Patents by Inventor Michael LAHIFF

Michael LAHIFF 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).

  • Publication number: 20230396737
    Abstract: An intelligent video surveillance system is disclosed which performs real-time analytics on a live video stream. The system includes a training database populated with frames of actual video of objects of interest taken in a relevant environment. A subset of the frames include bounding boxes and/or bounding polygons which can be augmented. The training database also includes classification/annotation of data/labels relevant to the object of interest, a person carrying the object of interest, and/or the background or environment. The training database is searchable by the classification/annotation of data/labels.
    Type: Application
    Filed: August 11, 2023
    Publication date: December 7, 2023
    Inventors: Timothy Sulzer, Michael Lahiff, Marcus Day
  • Patent number: 11765321
    Abstract: An intelligent video surveillance system is disclosed which performs real-time analytics on a live video stream. The system includes a training database populated with frames of actual video of objects of interest taken in a relevant environment. A subset of the frames include bounding boxes and/or bounding polygons which can be augmented. The training database also includes classification/annotation of data/labels relevant to the object of interest, a person carrying the object of interest, and/or the background or environment. The training database is searchable by the classification/annotation of data/labels.
    Type: Grant
    Filed: April 6, 2022
    Date of Patent: September 19, 2023
    Assignee: ZeroEyes, Inc.
    Inventors: Timothy Sulzer, Michael Lahiff, Marcus Day
  • Publication number: 20220230442
    Abstract: An intelligent video surveillance system is disclosed which performs real-time analytics on a live video stream. The system includes a training database populated with frames of actual video of objects of interest taken in a relevant environment. A subset of the frames include bounding boxes and/or bounding polygons which can be augmented. The training database also includes classification/annotation of data/labels relevant to the object of interest, a person carrying the object of interest, and/or the background or environment. The training database is searchable by the classification/annotation of data/labels.
    Type: Application
    Filed: April 6, 2022
    Publication date: July 21, 2022
    Applicant: ZeroEyes, Inc.
    Inventors: Timothy Sulzer, Michael Lahiff, Marcus Day
  • Patent number: 11308335
    Abstract: An intelligent video surveillance system is disclosed which performs real-time analytics on a live video stream. The system includes a training database populated with frames of actual video of objects of interest taken in a relevant environment. A subset of the frames include bounding boxes and/or bounding polygons which can be augmented. The training database also includes classification/annotation of data/labels relevant to the object of interest, a person carrying the object of interest, and/or the background or environment. The training database is searchable by the classification/annotation of data/labels.
    Type: Grant
    Filed: May 18, 2020
    Date of Patent: April 19, 2022
    Assignee: ZeroEyes, Inc.
    Inventors: Timothy Sulzer, Michael Lahiff, Marcus Day
  • Publication number: 20200364468
    Abstract: An intelligent video surveillance system is disclosed which performs real-time analytics on a live video stream. The system includes a training database populated with frames of actual video of objects of interest taken in a relevant environment. A subset of the frames include bounding boxes and/or bounding polygons which can be augmented. The training database also includes classification/annotation of data/labels relevant to the object of interest, a person carrying the object of interest, and/or the background or environment. The training database is searchable by the classification/annotation of data/labels.
    Type: Application
    Filed: May 18, 2020
    Publication date: November 19, 2020
    Applicant: ZEROEYES LLC
    Inventors: Timothy SULZER, Michael LAHIFF, Marcus DAY