Karlak UTi260A Professional 256 x 192 IR Thermal Imaging Camera Rechargeable Handheld Temperature Car Tracking Infrared Thermal Imaging Camera with 2.8 Inch LCD Screen, Real-time Image Transmission, 7

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The camera also has quite a wide viewing angle of 56 x 42 degrees, this is also known as field of view. It is difficult for a user to establish how many non functioning pixels are present on a thermal sensor FPA for the reason that you detail. All FPA’s will contain pixels that are either faulty or produce an output that falls outside of the acceptable specification. The image data from the ROIC is normally RAW and subsequent image processing stages create the Non Uniformity Correction and Flat Field Correction tables that both capture ‘out of specification’ pixels and try to correct other pixel outputs to achieve a good Flat Field output. The dead pixel map is created by the NUC ‘calibration’ process carried out at the factory. Any pixel that produces an unacceptable pixel output value is marked as ‘Dead’.

UNI-T UTi260A Professional 256 x 192 IR Thermal Imager

Third, the start time of over 20 seconds. And when changing between high and low gain (>150°C) you can wait another 20 seconds...

The image quality is really very good, the resolution of 256x192 gives a much better image than the Flir one gen2 (160x120) that I also have.

UTi260B Industrial Thermal Imager 256x192 Measures -15~550℃ UTi260B Industrial Thermal Imager 256x192 Measures -15~550℃

Once the Dead Pixel map has been produced the image processing stages of the camera do their best to disguise those pixels from the users view. This is relatively easy in most cases as the values of surrounding pixels may be used to create an average value to replace that of the dead pixel position in the array. Life becomes a little more challenging when a cluster of dead pixels or a dead column is detected. A cluster can cause a dead spot in the image displayed that cannot be concealed by the image processing and a dead column can be a challenge to hide from the human brain that sees pixel correlation and recreates the defective line in some cases. For these reasons a thermal FPA sensor specification normally states that the FPA shall not contain more than a certain number of pixels in a cluster and adjacent to each other. Dead Columns may also be a reason to reject an FPA. Avoiding judgement errors, reducing labor cost, and discovering poor heat dissipation and hidden trouble points. If a camera is received and it is displaying dead pixels on its display..... it has suffered pixel failures since original calibration and should be sent for a new NUC and dead pixel map creation. Dead pixels are not truly a “Fault” in terms of a camera containing them..... they are a fact of life that the image processing system is designed to cope with. Now let’s look at the camera’s temperature measurement performance. First of all, it has to be the sensitivity since that is instrumental to defining image quality. This camera has a 50 mK NETD which means it’s not bad at all. It means it can spot a temperature difference of down to 50 mK. The lower the number here the more detailed the image will look because the camera is sensitive to even the slightest differences in temperature.One place where the camera could do with some improvement is the visual camera supporting the thermal sensor which has a 640 x 480 pixel resolution. Most infrared thermal imaging cameras will have at least a 2 MP visual camera. The PC application works well but is very limited in its use and is limited to a dynamic mirroring of the camera screen. Thermal condition of different locations for comprehensive analysis, providing more information for judgement. The boot time is around 20s (mostly there is a progress bar) and the switching between the low and high gain takes also around 20-25s (there is no progress bar here). High gain is -15-150C, low gain 150-550C.