Recent Advances in Thermal Imaging and its Applications Using Machine …
2023年1月10日 · This article begins with the most recent advancements in thermal imaging, followed by a classification of thermal cameras and their key specifications, and finally a review of machine-learning techniques used on thermal images for various applications.
Real-time machine learning–enhanced hyperspectro-polarimetric imaging …
2024年9月4日 · The core technology lies in our uniquely designed metasurface encoder, which encodes spectral and polarization information into a spatial intensity distribution that can be captured by a standard camera. This is paired with a custom machine learning (ML) neural network (NN) decoder to enable real-time image recovery.
Thermal imaging is a non-contact and non-destructive method to measure the temperature of an object [15]. Thermal imaging utilizes the infrared radiation (IR) emitted from an object to create...
Using Deep Learning with Thermal Imaging for Human …
2022年7月18日 · In this study, we propose using a thermal imaging camera (TIC) with a deep learning model as an intelligent human detection approach during emergency evacuations in a low-visibility smoky fire scenarios.
Broadband thermal imaging using meta-optics - Nature
2024年2月23日 · In this paper, we report a 1 cm ( ~ 1000 λ) aperture, f/1 (numerical aperture (NA): 0.45) broadband polarization-insensitive LWIR meta-optics, designed by a multi-scale optimization technique that...
Thermal Image-Based Fault Detection Using Machine Learning
2023年11月18日 · Thermal imaging cameras convert thermal energy into visible light to study specific objects or scenes, and the resulting images, known as thermograms, are analyzed using thermography methods. Figure 1 illustrates the diverse applications of thermal imaging.
Heat-assisted imaging enables day-like visibility at night - Nature
2023年7月26日 · Writing in Nature, Bao et al. 1 present heat-assisted detection and ranging (HADAR) technology, a groundbreaking approach that uses thermal imaging, physics and machine learning to shine...
Deep learning approaches for thermographic imaging
2020年10月16日 · In this paper, we investigate two deep learning approaches to recovering initial temperature profiles from thermographic images in non-destructive material testing. First, we trained a deep neural network (DNN) in an end-to-end fashion by directly feeding the surface temperature measurements to the DNN.
Infrared machine vision and infrared thermography with deep learning…
2021年8月1日 · Machine learning-based techniques support vector machine (SVM) and multilayer perceptron (MLP) is compared with DL structures AlexNet, GoogLeNet, and the proposed CNN. The proposed Diabetic Foot Thermograms Network (DFTNet) has higher AUC-values of 0.8333, showing the usefulness to aid during the medical diagnosis.
A deep learning model for classifying human facial expressions from ...
2021年10月19日 · In the present study, we have proposed IRFacExNet, a DL-based model for the classification of facial expressions from thermal images. IRFacExNet extracts features with the help of residual and...