The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 15, 2021

Filed:

Jun. 04, 2019
Applicant:

Genetec Inc., St-Laurent, CA;

Inventors:

Chris Yigit, Pierrefonds, CA;

Robert Amante, Laval, CA;

Assignee:

GENETEC INC., St-Laurent, CA;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/62 (2013.01); G06K 9/00 (2006.01); G06F 21/84 (2013.01);
U.S. Cl.
CPC ...
G06K 9/00771 (2013.01); G06F 21/6218 (2013.01); G06F 21/84 (2013.01); G06K 9/00744 (2013.01); G06K 2209/15 (2013.01);
Abstract

A system, method and program storage device are provided for automatically associating evidence recorded by a plurality of cameras with a discrete occurrence, including: receiving occurrence data pertaining to the discrete occurrence and storing at least a portion of the occurrence data in an occurrence record; receiving first evidence data comprising at least a video data portion and a metadata portion of the evidence recorded by a first camera of the plurality of cameras and storing it in an evidence record; receiving second evidence data comprising at least a video data portion and a metadata portion of the evidence recorded by a second camera of the plurality of cameras and storing it in the evidence record; automatically associating information stored in the evidence record with information stored in the occurrence record based on a correspondence of at least two criteria including a first criterion of time; identifying, based on the automatic association, a first image data portion of the evidence recorded by the first camera that is related to the discrete occurrence while excluding a second image data portion of the evidence recorded by the first camera that is unrelated to the discrete occurrence; and identifying, based on the automatic association, a third image data portion of the evidence recorded by the second camera that is related to the discrete occurrence while excluding a fourth image data portion of the evidence recorded by the second camera that is unrelated to the discrete occurrence.


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