Just a quick test at night showing a little of the capabilities of the CGO-ET low light Thermal imaging camera.
This was done on the Yuneec Typhoon H480.
It was in pitch darkness. No stars. The additional light source is an iPhoneX that I'm holding and the screen if the ST16.
I am playing with the colour palette settings and also the temperature range settings to get the variations in the image on the right.
This video came recorded straight out of the CGO-ET camera.
I then imported it into the iPad using the USB3 Adapter and a micro SD card reader with the apple power charging cable attached. It imports straight into the Photos app.
I then used LumaFusion to edit the video.
The recordings on the CGO-ET are a dual channel MP4. One channel ID the 1080P low light image (the one in the left above) the second is the 160x120 thermal image (as shown to the right above)
By placing the video into the time line and then duplicating it to the secondary track the programme was able to jump between the two tracks. No LumaFusion does not currently say that they support this type of file but are working on it since I have given them a sample and they how that it will be added in a future update.
Once I had the two tracks overlaying each other I then simply offset the top track .8 to the right and if the images where around the wrong way I had to invert their location on the timeline.
A bug does occur in the fact that if you exit the programme then reenter it, it can sometimes lose the differences in the channels. Meaning it can revert to both being the 1080p or both the thermal. In this instance I made sure the primary channel was correct as the 1080p image and then duplicated the secondary track again to create a third track that had the same offset. By the third time it was usually the thermal channel. I then deleted the second channel and dropped the third track down to two.
It all sounds a bit technical. But once you have done it a couple of times it was quite quick.
Overall I am very pleased with the outcome of the test.
The best part was from 0:36-0:45 where I modified the temperature range down to a value where it disabled the trees and grass as to cold and only kept me visible. (I was around the 40m mark away)
This is a view which would be good for SAR (Search and Rescue)
Thanks for watching please subscribe for more videos.
Haydn
This was done on the Yuneec Typhoon H480.
It was in pitch darkness. No stars. The additional light source is an iPhoneX that I'm holding and the screen if the ST16.
I am playing with the colour palette settings and also the temperature range settings to get the variations in the image on the right.
This video came recorded straight out of the CGO-ET camera.
I then imported it into the iPad using the USB3 Adapter and a micro SD card reader with the apple power charging cable attached. It imports straight into the Photos app.
I then used LumaFusion to edit the video.
The recordings on the CGO-ET are a dual channel MP4. One channel ID the 1080P low light image (the one in the left above) the second is the 160x120 thermal image (as shown to the right above)
By placing the video into the time line and then duplicating it to the secondary track the programme was able to jump between the two tracks. No LumaFusion does not currently say that they support this type of file but are working on it since I have given them a sample and they how that it will be added in a future update.
Once I had the two tracks overlaying each other I then simply offset the top track .8 to the right and if the images where around the wrong way I had to invert their location on the timeline.
A bug does occur in the fact that if you exit the programme then reenter it, it can sometimes lose the differences in the channels. Meaning it can revert to both being the 1080p or both the thermal. In this instance I made sure the primary channel was correct as the 1080p image and then duplicated the secondary track again to create a third track that had the same offset. By the third time it was usually the thermal channel. I then deleted the second channel and dropped the third track down to two.
It all sounds a bit technical. But once you have done it a couple of times it was quite quick.
Overall I am very pleased with the outcome of the test.
The best part was from 0:36-0:45 where I modified the temperature range down to a value where it disabled the trees and grass as to cold and only kept me visible. (I was around the 40m mark away)
This is a view which would be good for SAR (Search and Rescue)
Thanks for watching please subscribe for more videos.
Haydn
