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:
July 22, 2024
Publication date:
November 14, 2024
Applicant:
ZeroEyes, Inc.
Inventors:
Timothy Sulzer, Michael Lahiff, Marcus Day
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:
August 11, 2023
Date of Patent:
August 27, 2024
Assignee:
ZeroEyes, Inc.
Inventors:
Timothy Sulzer, Michael Lahiff, Marcus Day
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
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
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