The SC NIR complements FLIR’s range of products for R&D and automation applications to include: scientific research, imaging spectroscopy, astronomy. For scientific studies, R&D and critical processes, Flir Systems Inc. has announced its model SCNIR (near-infrared) camera. The fully. FLIR is the world leader in the design, manufacture, and marketing of thermal imaging infrared cameras.
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The sensitivity bandwidth is comprised between 0.
The SWIR imaging is used in perimeter surveillance for seeing through fog, haze, dust and smoke. This technology provides also a strong visibility at dusk and dawn hours.
Machine vision camera / NIR / for HVAC installations / InGaAs – FLIR SC – FLIR SYSTEMS
Another interesting point is that the phenomenon clir nightglow, which is a very weak emission of light in the upper atmosphere, is more radiant in SWIR spectrum. As shows in Figure 3, the maximum fljr of nightglow in SWIR spectrum is similar at the radiant measured at 0. Concerning video analytics, SWIR imaging allows detection, recognition and identification of objects and persons.
Differences in appearance between the visible and SWIR images are due to reflective material properties. For example, hairs are more reflective in SWIR spectrum. In conclusion, SWIR imaging allows using algorithms designed for analyzing visible images .
FLIR Systems SC2500 Infrared Cameras
In this work, the fog was simulated by machines. The results are presented below.
This test was done at indoor in a room of 15m2. Visible and SWIR streams were recorded from both cameras: A high-pass filter was added to the optical system of the FLIR camera for selecting the wavelengths comprised between 0.
The duration of test is nine minutes. For this test, we used a fog machine which can produce 40m3 of artificial fog per minute.
SCNIR Camera | FLIR Systems | Oct |
We observe in Figure 5 that the person disappears in the fog in the visible image while the same person is still visible in the SWIR image 2. This test was done at outdoor in a garden composed of trees, grass and one path. A pass-band filter was added to the optical system of the FLIR camera for selecting the spectrum centered at wavelength around 1.
The duration of test is fliir minutes.
For this test, we used a fog machine which can produce m3 of artificial fog per minute. Moreover, if the artificial fog is too dense 3the two persons in the background are only detectable in IR sc25000 3. These results are in agreement with previous works . As presented in the theoretical part, an array sensor, composed of InGaAs, could produce images of a scene with poor visibility such as a scene with haze, fog and smoke.
The nightglow phenomenon allows also producing an image by night. In video analytics, the SWIR imaging has advantages for extracting and locating features by using algorithms designed for visible spectrum. The experimentations, realized fli October,show that persons are still detectable through artificial fog at indoor and outdoor conditions.
A future experimentation would consist in generating images in SWIR spectrum of scenes with smoke in real conditions. This technology could be used by the firefighters for seeing through the smoke during an intervention.
September th, Toulouse, Image Analysis and Processing. Volumepp Rameshwar M September 27, at 9: Newer Post Older Post Home.