View source for 20240046519. THERMAL CAMERA DAISY CHAIN simplified abstract (Delta Thermal, Inc.)

=THERMAL CAMERA DAISY CHAIN=


==Organization Name==

[[:Category:Delta Thermal, Inc.|Delta Thermal, Inc.]]


[[Category:Delta Thermal, Inc.]]

==Inventor(s)==

[[:Category:Andrew Griffis of Tucson AZ (US)|Andrew Griffis of Tucson AZ (US)]][[Category:Andrew Griffis of Tucson AZ (US)]]

==THERMAL CAMERA DAISY CHAIN - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240046519 titled 'THERMAL CAMERA DAISY CHAIN

==Simplified Explanation==

The abstract describes a thermal camera system that is capable of mapping and calibrating thermal images. The system consists of multiple thermal cameras connected in a daisy-chain formation and a computing device that is connected to the base thermal camera. The computing device is designed to accept a distorted RGB image, convert it into an array image, and then undistort the array image using a barrel transformation to generate an undistorted RGB image. The system also maps the corner elements of the thermal cameras to predefined coordinates to create a thermal angular mapping, and then maps this mapping to a distorted thermal image using a 2nd-degree parabola mapping process.

* The system includes multiple thermal cameras connected in a daisy-chain formation.
* A computing device is connected to the base thermal camera.
* The computing device accepts a distorted RGB image and converts it into an array image.
* The array image is undistorted using a barrel transformation to generate an undistorted RGB image.
* The corner elements of the thermal cameras are mapped to predefined coordinates to create a thermal angular mapping.
* The thermal angular mapping is then mapped to a distorted thermal image using a 2nd-degree parabola mapping process.

Potential Applications:
* Thermal imaging in various industries such as manufacturing, construction, and healthcare.
* Surveillance and security systems.
* Firefighting and search and rescue operations.
* Energy efficiency monitoring in buildings.

Problems Solved:
* Distortion correction of RGB images captured by thermal cameras.
* Mapping of thermal angular coordinates to generate accurate thermal images.
* Calibration of thermal cameras to ensure accurate temperature measurements.

Benefits:
* Improved accuracy and reliability of thermal imaging.
* Enhanced visualization and interpretation of thermal data.
* Simplified calibration process for thermal cameras.
* Increased efficiency in various applications that rely on thermal imaging technology.


==Original Abstract Submitted==

a thermal camera system configured for red-green-blue (rgb) to thermal image mapping and calibration of a thermal camera. the system may comprise a plurality of thermal cameras connected in a daisy-chain formation, and a computing device communicatively coupled to the base thermal camera. the computing device configured to accept a distorted rgb image, convert it into an array image, undistort the array image into an undistorted rgb image through use of a barrel transformation, map each corner element of the plurality of corner elements to a predefined coordinate to generate a thermal angular mapping, and map the thermal angular mapping to a distorted thermal image by a 2nd-degree parabola mapping process.



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