Systems, methods, and computer program products for multi-model emission determinations
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.
1 . An imaging system comprising:
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, wherein the computing device is configured to:
receive the second IR image data of the first field of view from the IR imaging device;
access a first detection model associated with the first field of view of the IR imaging device, wherein the first detection model is trained for the first field of view based at least in part upon one or more first IR images of the first field of view of the IR imaging device, wherein the first detection model is trained at a first time prior to the second time;
generate first spectral absorption data based upon the second IR image data and the first detection model;
detect a first fugitive emission within the first field of view based upon the first spectral absorption data;
cause movement of the IR imaging device to a second field of view to receive fourth IR image data of the second field of view from the IR imaging device;
generate second spectral absorption data based upon the fourth IR image data and a second detection model, wherein the second detection model is independent from the first detection model, wherein the second detection model is trained for the second field of view; and
detect a second fugitive emission within the second field of view based upon the second spectral absorption data.
2 . The imaging system according to claim 1 , wherein the computing device is further configured to cause generation of the fourth IR image data of the second field of view of the IR imaging device at a fourth time.
3 . The imaging system according to claim 2 , wherein the computing device is further configured to modify the first detection model based upon the second IR image data of the first field of view generated at the second time during movement of the IR imaging device from the first field of view to the second field of view.
4 . The imaging system according to claim 2 , wherein the computing device is configured to cause movement of the IR imaging device according to a schedule for moving the IR imaging device.
5 . The imaging system according to claim 2 , wherein the computing device is further configured to generate the second spectral absorption data by:
accessing the second detection model associated with the second field of view of the IR imaging device, wherein the second detection model is trained for the second field of view based at least in part upon one or more third IR images of the second field of view of the IR imaging device at a third time prior to the fourth time, wherein the second detection model is different from the first detection model.
6 . A computer-implemented method comprising:
receiving second infrared (IR) image data from an IR imaging device of a first field of view of the IR imaging device generated at a second time;
accessing a first detection model associated with the first field of view of the IR imaging device, wherein the first detection model is trained for the first field of view based at least in part upon one or more first IR images of the first field of view of the IR imaging device, wherein the first detection model is trained at a first time prior to the second time;
generating first spectral absorption data based upon the second IR image data and the first detection model;
detecting a first fugitive emission within the first field of view based upon the first spectral absorption data;
causing movement of the IR imaging device to a second field of view to receive fourth IR image data of the second field of view from the IR imaging device;
generating second spectral absorption data based upon the fourth IR image data and a second detection model, wherein the second detection model is independent from the first detection model, wherein the second detection model is trained for the second field of view; and
detecting a second fugitive emission within the second field of view based upon the second spectral absorption data.
7 . The computer-implemented method according to claim 6 , further comprising causing movement of the IR imaging device to the second field of view such that the IR imaging device is configured to generate the fourth IR image data of the second field of view of the IR imaging device at a fourth time.
8 . The computer-implemented method according to claim 7 , further comprising modifying the first detection model based upon the second IR image data of the first field of view generated at the second time during movement of the IR imaging device from the first field of view to the second field of view.
9 . The computer-implemented method according to claim 7 , wherein generating the second spectral absorption data comprises:
accessing the second detection model associated with the second field of view of the IR imaging device, wherein the second detection model is trained for the second field of view based at least in part upon one or more third IR images of the second field of view of the IR imaging device, wherein the first detection model is trained at a third time prior to the fourth time.
10 . A computer program product comprising at least one non-transitory computer-readable storage medium having computer program code thereon that, in execution with at least one processor, configures the computer program product for:
receiving second infrared (IR) image data from an IR imaging device of a first field of view of the IR imaging device generated at a second time;
accessing a first detection model associated with the first field of view of the IR imaging device, wherein the first detection model is trained for the first field of view based at least in part upon one or more first IR images of the first field of view of the IR imaging device, wherein the first detection model is trained at a first time prior to the second time;
generating first spectral absorption data based upon the second IR image data and the first detection model; and
detecting a first fugitive emission within the first field of view based upon the first spectral absorption data;
causing movement of the IR imaging device to a second field of view to receive fourth IR image data of the second field of view from the IR imaging device;
generating second spectral absorption data based upon the fourth IR image data and a second detection model, wherein the second detection model is independent from the first detection model, wherein the second detection model is trained for the second field of view; and
detecting a second fugitive emission within the second field of view based upon the second spectral absorption data.