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:
Aug. 26, 2025

Filed:

Oct. 05, 2022
Applicant:

Teledyne Flir, Llc, Thousand Oaks, CA (US);

Inventors:

Louis Tremblay, Goleta, CA (US);

Pierre M. Boulanger, Goleta, CA (US);

Justin Muncaster, Goleta, CA (US);

James Klingshirn, Goleta, CA (US);

Robert Proebstel, Goleta, CA (US);

Giovanni Lepore, Peabody, MA (US);

Eugene Pochapsky, Freeport, PA (US);

Katrin Strandemar, Rimbo, SE;

Nicholas Högasten, Santa Barbara, CA (US);

Karl Rydqvist, Täby, SE;

Theodore R Hoelter, Santa Barbara, CA (US);

Jeremy P. Walker, Oakmont, PA (US);

Per O. Elmfors, Goleta, CA (US);

Austin A. Richards, Santa Barbara, CA (US);

Dylan M. Rodriguez, Goleta, CA (US);

John C. Day, Goleta, CA (US);

Hugo Hedberg, Täby, SE;

Tien Nguyen, Wilsonville, OR (US);

Fredrik Gihl, Täby, SE;

Rasmus Loman, Täby, SE;

Assignee:

Teledyne FLIR, LLC, Thousand Oaks, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/52 (2022.01); A61B 5/00 (2006.01); A61B 5/01 (2006.01); G01J 5/00 (2022.01); G01J 5/70 (2022.01); G06T 7/73 (2017.01); G06V 10/25 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 40/16 (2022.01); G08B 21/18 (2006.01); H04N 23/45 (2023.01); H04N 23/69 (2023.01); H04N 23/698 (2023.01);
U.S. Cl.
CPC ...
G06V 20/52 (2022.01); A61B 5/015 (2013.01); A61B 5/7264 (2013.01); A61B 5/746 (2013.01); G01J 5/0025 (2013.01); G01J 5/70 (2022.01); G06T 7/73 (2017.01); G06V 10/25 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 40/168 (2022.01); G08B 21/182 (2013.01); H04N 23/45 (2023.01); H04N 23/69 (2023.01); H04N 23/698 (2023.01); G01J 2005/0077 (2013.01); G06T 2200/24 (2013.01); G06T 2207/10048 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30201 (2013.01); G06V 2201/07 (2022.01);
Abstract

Systems and methods include an image capture component configured to capture infrared images of a scene, and a logic device configured to identify a target in the images, acquire temperature data associated with the target based on the images, evaluate the temperature data and determine a corresponding temperature classification, and process the identified target in accordance with the temperature classification. The logic device identifies a person and tracks the person across a subset of the images, identify a measurement location for the target in a subset of the images based on target feature points identified by a neural network, and measure a temperature of the location using corresponding values from one or more captured thermal images. The logic device is further configured calculate a core body temperature of the target using the temperature data to determine whether the target has a fever and calibrate using one or more black bodies.


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