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:
Sep. 30, 2025

Filed:

Nov. 04, 2022
Applicant:

Flir Systems Ab, Täby, SE;

Inventors:

Austin A. Richards, Goleta, CA (US);

Marcel Tremblay, Goleta, CA (US);

Jeffrey D. Frank, Goleta, CA (US);

Andres Prieto-Moreno, Goleta, CA (US);

Assignee:

FLIR Systems AB, Täby, SE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 40/10 (2022.01); G01J 5/00 (2022.01); G01J 5/0806 (2022.01); G01J 5/20 (2006.01); G06T 7/00 (2017.01); G06T 7/33 (2017.01); G06T 7/70 (2017.01); G06V 10/143 (2022.01); G06V 10/764 (2022.01); G06V 20/52 (2022.01); H04N 23/90 (2023.01);
U.S. Cl.
CPC ...
G06V 40/10 (2022.01); G01J 5/0025 (2013.01); G01J 5/0806 (2013.01); G01J 5/20 (2013.01); G06T 7/33 (2017.01); G06T 7/70 (2017.01); G06T 7/97 (2017.01); G06V 10/143 (2022.01); G06V 10/764 (2022.01); G06V 20/52 (2022.01); H04N 23/90 (2023.01); G01J 2005/0077 (2013.01); G01J 2005/202 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/10048 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Systems and methods include an infrared camera configured to capture an infrared image of a scene, a visible-light camera configured to capture a visible-light image of the scene, and a logic device configured to simultaneously capture a pair of images of the scene comprising the infrared image of the scene and the visible image of the scene, align the pair of images so that a pixel location in one of the pair of images has a corresponding pixel location in the other image, classify the visible image, annotate the infrared image based, at least in part, on the classification of the visible image, and add the annotated infrared image to a neural network training dataset for use in training a neural network for infrared image classification. A beamsplitter is arranged to reflect a first image of the scene towards the infrared camera and pass through a second image of the scene to the visible-light camera, and a first blackbody is attached thereto and positioned in a field of view of the infrared camera.


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