Nonuniformity correction and thermal drift compensation of thermal infrared camera

2004 ◽  
Author(s):  
Olivier Riou ◽  
Stephane Berrebi ◽  
Pierre Bremond
Keyword(s):  
Infrared Camera ◽  
Thermal Infrared ◽  
Thermal Drift ◽  
Nonuniformity Correction ◽  
Drift Compensation

scholarly journals Implantable Blood Pressure Sensors with Analogic Thermal Drift Compensation

2021 ◽  
Vol 6 (1) ◽  
pp. 34
Author(s):  
Serigne Modou Die Mbacke ◽  
Mohammed El Gibari ◽  
Benjamin Lauzier ◽  
Chantal Gautier ◽  
Hongwu Li
Keyword(s):  
Output Voltage ◽  
Pressure Sensors ◽  
Equivalent Model ◽  
Battery Life ◽  
Implantable Sensors ◽  
Thermal Drift ◽  
Research Activity ◽  
Drift Compensation ◽  
The Cost ◽  
Conditioning Circuit

Implantable pressure sensors represent an important part of the research activity in laboratories. Unfortunately, their use is limited by cost, autonomy and temperature-related drifts. The cost of use depends on several parameters, particularly their low battery life and the need for miniaturization to be able to implant the animals and monitor them over a time that is long enough to be physiologically relevant. This paper studied the possibility of reducing the thermal drift of implantable sensors. To quantify and compensate for the thermal drift, we developed the equivalent model of the piezoresistive probe by using the Cadence software. Our model takes into account the temperature (34–39 °C) as well as the pressure (0–300 mmHg). We were thus able to identify the source of the drift and thanks to our model, we were able to compensate for it thanks to the compensation circuits added to the conditioning circuits of the sensor. The maximum relative drift of the sensor is (0.1 mV/°C)/3.6 mV (2.7%), a drift of the conditioning circuit is (0.98 mV/°C)/916 mV (0.1%) and the whole is (13.4 mV/°C)/420 mV (32%). The compensated sensor shows a relative maximum drift of (0.371 mV/°C)/405 mV (0.09%). The output voltage remains stable over the measurement temperature range.

scholarly journals The Feasibility of Identifying Defects Illustrated on Building Facades by Applying Thermal Infrared Images with Shadow

Proceedings ◽  
2019 ◽  
Vol 27 (1) ◽  
pp. 3
Author(s):  
Tsai ◽  
Huang ◽  
Tai
Keyword(s):  
Surface Temperature ◽  
Infrared Thermography ◽  
Infrared Camera ◽  
Thermal Infrared ◽  
Infrared Images ◽  
Building Facades ◽  
Thermal Infrared Images ◽  
Non Destructive

Infrared thermography (IRT) has been widely employed to identify the defects illustrated in building facades. However, the IRT covered with a shadow is hard to be applied to determine the defects shown in the IRT. The study proposed an approach based on the multiplicated model to describe quantitively the shadow effects, and the IRT can be segmented into few classes according to the surface temperature information recorded on the IRT by employing a thermal infrared camera. The segmented results were compared with the non-destructive method (acoustic tracing) to verify the correctness and robustness of the approach. From the processed results, the proposed approach did correctly identify the defects illustrated in building facades through the IRTs were covered with shadow.

Towards Automated Nanoassembly With the Atomic Force Microscope: A Versatile Drift Compensation Procedure

2009 ◽  
Vol 131 (6) ◽  
Author(s):  
Florian Krohs ◽  
Cagdas Onal ◽  
Metin Sitti ◽  
Sergej Fatikow
Keyword(s):  
Atomic Force Microscope ◽  
Estimation Method ◽  
Thermal Drift ◽  
Promising Technique ◽  
Drift Estimation ◽  
Atomic Force ◽  
Drift Compensation ◽  
Monte Carlo Localization ◽  
Afm Probe

While the atomic force microscope (AFM) was mainly developed to image the topography of a sample, it has been discovered as a powerful tool also for nanomanipulation applications within the last decade. A variety of different manipulation types exists, ranging from dip-pen and mechanical lithography to assembly of nano-objects such as carbon nanotubes (CNTs), deoxyribonucleic acid (DNA) strains, or nanospheres. The latter, the assembly of nano-objects, is a very promising technique for prototyping nanoelectronical devices that are composed of DNA-based nanowires, CNTs, etc. But, pushing nano-objects in the order of a few nanometers nowadays remains a very challenging, labor-intensive task that requires frequent human intervention. To increase throughput of AFM-based nanomanipulation, automation can be considered as a long-term goal. However, automation is impeded by spatial uncertainties existing in every AFM system. This article focuses on thermal drift, which is a crucial error source for automating AFM-based nanoassembly, since it implies a varying, spatial displacement between AFM probe and sample. A novel, versatile drift estimation method based on Monte Carlo localization is presented and experimental results obtained on different AFM systems illustrate that the developed algorithm is able to estimate thermal drift inside an AFM reliably even with highly unstructured samples and inside inhomogeneous environments.

Detection of Small Wildfire by Thermal Infrared Camera With the Uncooled Microbolometer Array for 50-kg Class Satellite

2017 ◽  
Vol 55 (8) ◽  
pp. 4314-4324 ◽  
Author(s):  
Tetsuya Fukuhara ◽  
Toru Kouyama ◽  
Soushi Kato ◽  
Ryosuke Nakamura ◽  
Yukihiro Takahashi ◽  
...  
Keyword(s):  
Infrared Camera ◽  
Thermal Infrared ◽  
Uncooled Microbolometer

scholarly journals SPATIOTEMPORAL EVALUATION OF NOCTURNAL COLD AIR DRAINAGE OVER A SIMPLE SLOPE USING THERMAL INFRARED IMAGERY

2016 ◽  
Vol XLI-B8 ◽  
pp. 265-269
Author(s):  
V. Ikani ◽  
K. Chokmani ◽  
L. Fathollahi ◽  
H. Granberg ◽  
R. Fournier
Keyword(s):  
Temperature Gradient ◽  
Infrared Camera ◽  
Thermal Infrared ◽  
Infrared Analysis ◽  
Agricultural Field ◽  
Drainage Flow ◽  
Cold Air ◽  
Drainage Flows ◽  
Infrared Measurement ◽  
Thermal Infrared Imagery

Measurements of climatic processes such as cold air drainage flows are problematic over mountainous areas. Observation of cold air drainage is not available in the existing observation network and it requires a special methodology. The main objective of this study was to characterize the cold air drainage over regions with a slope. A high resolution infrared camera, a meteorological station and Digital Elevation Model (DEM) were used. The specific objective was to derive nocturnal cold air drainage velocity over the slope. To address these objectives, a number of infrared measurement campaigns were conducted during calm and clear sky conditions over an agricultural zone (blackcurrant farm) in Canada. Using thermal infrared images, the nocturnal surface temperature gradient were computed in hourly basis. The largest gradient magnitudes were found between 17h -20h. The cooling rates at basin area were two times higher in comparison to the magnitudes observed within slope area. The image analysis illustrated this considerable temperature gradient of the basin may be partly due to transport of cold air drainage into the basin from the slope. The results show that thermal imagery can be used to characterize and understand the microclimate related to the occurrence of radiation frost in the agricultural field. This study provided the opportunity to track the cold air drainage flow and pooling of cold air in low lying areas. The infrared analysis demonstrated that nocturnal drainage flow displayed continuous variation in terms of space and time in response to microscale slope heterogeneities. In addition, the analysis highlighted the periodic aspect for cold air drainage flow.

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