Public:Applications: Difference between revisions

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'''Capability to make fire corrections at night and hit small low-flying aerial vehicles'''

At dusk, in fog, smoke and dust, and when shooting at aerial targets, it is advantageous for the sniper and machine gunner, as well as any other shooter, to use tracer bullets, which, however, demask the shooter. Without the use of tracer bullets it is impossible to make corrections. To hit small low-flying aerial vehicles at an altitude of 60 ft or more in darkness, smoke, dust, fog, bad weather conditions is a very difficult task, especially if it is a small drone less than 8 in. To help comes mixed vision in HDR / SWIR / LWIR range, which help to track the target more clearly and see the trajectory of hot bullets in the long-wave infrared range.

At dusk and at night (also dirung the day), in fog, smoke and dust, and when shooting at aerial targets, it is advantageous for the sniper and machine gunner, as well as any other shooter, to use tracer bullets, which, however, demask the shooter. Without the use of tracer bullets it is impossible to make corrections. To hit small low-flying aerial vehicles at an altitude of 60 ft or more in darkness, smoke, dust, fog, bad weather conditions is a very difficult task, especially if it is a small drone less than 8 in. To help comes mixed vision in HDR / SWIR / LWIR range, which help to track the target more clearly and see the trajectory of hot bullets in the long-wave infrared range.

[[File:Partial_complement.svg|frameless|18x18px]]→''<small>partial complement:</small>''

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CPU load balancing is also necessary in this case in order to process streaming video at a sampling rate of at least 240 fps. This will allow you to see the trace of fast-flying (660-900 meters per second) bullets and projectiles to be able to correct aiming.

The video capture model is as follows. The image at 240 fps arrives at the LWIR sensor, bright pixels are processed by the preprocessor, then encoded at 30 or 60 fps, preserving motion details. Images on other HD, HDR, SWIR matrices are ~~encoded~~ initially at 30 or 60 fps. The preprocessor performs tasks of object extraction by means of Computer Vision at a rate of 6 fps. Then postprocessor performs layer-by-layer addition of video streams and real-time ~~encoding~~ at 30 to 60 fps for playback in the interface window: source signal + fire trace image + Computer Vision markers.</pre>

The video capture model is as follows. The image at 240 fps arrives at the LWIR sensor, bright pixels are processed by the preprocessor, then encoded (a temporal compression) at 30 or 60 fps, preserving motion details. Images on other HD, HDR, SWIR matrices are captured initially at 30 or 60 fps. The preprocessor performs tasks of object extraction (a sampling) by means of Computer Vision at a rate of 6 fps and then object detection. Then postprocessor performs layer-by-layer addition of video streams and real-time (30-80 ms delay) processing at 30 to 60 fps for playback in the interface window: source signal + fire trace image + Computer Vision markers.</pre>

''See more'' <u>About video and audio encoding and compression</u><ref>Adobe, [https://helpx.adobe.com/media-encoder/using/video-audio-encoding-compression.html "About video and audio encoding and compression"]</ref>

@@ Line 1,205: / Line 1,205: @@
 '''Capability to make fire corrections at night and hit small low-flying aerial vehicles'''
-At dusk, in fog, smoke and dust, and when shooting at aerial targets, it is advantageous for the sniper and machine gunner, as well as any other shooter, to use tracer bullets, which, however, demask the shooter. Without the use of tracer bullets it is impossible to make corrections. To hit small low-flying aerial vehicles at an altitude of 60 ft or more in darkness, smoke, dust, fog, bad weather conditions is a very difficult task, especially if it is a small drone less than 8 in. To help comes mixed vision in HDR / SWIR / LWIR range, which help to track the target more clearly and see the trajectory of hot bullets in the long-wave infrared range.
+At dusk and at night (also dirung the day), in fog, smoke and dust, and when shooting at aerial targets, it is advantageous for the sniper and machine gunner, as well as any other shooter, to use tracer bullets, which, however, demask the shooter. Without the use of tracer bullets it is impossible to make corrections. To hit small low-flying aerial vehicles at an altitude of 60 ft or more in darkness, smoke, dust, fog, bad weather conditions is a very difficult task, especially if it is a small drone less than 8 in. To help comes mixed vision in HDR / SWIR / LWIR range, which help to track the target more clearly and see the trajectory of hot bullets in the long-wave infrared range.
 [[File:Partial_complement.svg|frameless|18x18px]]→''<small>partial complement:</small>''
@@ Line 1,212: / Line 1,212: @@
 CPU load balancing is also necessary in this case in order to process streaming video at a sampling rate of at least 240 fps. This will allow you to see the trace of fast-flying (660-900 meters per second) bullets and projectiles to be able to correct aiming.
-The video capture model is as follows. The image at 240 fps arrives at the LWIR sensor, bright pixels are processed by the preprocessor, then encoded at 30 or 60 fps, preserving motion details. Images on other HD, HDR, SWIR matrices are encoded initially at 30 or 60 fps. The preprocessor performs tasks of object extraction by means of Computer Vision at a rate of 6 fps. Then postprocessor performs layer-by-layer addition of video streams and real-time encoding at 30 to 60 fps for playback in the interface window: source signal + fire trace image + Computer Vision markers.</pre>
+The video capture model is as follows. The image at 240 fps arrives at the LWIR sensor, bright pixels are processed by the preprocessor, then encoded (a temporal compression) at 30 or 60 fps, preserving motion details. Images on other HD, HDR, SWIR matrices are captured initially at 30 or 60 fps. The preprocessor performs tasks of object extraction (a sampling) by means of Computer Vision at a rate of 6 fps and then object detection. Then postprocessor performs layer-by-layer addition of video streams and real-time (30-80 ms delay) processing at 30 to 60 fps for playback in the interface window: source signal + fire trace image + Computer Vision markers.</pre>
 ''See more'' <u>About video and audio encoding and compression</u><ref>Adobe, [https://helpx.adobe.com/media-encoder/using/video-audio-encoding-compression.html "About video and audio encoding and compression"]</ref>