Thermal imaging for landmine detection

1998 ◽  
Author(s):  
L.J. Carter
Keyword(s):  
Thermal Imaging ◽  
Landmine Detection

Using Expert Knowledge to Identify Visual Cues for Landmine Detection

2008 ◽  
Author(s):  
James J. Staszewski ◽  
Alan D. Davison ◽  
David J. Dippel ◽  
Julia A. Tischuk
Keyword(s):  
Visual Cues ◽  
Expert Knowledge ◽  
Landmine Detection

Remote Investigation of Buildings' Heat Losses by Thermal Imaging Technique

2009 ◽  
Vol 5 (1) ◽  
pp. 31-35
Author(s):  
F.F. Sizov ◽  
◽  
V.V. Zabudsky ◽  
A.G. Golenkov ◽  
S.L. Kravchenko ◽  
...  
Keyword(s):  
Thermal Imaging ◽  
Imaging Technique ◽  
Heat Losses

Far-Infrared Fresnel Lens for Thermal Imaging

2013 ◽  
Vol 133 (7) ◽  
pp. 274-279
Author(s):  
Tomoyuki Takahata ◽  
Kiyoshi Matsumoto ◽  
Isao Shimoyama
Keyword(s):  
Thermal Imaging ◽  
Far Infrared ◽  
Fresnel Lens

Exposing Hidden Energy Transfer With Inexpensive Thermal Imaging Cameras

Science Scope ◽  
2016 ◽  
Vol 039 (07) ◽  
Author(s):  
Jeffrey Nordine ◽  
Susanne Wessnigk
Keyword(s):  
Energy Transfer ◽  
Thermal Imaging

MONITORING THE WORK ENVIRONMENT USING THERMAL IMAGING CAMERAS IN ORDER TO PREVENT THE SELF-IGNITION OF COAL

2017 ◽  
Vol 16 (6) ◽  
pp. 1389-1393 ◽  
Author(s):  
Cristian Tomescu ◽  
Maria Prodan ◽  
Niculina Vatavu ◽  
Emeric Chiuzan
Keyword(s):  
Work Environment ◽  
Thermal Imaging ◽  
The Self

Thermal Imaging Product Power-up: Metrology for Capturing Thermal Defects on Live Units Not Visible on Any Other Technique

2005 ◽  
Author(s):  
Nova T. Zamora ◽  
Kam Meng Chong ◽  
Ashish Gupta
Keyword(s):  
Thermal Imaging ◽  
Thermal Response ◽  
Recent Application ◽  
Ir Camera ◽  
Thermal Failure ◽  
Response Data ◽  
Startup Process ◽  
Customer Returns ◽  
Actual Computer ◽  
Detection Of Defects

Abstract This paper presented the recent application of die powerup in Thermal Imaging as applied to the detection of defects causing thermal failure on revenue products or units not being captured using other available techniques. Simulating the condition on an actual computer setup, the infrared (IR) camera should capture images simultaneously as the entire bootup process is being executed by the processor, thus revealing a series of images and thermal information on each and every step of the startup process. This metrology gives the failure analyst a better approach to acquire a set of information that substantiate in the conduct of rootcause analysis of thermal-related failure in revenue units, especially on customer returns. Defective units were intentionally engineered in order to collect the thermal response data and eventually come up with a plot of all known thermal-related defects.

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