A 619-pixel machine vision enhancement chip based on two-dimensional semiconductors
Science Advances, 2022 The rapid development of machine vision applications demands hardware that can sense and process visual information in a single monolithic unit to avoid redundant data transfer.
Shunli Ma +14 more
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A multichannel optical computing architecture for advanced machine vision
Light: Science & Applications, 2022 Endowed with the superior computing speed and energy efficiency, optical neural networks (ONNs) have attracted ever-growing attention in recent years. Existing optical computing architectures are mainly single-channel due to the lack of advanced optical ...
Zhihao Xu +3 more
semanticscholar +1 more source
Application of Machine Vision System in Food Detection
Frontiers in Nutrition, 2022 Food processing technology is an important part of modern life globally and will undoubtedly play an increasingly significant role in future development of industry.
Z. Xiao +4 more
semanticscholar +1 more source
Attention mechanisms and deep learning for machine vision: A survey of the state of the art [PDF]
arXiv.org, 2021 With the advent of state of the art nature-inspired pure attention based models i.e. transformers, and their success in natural language processing (NLP), their extension to machine vision (MV) tasks was inevitable and much felt.
A. M. Hafiz, S. A. Parah, R. A. Bhat
semanticscholar +1 more source
Knowledge-based vision and simple visual machines [PDF]
, 1997 The vast majority of work in machine vision emphasizes the representation of perceived objects and events: it is these internal representations that incorporate the 'knowledge' in knowledge-based vision or form the 'models' in model-based vision. In this
Dave Cliff +10 more
core +4 more sources
Spectrally encoded single-pixel machine vision using diffractive networks
Science Advances, 2021 Diffractive networks encode the spatial information of objects into power spectrum to classify images with a single-pixel detector. We demonstrate optical networks composed of diffractive layers trained using deep learning to encode the spatial ...
Jingxi Li +8 more
semanticscholar +1 more source
MIFH: A Machine Intelligence Framework for Heart Disease Diagnosis
IEEE Access, 2020 Cardiovascular disease tops the list among all major causes of deaths worldwide. Though, prognostication and in-time diagnosis can help in reducing the mortality rate as well as increases the survival rate of patients.
Ankur Gupta +3 more
doaj +1 more source
Spectral fusion-based breathing frequency estimation; experiment on activities of daily living
BioMedical Engineering OnLine, 2018 Background We study the estimation of breathing frequency (BF) derived from wearable single-channel ECG signal in the context of mobile daily life activities.
Iman Alikhani +4 more
doaj +1 more source
Measurement uncertainty assessment for virtual assembly [PDF]
Journal of Sensors and Sensor Systems, 2021 Virtual assembly (VA) is a method for datum definition and quality prediction of assemblies considering local form deviations of relevant geometries. Point clouds of measured objects are registered in order to recreate the objects' hypothetical physical ...
M. Kaufmann +3 more
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Dynamic Partition Gaussian Crack Detection Algorithm Based on Projection Curve Distribution
Sensors, 2020 When detecting the cracks in the tunnel lining image, due to uneven illumination, there are generally differences in brightness and contrast between the cracked pixels and the surrounding background pixels as well as differences in the widths of the ...
Dan Xue, Weiqi Yuan
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