Rebellion Photonics, Inc.

Honeywell International Inc.

Reza Katebi

Patrick Charles O'Driscoll

Chuan Zhao

Mohammad Lotfollahi Sohi

Quan Shen

Amirhossein Rafati

Lori Pike

Kevin Hellman

Francisco Tejada, Jr

Muhammad Samer Abbas

Zachary Nicholas Antosko

Gunjan Goswami

Paul E Crimm

Jaehoon Lee

Bo Fu

Karel Chaloupka

Xiaodan Ma

Patrick Charles O'DRISCOL

Systems, methods, and computer program products for recursive modifications are provided. An example imaging system includes a first infrared (IR) imaging device that generates first IR image data of a first field of view of the first IR imaging device at a first time and a computing device operably connected with the first IR imaging device. The computing device receives the first IR image data from the first IR imaging device and determines a first set of pixels and a second set of pixels from amongst a plurality of pixels associated with the first IR image data. The computing device further determines a first modification protocol for the first set of pixels and determines a second modification protocol for the second set of pixels. In response, the computing device generates a recursive modification input based upon the first and second modification protocols.

Systems, methods, and computer program products for recursive hypespectral imaging

Methods, apparatuses and computer program products for movement of rectangular prisms in a multi-dimensional space are provided.

Methods, apparatuses and computer program products for movement of rectangular prisms through a multi-dimensional space

Systems, methods, and computer program products for infrared (IR) image operations are provided. An example imaging system includes a first IR imaging device configured to generate first IR image data and a second IR imaging device configured to generate second IR image data. The system further includes a computing device that receives the first IR image data from the first IR imaging device and receives the second IR image data from the second IR imaging device. The computing device further determines a first feature representing a position of a gas plume based upon the first IR image data and a second feature representing a position of the gas plume based upon the second IR image data and determines a disparity between the first and second features. The computing device further determines a distance between the imaging system and the gas plume based upon the determined disparity.

Systems, methods, and computer program products for infrared imaging operations

Systems, methods, and computer program products for fugitive emission determinations are provided. An example imaging system includes a first infrared (IR) imaging device configured to generate first IR image data of a field of view of the first IR imaging device that include one or more data entries associated with a fugitive emission from an emission source. The system further includes a computing device operably connected with the first IR imaging device and configured to receive the first IR image data from the first IR imaging device, generate spectral absorption data based on the first IR image data, and determine a gas amount associated with the fugitive emission based upon the spectral absorption data. The computing device also determines a leak rate and leak duration of the fugitive emission based upon the determined gas amount and determines a total emission loss based on the same.

Systems, methods, and computer program products for fugitive emission determinations

Methods, apparatuses, and systems for improving gas detecting apparatuses are provided. An example gas detecting apparatus may comprise at least one imaging sensor; and a controller component, wherein the controller component is configured to: obtain image data comprising at least a first frame and a second frame, identify a number of matching features between the first frame and the second frame, and in an instance in which the number of matching features satisfies a predetermined threshold number of matching features, estimate a transformation between the first frame and the second frame, and perform one or more vibration correction operations.

Vibration correction methods and systems for gas detecting apparatuses

Systems, methods, and computer program products for thermal contrast determinations are provided. An example imaging system includes a first infrared (IR) imaging device that generates first IR image data of a field of view of the first IR imaging device and a computing device connected with the first IR imaging device. The computing device receives probe temperature data from a temperature probe indicative of an external environment of the imaging system and receives the first IR image data from the first IR imaging device. The computing device determines background temperature data based upon the first IR image data, determines gas temperature data based upon the probe temperature data, and determines a thermal contrast for each pixel based upon a comparison between the background temperature data and the gas temperature data. The computing device further determines a detection limit for each pixel as a function of thermal contrast.

Systems, methods, and computer program products for detection limit determinations for hyperspectral imaging

Systems, methods, and computer program products for recursive hyperspectral imaging

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Decatur, GA, United States of America

Reza Katebi