (3D) printed structure and generate identifying feature data based on the identifying features, as well as a processor configured to receive, from the sensor, the identifying feature of the 3D printed structure. The processor is also configured to analyze the identifying feature data along with a non-fungible token (NFT) database that correlates a plurality of NFTs to a plurality of identifying feature data to determine whether the 3D printed structure is associated with an NFT within the NFT database. Additionally, the processor is configured to query a blockchain to determine whether the NFT is authentically associated with the 3D printed structure. The processor is also configured to, in response to determining that the NFT is authentically associated with the 3D printed structure, send a notification to a user device indicating that the 3D printed structure is authentic.

System and method for structure authentication using NFTS

A system in accordance with present embodiments includes a device comprising a sensor configured to detect sensed data for an individual. The sensed data comprises data related to health of the individual. The system also includes a health analysis system communicatively coupled to the device. The health analysis system comprises a memory and a processor. The memory is configured to store instructions that cause the processor to receive the sensed data from the device, analyze the sensed data to determine health trend data for the individual, retrieve group health trend data associated with the health trend data for the individual, generate a predicted health trend for the individual based at least in part on a comparison between the health trend data for the individual and the group health trend data, and adjust offered products, premiums, or both, based on predicted health trend for the individual.

Systems and methods for offering products based on medical assessments

Machine learning technology can analyze in real-time the data from a call between a person and a customer service representative. Based on this analysis, a server can determine a sentiment score that describes a sentiment expressed by the person or the customer service representative. If the server determines that the sentiment score is less than or equal to a pre-determined value, the server can inform the customer service representative's manager so that the manager can take further action to help the person and/or the customer service representative.

Machine learning based call routing system

Techniques are described for managing ownership and transfers of physical objects using information stored on a distributed ledger such as a blockchain. A distributed ledger may securely store object data describing the current owner(s) of an object, the previous owner(s) of the object, the history of transfers of the object, and/or other information regarding the object. Use of a distributed ledger may provide an immutable, readily auditable record of the current ownership and ownership history of the object. Each user participating in the system may be assigned a unique identifier to be used for conducting transactions on the distributed ledger network. A user may also be provided with a digital security token such as a cryptographic key that is useable to authenticate the user and enable access to the object data stored on the distributed ledger(s).

Data access management on a distributed ledger system

A method, apparatus and system are disclosed for capturing an image of an item identifier by a wearable sensor. The item identifier can be analyzed to identify a specific item. The specific item can then be referenced to display information on the specific item, and display the results of analysis made with reference to the specific item.

Wearable electronic devices for automated shopping and budgeting with a wearable sensor

Machine learning based call routing-system

Methods and systems for remote deposit of financial instruments are disclosed. The method may include using a mobile device such as a tablet computer or smart phone to automatically review live video data to determine a location of a check in the video image, and to obtain a still photo of the check image in response to determining that the mobile device is being held at a desired steadiness. The method may include providing a user with visual feedback that the mobile device is actively tracking the check. The method may further include cropping the captured check image and sending only a portion of the image to a remote server to verify a check MICR line has been captured. The method may further include a virtual endorsement module executable by the mobile device to apply endorsement information to a check image. A mobile device with a processor and memory containing instructions to execute the method is also disclosed.

System and method for remote deposit of financial instruments

Growing community of inventors

San Antonio, TX, United States of America

Seth E Ethington