Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Systems, methods, and computer program products for multi-model emission determinations are provided. An example imaging system includes an infrared (IR) imaging device configured to generate second IR image data of a first field of view of the IR imaging device at a second time and a computing device operably connected with the IR imaging device. The computing device receives the second IR image data of the first field of view from the IR imaging device and accesses a first detection model associated with the first field of view of the IR imaging device. The first detection model is generated based upon first IR image data of the first field of view of the IR imaging device generated at a first time. The computing device further generates first spectral absorption data based upon the second IR image data and the first detection model for detecting a fugitive emission.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Thermal imaging systems are provided. An example thermal imaging system includes an infrared (IR) imager that acquires IR image data of a field of view of the IR imager. The thermal imaging system further includes video analysis circuitry operably coupled to the IR imager. The video analysis circuitry receives first temperature data of a first field reference within the field of view of the IR imager, receives second temperature data of a second field reference within the field of view of the IR imager, and receives IR image data from the IR imager. The video analysis circuitry calibrates the IR imager based upon the first temperature data, the second temperature data, and the IR image data. The thermal imaging system may further include a temperature control chamber enclosing the IR imager and configured to thermally isolate the IR imager and temperature sensors thermally coupled to the IR imager.

Abstract: In one embodiment, 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 an optical focal plane array (FPA) unit. 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. Said optical system and said processing unit can be contained together in a data acquisition and processing module configured to be worn or carried by a person.