IP Library Granted Patent US 12,350,016
Granted Patent B2
US 12,350,016 · App. 17/556,975 · Granted Jul 8, 2025

Thermal imaging temperature measurement of inner canthus systems and methods

Inventors: Travis Frecker (Goleta, CA); Louis Tremblay (Goleta, CA); Charles Gelinas (Goleta, CA); Anton Gronholm (Goleta, CA); Julia Kogan (Modiin Macabim Reut, IL); Ariel Nagauker (Rosh Ha'Ayin, IL); Henning Hagman (Täby, SE); Petra Maretic (Täby, SE); Tien C. Nguyen (Täby, SE); Katrin Strandemar (Täby, SE)
Assignee: TELEDYNE FLIR COMMERCIAL SYSTEMS, INC.
A61B5/01A61B3/14A61B5/0077A61B5/7203A61B5/7246A61B5/7264A61B5/7282A61B5/743G01J5/0025G01J5/48G01J5/80G06T7/62G06V10/761G06V40/161G16H30/40H04N23/23A61B2560/0431A61B2576/02G01J2005/0077G06T2207/20084G06T2207/30041G06T2207/30201
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Quick Facts
Patent No.
US 12,350,016
App. No.
17/556,975
Granted
Jul 8, 2025
Kind
B2
Abstract

Various techniques are disclosed to provide for improved human body temperature detection using thermal images of an inner canthus. In one example, a method includes capturing a thermal image of a human being using a thermal imager. The method also includes detecting a face and an inner canthus of the human being in the thermal image using an artificial neural network. The method also includes determining a temperature measurement of the inner canthus using corresponding pixels of the thermal image. The method also includes determining a body temperature of the human being using the temperature measurement. Additional methods and systems are also provided.

Claims (61)

1. A method comprising:

capturing a thermal image of a human being using a thermal imager;

detecting, using an artificial neural network of a detection system, a face and an inner canthus of the human being in the thermal image;

determining a temperature measurement of the inner canthus using corresponding pixels of the thermal image;

determining a correction term as a function of a distance between the thermal imager and the human being;

applying the correction term to the temperature measurement prior to the detecting to compensate for attenuation associated with the distance; and

determining a body temperature of the human being using the temperature measurement; and

wherein the determining the temperature measurement, the determining the correction term, the applying the correction term, and the determining the body temperature are performed by a logic device, and wherein the artificial neural network and the detection system are implemented by the logic device.

2. The method of claim 1 , further comprising:

determining a number of pixels of the thermal image associated with a width and/or an area of the face; and

determining the distance using a predetermined association between the number of pixels and the distance.

3. The method of claim 1 , further comprising preprocessing a plurality of thermal images to determine a correlation between the distance and the correction term.

4. The method of claim 1 , further comprising:

detecting a face covering in the thermal image; and

applying a correction term to the temperature measurement prior to the detecting to compensate for attenuation associated with the face covering.

5. A method comprising:

capturing a thermal image of a human being using a thermal imager;

detecting, using an artificial neural network of a detection system, a face and an inner canthus of the human being in the thermal image;

determining a temperature measurement of the inner canthus using corresponding pixels of the thermal image;

determining a body temperature of the human being using the temperature measurement; and

generating a notification to identify an elevated body temperature in response to the body temperature exceeding a threshold; and

wherein the detecting the face and the inner canthus, the determining the temperature measurement, the determining the body temperature, and the generating the notification are performed by a logic device, and wherein the artificial neural network and the detection system are implemented by the logic device.

6. The method of claim 5 , further comprising:

repeating the capturing, the detecting, and the determining a temperature measurement for a plurality of human beings; and

processing the determined temperature measurements in accordance with a statistical model to generate a running average temperature measurement corresponding to the threshold.

7. The method of claim 1 , further comprising:

displaying the thermal image; and

displaying the body temperature with the thermal image.

8. The method of claim 1 , further comprising:

determining a distance between the thermal imager and the human being; and

displaying a notification instructing the human being to move relative to the thermal imager in response to the determined distance to improve an accuracy of the temperature measurement.

9. The method of claim 1 , wherein the method is performed by a portable thermal camera comprising the thermal imager.

10. A system comprising:

a thermal imager; and

a logic device configured to:

operate the thermal imager to capture a thermal image of a human being;

detect, using an artificial neural network of a detection system implemented by the logic device, a face and an inner canthus of the human being in the thermal image;

determine a temperature measurement of the inner canthus using corresponding pixels of the thermal image;

determine a correction term as a function of a distance between the thermal imager and the human being; and

apply the correction term to the temperature measurement prior to the detecting to compensate for attenuation associated with the distance; and

determine a body temperature of the human being using the temperature measurement.

11. The system of claim 10 , wherein the logic device is configured to:

determine a number of pixels of the thermal image associated with a width and/or an area of the face; and

determine the distance using a predetermined association between the number of pixels and the distance.

12. The system of claim 10 , wherein the logic device is configured to preprocess a plurality of thermal images to determine a correlation between the distance and the correction term.

13. The system of claim 10 , wherein the logic device is configured to:

detect a face covering in the thermal image; and

apply a correction term to the temperature measurement prior to the detecting to compensate for attenuation associated with the face covering.

14. The system of claim 10 , wherein the logic device is configured to generate a notification to identify an elevated body temperature in response to the body temperature exceeding a threshold.

15. The system of claim 14 , wherein the logic device is configured to:

repeat the capturing, the detecting, and the determining a temperature measurement for a plurality of human beings; and

process the determined temperature measurements in accordance with a statistical model to generate a running average temperature measurement corresponding to the threshold.

16. The system of claim 10 , further comprising a display configured to:

display the thermal image; and

display the body temperature with the thermal image.

17. The system of claim 10 , wherein the logic device is configured to:

determine a distance between the thermal imager and the human being; and

generate a notification instructing the human being to move relative to the thermal imager in response to the determined distance to improve an accuracy of the temperature measurement.

18. The system of claim 10 , wherein the system is a portable thermal camera.

19. The method of claim 1 , further comprising generating a notification associated with the distance, wherein the notification indicates the human being is positioned outside a preferred distance range from the thermal imager.

20. The system of claim 10 , wherein the logic device is further configured to generate a notification associated with the distance, wherein the notification indicates the human being is positioned outside a preferred distance range from the thermal imager.

Assignments (2)
CHANGE OF NAME Recorded Mar 11, 2022
From: FLIR COMMERCIAL SYSTEMS, INC.
To: TELEDYNE FLIR COMMERCIAL SYSTEMS, INC.
Reel/Frame 059362/0743 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 1, 2022
From: FRECKER, TRAVIS; TREMBLAY, LOUIS; GELINAS, CHARLES; GRONHOLM, ANTON; KOGAN, JULIA; NAGAUKER, ARIEL; HAGMAN, HENNING; MARETIC, PETRA; NGUYEN, TIEN C.; STRANDEMAR, KATRIN
To: FLIR COMMERCIAL SYSTEMS, INC.
Reel/Frame 059136/0483 →
Continuity (4)
Continuation PCTUS2021039267 · Jun 25, 2021
Provisional Application 63158273 · Mar 8, 2021
Provisional Application 63044516 · Jun 26, 2020
Related Publication 20220110528A1 · Apr 14, 2022
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