Scanning Thermal Imaging Device Based on a Domestic Photodetector Device

2018 ◽  
Vol 63 (3) ◽  
pp. 292-295
Author(s):  
I. I. Kremis ◽  
V. S. Kalinin ◽  
V. N. Fedorinin ◽  
Yu. M. Korsakov ◽  
K. P. Shatunov
Keyword(s):  
Thermal Imaging ◽  
Imaging Device ◽  
Photodetector Device

scholarly journals Automated processing of thermal imaging to detect COVID-19

2020 ◽  
Author(s):  
Rafael Y. Brzezinski ◽  
Neta Rabin ◽  
Nir Lewis ◽  
Racheli Peled ◽  
Ariel Kerpel ◽  
...  
Keyword(s):  
Image Processing ◽  
Low Income ◽  
Thermal Imaging ◽  
Point Of Care ◽  
Area Under The Curve ◽  
Screening Tools ◽  
Imaging Device ◽  
Thermal Images ◽  
Image Processing Algorithms ◽  
Processing Algorithms

ABSTRACTRapid and sensitive screening tools for SARS-CoV-2 infection are essential to limit the spread of COVID-19 and to properly allocate national resources. Here, we developed a new point-of-care, non-contact thermal imaging tool to detect COVID-19, based on image-processing algorithms and machine learning analysis. We captured thermal images of the back of individuals with and without COVID-19 using a portable thermal camera that connects directly to smartphones. Our novel image processing algorithms automatically extracted multiple texture and shape features of the thermal images and achieved an area under the curve (AUC) of 0.85 in detecting COVID-19 with up to 92% sensitivity. Thermal imaging scores were inversely correlated with clinical variables associated with COVID-19 disease progression. We show, for the first time, that a hand-held thermal imaging device can be used to detect COVID-19. Non-invasive thermal imaging could be used to screen for COVID-19 in out-of-hospital settings, especially in low-income regions with limited imaging resources.

Emissivity Calibration and Research of Infrared Image Processing in the Cutting Temperature Test

2007 ◽  
Vol 10-12 ◽  
pp. 928-933
Author(s):  
Yi Wen Wang ◽  
Huan Rui Hao ◽  
Xian Li Liu ◽  
Cai Xu Yue
Keyword(s):  
Thermal Imaging ◽  
Imaging System ◽  
Cutting Temperature ◽  
Infrared Image ◽  
Edge Extraction ◽  
Imaging Device ◽  
Infrared Image Processing ◽  
System Temperature ◽  
Thermal Imaging System ◽  
Temperature Test

It is by the emissivity of the goal objects and the noise problem of the high temperature images that people are puzzled during the course of the cutting temperature tested by the application of thermal imaging device. By using thermocouples, and getting the comparison of thermocouples and the thermal imaging system temperature, we calibrate object emissivity, handle the image noise by improved median method, carry on the edge extraction of image, obtain the temperature of measured objects, and finally confirm the accuracy of the data got by the thermal imaging device with contact measurement.

A medical thermal imaging device for the prevention of diabetic foot ulceration

2017 ◽  
Vol 38 (3) ◽  
pp. 420-430 ◽  
Author(s):  
G Machin ◽  
A Whittam ◽  
S Ainarkar ◽  
J Allen ◽  
J Bevans ◽  
...  
Keyword(s):  
Diabetic Foot ◽  
Thermal Imaging ◽  
Imaging Device ◽  
Foot Ulceration

scholarly journals Algorithm for Numerical Calculations of Robotic Group Movement During Transport Mission

2021 ◽  
pp. 112-115
Author(s):  
R.V. Meshcheryakov ◽  
A.A. Salomatin ◽  
D.V. Senchuk
Keyword(s):  
Thermal Imaging ◽  
Dynamic Change ◽  
Robotic Group ◽  
Load Range ◽  
Imaging Device ◽  
Original Algorithm ◽  
Group Movement ◽  
Charging Time ◽  
System Functioning ◽  
Memory Complexity

The paper considers an algorithm for searching for the time of residential roof inspection using an unmanned aerial system, which incorporates unmanned aerial vehicles (UAV) of a multicopter type with a thermal imaging device as a transporting load. Algorithms and their implementation for the problem are considered. The problem of multicopter group movement with restrictions on load, range, roof height and other characteristics is solved. An original algorithm for the system functioning is proposed and justified. The advantage of the algorithm is a quick solution search, visibility and the ability to be verified by the user. There are some disadvantages, such as the resulting solution being suboptimal, the memory complexity growing exponentially, and the UAV charging time being out of consideration (in the absence of a replacement battery). The algorithm is implemented in the MatLab environment, and the example of calculations is presented, the computational experiment is conducted. In further research, it is planned to introduce a larger number of restrictions and conditions and also to test the dynamic change in logistics routes for UAV failures.

QWIP-LED PIXELLESS THERMAL IMAGING DEVICE

2003 ◽  
pp. 299-313 ◽  
Author(s):  
H. C. Liu ◽  
E. Dupont ◽  
M. Byloos ◽  
M. Buchanan ◽  
C.-Y. Song ◽  
...  
Keyword(s):  
Thermal Imaging ◽  
Imaging Device
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