Granted Patent
B2
US 12,372,459 · App. 18/649,745 · Granted Jul 29, 2025
Window obscuration sensors for mobile gas and chemical imaging cameras
Inventors:
Ryan Mallery (Houston, TX); Ohad Israel Balila (Friendswood, TX); Robert Timothy Kester (Friendswood, TX)
Assignee:
Rebellion Photonics, Inc.
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Abstract
An infrared (IR) imaging system for determining a concentration of a target species in an object is disclosed. The imaging system can include an optical system including a focal plane array (FPA) unit behind an optical window. The optical system can have components defining at least two optical channels thereof, said at least two optical channels being spatially and spectrally different from one another. Each of the at least two optical channels can be positioned to transfer IR radiation incident on the optical system towards the optical FPA. The system can include a processing unit containing a processor that can be configured to acquire multispectral optical data representing said target species from the IR radiation received at the optical FPA. One or more of the optical channels may be used in detecting objects on or near the optical window, to avoid false detections of said target species.
Claims (31)
1. An infrared imaging system comprising:
a plurality of camera systems configured to acquire infrared image data through an optical window;
a plurality of channels comprising window obscuration sensors; and
a processing unit configured to:
detect at least one camera system of the plurality of camera systems being obscured by an object based on at least parallax differences between data received from the window obscuration sensors in the plurality of channels, and
adjust first infrared image data from the at least one camera system of the plurality of camera systems by boosting infrared signals of the at least one camera system to compensate for the obscuration of the at least one camera system.
2. The infrared imaging system of claim 1 , wherein, when adjusting the first infrared image data, the processing unit is configured to compensate for effects of attenuation due to the obscuration of the at least one camera system.
3. The infrared imaging system of claim 1 , wherein the processing unit is configured to, in response to detecting the obscuration of the at least one camera system, generate a window obstruction alert.
4. The infrared imaging system of claim 1 , wherein the plurality of camera systems comprises a first camera system configured to acquire the first infrared image data and a second camera system configured to acquire second infrared image data.
5. The infrared imaging system of claim 4 , wherein, when detecting the obscuration of the at least one camera system, the processing unit is further configured to:
determine contrast levels based on the first infrared image data and the second infrared image data, and
detect the obscuration of the at least one camera system based on the contrast levels.
6. The infrared imaging system of claim 4 , wherein the first camera system and the second camera system comprise a first optical channel and a second optical channel, respectively, from a plurality of spatially and spectrally distinct optical channels.
7. The infrared imaging system of claim 6 , wherein a second focal length associated with second imaging lenses of the second optical channel exceeds a first focal length associated with first imaging lenses of the first optical channel.
8. The infrared imaging system of claim 6 , wherein a depth of field associated with the first optical channel extends beyond a depth of the optical window.
9. The infrared imaging system of claim 4 , wherein the processing unit is configured to detect a target species based on the first infrared image data and the second infrared image data.
10. The infrared imaging system of claim 1 , wherein the data received from the window obscuration sensors are associated with center two channels of the plurality of channels.
11. A computer-implement method comprising:
detecting at least one camera system of a plurality of camera systems being obscured by an object based on at least parallax differences between data received from window obscuration sensors in a plurality of channels, and
adjusting first infrared image data from the at least one camera system of the plurality of camera systems by boosting infrared signals of the at least one camera system to compensate for the obscuration of the at least one camera system.
12. The computer-implement method of claim 11 , wherein adjusting the first infrared image data comprises compensating for effects of attenuation due to the obscuration of the at least one camera system.
13. The computer-implement method of claim 11 further comprising, in response to detecting the obscuration of the at least one camera system, generating a window obstruction alert.
14. The computer-implement method of claim 11 , wherein the plurality of camera systems comprises a first camera system configured to acquire the first infrared image data and a second camera system configured to acquire second infrared image data.
15. The computer-implement method of claim 14 , wherein detecting the obscuration of the at least one camera system comprises:
determining contrast levels based on the first infrared image data and the second infrared image data, and
detecting the obscuration of the at least one camera system based on the contrast levels.
16. The computer-implement method of claim 14 , wherein the first camera system and the second camera system comprise a first optical channel and a second optical channel, respectively, from a plurality of spatially and spectrally distinct optical channels.
17. The computer-implement method of claim 16 , wherein a second focal length associated with second imaging lenses of the second optical channel exceeds a first focal length associated with first imaging lenses of the first optical channel.
18. The computer-implement method of claim 16 , wherein a depth of field associated with the first optical channel extends beyond a depth of an optical window of the plurality of camera systems.
19. The computer-implement method of claim 14 further comprising detecting a target species based on the first infrared image data and the second infrared image data.
20. The computer-implement method of claim 11 , wherein the data received from the window obscuration sensors are associated with center two channels of the plurality of channels.
Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST
Recorded May 10, 2024
From: MALLERY, RYAN; BALILA, OHAD ISRAEL; KESTER, ROBERT TIMOTHY
To: REBELLION PHOTONICS, INC.
Reel/Frame 067379/0818 →
Continuity (8)
Provisional Application
62584684
· Nov 10, 2017
Provisional Application
62584076
· Nov 9, 2017
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