Infrared machine vision and infrared thermography with deep learning: A review

Y He, B Deng, H Wang, L Cheng, K Zhou, S Cai… - Infrared physics & …, 2021 - Elsevier
Infrared imaging-based machine vision (IRMV) is the technology used to automatically
inspect, detect, and analyse infrared images (or videos) obtained by recording the intensity …

Progress in active infrared imaging for defect detection in the renewable and electronic industries

X Zhao, Y Zhao, S Hu, H Wang, Y Zhang, W Ming - Sensors, 2023 - mdpi.com
In recent years, infrared thermographic (IRT) technology has experienced notable
advancements and found widespread applications in various fields, such as renewable …

Recent advances in thermal imaging and its applications using machine learning: A review

AN Wilson, KA Gupta, BH Koduru, A Kumar… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Recent advancements in thermal imaging sensor technology have resulted in the use of
thermal cameras in a variety of applications, including automotive, industrial, medical …

Infrared thermography and its applications: A review

AA Sarawade, NN Charniya - 2018 3rd International …, 2018 - ieeexplore.ieee.org
Thermal imaging camera is a device which is used to detect infrared radiations emitted from
an object to give a thermal profile of the scene. This device was initially used for surveillance …

Infrared thermal imaging

M Vollmer - Computer Vision: A Reference Guide, 2020 - Springer
Background Infrared (IR) radiation was discovered in 1800 by Sir William Herschel while
studying radiation from the sun. One hundred years later, Max Planck was the first to …

Infrared thermography‐based diagnostics on power equipment: State‐of‐the‐art

C Xia, M Ren, B Wang, M Dong, G Xu, J Xie… - High …, 2021 - Wiley Online Library
As a non‐contact temperature distribution measurement method, infrared thermography
(IRT) has emerged as an indispensable tool in condition monitoring and fault diagnosis of …

Deep learning for infrared thermal image based machine health monitoring

O Janssens, R Van de Walle… - IEEE/ASME …, 2017 - ieeexplore.ieee.org
The condition of a machine can automatically be identified by creating and classifying
features that summarize characteristics of measured signals. Currently, experts, in their …

A review of infrared thermography for condition-based monitoring in electrical energy: Applications and recommendations

GK Balakrishnan, CT Yaw, SP Koh, T Abedin, AA Raj… - Energies, 2022 - mdpi.com
Condition-based monitoring (CBM) has emerged as a critical instrument for lowering the
cost of unplanned operations while also improving the efficacy, execution, and dependability …

Infrared thermography recent advances and future trends

C Meola - 2012 - books.google.com
Infrared thermography (IRT) is a non-contact, non-invasive methodology which allows for
detection of thermal energy that is radiated from objects in the infrared band of the …

Deep learning augmented infrared thermography for unmanned aerial vehicles structural health monitoring of roadways

NN Kulkarni, K Raisi, NA Valente, J Benoit, T Yu… - Automation in …, 2023 - Elsevier
Sinkholes form when culverts beneath roadways fail, posing a safety hazard that requires
costly repairs and causes traffic delays. Detecting the onset of sub-pavement voids can …