Classification of metallic and non-metallic fractions of e-waste using thermal imaging-based technique

2018 ◽  
Vol 118 ◽  
pp. 32-39 ◽  
Author(s):  
Sathish Paulraj Gundupalli ◽  
Subrata Hait ◽  
Atul Thakur
Keyword(s):  
Thermal Imaging ◽  
Metallic Fractions

scholarly journals Clinical Trial on the Characteristics of Zheng Classification of Pulmonary Diseases Based on Infrared Thermal Imaging Technology

2013 ◽  
Vol 2013 ◽  
pp. 1-6
Author(s):  
Jin-xia Ni ◽  
Si-hua Gao ◽  
Yu-hang Li ◽  
Shi-lei Ma ◽  
Tian Tian ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Pulmonary Disease ◽  
Thermal Imaging ◽  
Relative Temperature ◽  
Infrared Thermal Imaging ◽  
Imaging Technology ◽  
Thermal Images ◽  
Diagnosis Rate ◽  
Infrared Thermal Images

Zheng classification study based on infrared thermal imaging technology has not been reported before. To detect the relative temperature of viscera and bowels of different syndromes patients with pulmonary disease and to summarize the characteristics of different Zheng classifications, the infrared thermal imaging technology was used in the clinical trial. The results showed that the infrared thermal images characteristics of different Zheng classifications of pulmonary disease were distinctly different. The influence on viscera and bowels was deeper in phlegm-heat obstructing lung syndrome group than in cold-phlegm obstructing lung syndrome group. It is helpful to diagnose Zheng classification and to improve the diagnosis rate by analyzing the infrared thermal images of patients. The application of infrared thermal imaging technology provided objective measures for medical diagnosis and treatment in the field of Zheng studies and provided a new methodology for Zheng classification.

Performance Evaluation of Conventional CNN Architectures and Modified ALEXNET for the Classification of Potatoes by Thermal Imaging

2020 ◽  
Vol 56 (9) ◽  
pp. 718-726
Author(s):  
M. A. Muthiah ◽  
E. Logashanmugam ◽  
N. M. Nandhitha ◽  
Ch. Kranthi kumar ◽  
Dama Hariteja
Keyword(s):  
Performance Evaluation ◽  
Thermal Imaging

Thermal imaging of alluvial fans: A new technique for remote classification of sedimentary features

2009 ◽  
Vol 285 (1-2) ◽  
pp. 124-130 ◽  
Author(s):  
Craig Hardgrove ◽  
Jeffrey Moersch ◽  
Stephen Whisner
Keyword(s):  
Thermal Imaging ◽  
New Technique ◽  
Alluvial Fans ◽  
A New Technique

scholarly journals Unsharpness of Thermograms in Thermography Diagnostics of Electronic Elements

Electronics ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 897
Author(s):  
Krzysztof Dziarski ◽  
Arkadiusz Hulewicz ◽  
Grzegorz Dombek ◽  
Ryszard Frąckowiak ◽  
Grzegorz Wiczyński
Keyword(s):  
Thermal Imaging ◽  
Strong Influence ◽  
Contact Method ◽  
Thermal Camera ◽  
Simple Tool ◽  
Semiconductor Electronic ◽  
Electronic Element ◽  
Imaging Camera ◽  
Electronic Elements

Work temperature is a factor, which has a strong influence on the work of a semiconductor electronic element. Operation of an electronic element in an excessive temperature causes the element not to work correctly. For this reason, monitoring the temperature of the element is necessary. One of the methods, which allows the monitoring of electronic element temperature is thermography. This non-contact method can also be used during the operation of the electronic element. The reading of a thermal camera depends on several factors. One of these factors is the sharpness of the registered thermograms. For this reason, research was carried out to develop a simple tool that allows a clear classification of thermograms of electronic elements into sharp and unsharp thermograms. In the research carried-out, the sharpness of the registered thermograms of electronic elements was determined by different sharpness measures. In the research, it was shown that in the case of thermograms classified as sharp, a smaller error of temperature measurement was obtained with the use of a thermal imaging camera.

Detection and classification of stress using thermal imaging technique

2009 ◽  
Author(s):  
Kan Hong ◽  
Peter Yuen ◽  
Tong Chen ◽  
Aristeidis Tsitiridis ◽  
Firmin Kam ◽  
...  
Keyword(s):  
Thermal Imaging ◽  
Imaging Technique

VPID: Towards Vein Pattern Identification Using Thermal Imaging

i-com ◽  
2019 ◽  
Vol 18 (3) ◽  
pp. 259-270
Author(s):  
Sarah Faltaous ◽  
Jonathan Liebers ◽  
Yomna Abdelrahman ◽  
Florian Alt ◽  
Stefan Schneegass
Keyword(s):  
Thermal Imaging ◽  
Rejection Rate ◽  
Acceptance Rate ◽  
Identification System ◽  
Biometric Authentication ◽  
False Acceptance Rate ◽  
Vein Pattern ◽  
Implicit Approach ◽  
Distance Difference

AbstractBiometric authentication received considerable attention lately. The vein pattern on the back of the hand is a unique biometric that can be measured through thermal imaging. Detecting this pattern provides an implicit approach that can authenticate users while interacting. In this paper, we present the Vein-Identification system, called VPID. It consists of a vein pattern recognition pipeline and an authentication part. We implemented six different vein-based authentication approaches by combining thermal imaging and computer vision algorithms. Through a study, we show that the approaches achieve a low false-acceptance rate (“FAR”) and a low false-rejection rate (“FRR”). Our findings show that the best approach is the Hausdorff distance-difference applied in combination with a Convolutional Neural Networks (CNN) classification of stacked images.

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