Patents by Inventor Aleksandra Joanna Sokolowska

Aleksandra Joanna Sokolowska has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Fully automated non-contact remote biometric and health sensing systems, architectures, and methods
    Patent number: 11232857
    Abstract: Systems and methods for fully-automated contact-less biometric measurement include receiving a stream of image frames from an internet capable device. Frame data is extracted from the stream of image frames. A predictive load balancer selects a worker server based on a load prediction. An interface delivery server communicates the frame data from the internet capable device to the worker server. A set of patient face images captured by the frame data are extracted. A facial recognition machine learning model determines a patient identity associated with the set of patient face images of the frame data. A shared memory system stores the set of patient face images. The worker server determines biometric measurements based on the set of patient face images in the shared memory system using independent biometric data processing pipelines with shared access to the shared memory system for inter-process communication.
    Type: Grant
    Filed: October 1, 2019
    Date of Patent: January 25, 2022
    Assignee: Brainworks Foundry, Inc.
    Inventors: Phillip Alvelda, VII, Markus Krause, Zvi Huber, Todd Allen Stiers, Aleksandra Joanna Sokolowska
  • Fully Automated Non-Contact Remote Biometric and Health Sensing Systems, Architectures, and Methods
    Publication number: 20200105400
    Abstract: Systems and methods for fully-automated contact-less biometric measurement include receiving a stream of image frames from an internet capable device. Frame data is extracted from the stream of image frames. A predictive load balancer selects a worker server based on a load prediction. An interface delivery server communicates the frame data from the internet capable device to the worker server. A set of patient face images captured by the frame data are extracted. A facial recognition machine learning model determines a patient identity associated with the set of patient face images of the frame data. A shared memory system stores the set of patient face images. The worker server determines biometric measurements based on the set of patient face images in the shared memory system using independent biometric data processing pipelines with shared access to the shared memory system for inter-process communication.
    Type: Application
    Filed: October 1, 2019
    Publication date: April 2, 2020
    Inventors: Phillip Alvelda, VII, Markus Krause, Zvi Huber, Todd Allen Stiers, Aleksandra Joanna Sokolowska