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 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 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 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.