Subject: Trenz-Elektronik TE0715 FPGA Board on TE0703 carrier
Camera: 324x256 25um FLIR
Lens: f/1.1 19mm
Image manipulation: simple linear fit of min/max to 8bit (fuchsjagd-style)
Subject: Some random shots.
Camera: TE-Q1
Lens: 13mm
Resolution: 384 x 288
Wicked shots above and welcome.
Looks good and certainly tempting to take the plunge on one of the budget 288x384 res. - a minor step in res but the noise seems somewhat better but hopefully, we will see some evolvement and price decline on the VGA-res microbolometers in the coming years and numerous wafer approaches
But still pretty blown away of how much I actually enjoy my Seek pro-purchase Fast frame iOS (290USD) and this fascinating world of thermal-information from an el-cheapo-noob-standpoint
Subject: My hot face on an insanely hot day after a trip to the gym and a cold bath at home (we have extreme heat here in Scandinavia, we almost daily set new records, certainly not normal summer-weather here, but that heat-scenario seems to be the case on a good part of the globe for the time being)
Camera: Seek Pro FF [IOS]
Lens: Seek native
Resolution: 320x240
Image manipulation: non' all is basic Seek App recording on a iPAD2018, no enhancement..
Mediadump/values as fx native framerate max/min etc - in yt-info-details)
Subject: Motherboard in a 13.3 Xiaomi Ultrabook.
Camera: Seek Pro FF [IOS]
Lens: Seek native
Resolution: 320x240
Image manipulation: non' all is basic Seek App recording on a iPAD2018, no enhancement..
In this heat, where throttling easily takes place in these small thin ultrabooks, I decided to finally thermal-repaste the CPU/iGPU and the dGPU dies with some cheap paste (all sub6USD delivered) I had purchased from Aliexpress a few years back to be used with 9mm and 5.6mm laser-diode-sockets so I could easily interchange the diodes and not have to copper-press fit them.(had 3 kinds of paste, the ones in the picture, used the TG1 I likely should have taken the Shin Etsu
But it did certainly make quite a huge difference in temp-values, and found it pretty wicked that you could actually see what part of the CPU-die there where directed and in play' thrue the thermal-camera and if it was the up part or the down part or it was all over the die or first up and then centered down. (video is while a Geekbench4 benchmark-run is in motion)
and just a thermal view of the heat pipes effectiveness and different palettes. (iOS own screen-recording feature)
Watching the lunar eclipse with my brother.
It looks best when you don't scale it up.
Here's a comparison burner image from my "tweaked" Flir E40.
here is another comparison of TE-Q1 and Xtherm
If you have Netflix, a beautiful dynamic high-res wide format full motion scene of leopard night hunting, in Planet Earth II, Episode 6, starts at 13:10
Subject: OrangePi
Camera: Seek Compact Pro
Software: SeekThermal Android
Subject: gas stove
Camera: Seek Compact Pro
Software: Thermovision 1.8.0.0
External Gain/OffsetMap/Reference
Subject: micro quadcopter pcb
Camera: Xtherm
Sent from my SM-G930F using Tapatalk
Subject: brother, and my daughter
Camera: Xtherm
Sent from my SM-G930F using Tapatalk
Subject: Stables
Camera: ISC0601 (324x256 25um FLIR; same one as in Flir Exx)
Lens: f/1.1 19mm
Image manipulation: Stitching in Microsoft ICE 2.0, color-mapping (manual histogram equalization) in Gimp 2.10.4
Some stitching errors - this was handheld - but the white blobs in the background are legitimate horses
what file formats do you use for stacking? Do you get raw 16bit tifs and adjust the histogram afterwards?
Sadly my wide fov isn't great for panoramas.
***
Image of a cheap phone power bank. It shows how only one and a half of presumable three cells are used and light up in LWIR vision.
the hottest pixel indicator shows the used UBS ower out is hottest, but that could be a reflection of my own body heat as well. Iron palette.
ThermalCamera+ on CAT S60 with superresolution enabled.
PRoblem with ThermalExpert is that the android app is really shitty and it distorts images and decrease quality dramaticaly.
You would get a lot nicer images by using my or JoeC windows app.
PRoblem with ThermalExpert is that the android app is really shitty and it distorts images and decrease quality dramaticaly.
You would get a lot nicer images by using my or JoeC windows app.
Agree, the app is disaster. And with an update they made the app even worse. Though they fixed dead pixel calibration, everything else they ruined.
Sent from my SM-G930F using Tapatalk
what file formats do you use for stacking? Do you get raw 16bit tifs and adjust the histogram afterwards?
I create 16-bit grayscale PNGs (this is all custom software), stitch them in Microsoft ICE (with patch, as described here:
https://www.eevblog.com/forum/thermal-imaging/image-stiching-with-microsoft-ice-2/ ), and then create a PNG file - still at 16-bit. Then I post-process them in GIMP 2.10, first using "levels" to map the interesting content to a manageable range, then using curves to ~equalize the histogram (i.e. use larger amounts of output range for more interesting regions, and compressing down the uninteresting regions). I'm still experimenting with tone- and gradient mapping.
I have connected Xtherm T3S to a PC with JoeC software and it recognized camera in "Device : webcamA or B". It only shows the image in grey-scale. I think image is still better then TE-Q1...
Subject: Zeiss DSM950 (Scanning Electron Microscope)
Camera: ISC0601 (324x256 25um FLIR; same one as in Flir Exx)
Lens: f/1.1 19mm
Image manipulation:a.) Stitching in Microsoft ICE 2.0, color-mapping (manual histogram equalization) in Gimp 2.10.4 b.) Color-mapped, upsampled
You should look into the Palette generator for coloring. It's the best tool out there.
***
Motor on a bike after one minute of driving.
Steam Train, Aviemore Scotland, Flir E30
Subject: Smoked fish
Camera: Thermal Expert TE-V1 with stock 19mm F/1.0 lens from Umicore.
Processing: none
This is a raw image with only minimal cropping of the very cold sky reflections on the bare metal using a FLIR-like pallette - the grey one is at fully dynamic range of the image.
As a side note: the depth of field is quite low with this lens - so only the center portion of the image is really in focus. The soft region to the front and back are due to out of focus blur. This combination is really sharp and has a very flat focus plane. My Q1 had some shift of the focal plane from left to right, this one not.
Subject: car(Mini Cooper)
Camera: CAT S60
Software: ThermalCamera+ App; superresolution set to medium, nearest neighbor scaling, image orientation 180°
Modifications: 3D printed DIY auxiliary lens with 3 elements in 2 groups.
Palette: Black how greyscale
I will try to shoot some panorama in the next few days, I am also working on the next iteration of the design with focus turn wheel and better clip on mechanism.
Bonus image: brother petting cows(iron palette).