Deep learning-based object detection in augmented reality: A systematic review
Recent advances in augmented reality (AR) and artificial intelligence have caused these
technologies to pioneer innovation and alteration in any field and industry. The fast-paced …
technologies to pioneer innovation and alteration in any field and industry. The fast-paced …
Deep-learning-based visual data analytics for smart construction management
Visual data captured at construction sites is a rich source of information for the day-to-day
operation of construction projects. The development of deep-learning-based methods has …
operation of construction projects. The development of deep-learning-based methods has …
[HTML][HTML] Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models
J Zipfel, F Verworner, M Fischer, U Wieland… - Computers & Industrial …, 2023 - Elsevier
Across many industries, visual quality assurance has transitioned from a manual, labor-
intensive, and error-prone task to a fully automated and precise assessment of industrial …
intensive, and error-prone task to a fully automated and precise assessment of industrial …
Point cloud-based dimensional quality assessment of precast concrete components using deep learning
The dimensional quality of precast concrete (PC) subcomponents (concrete and rebars)
should be inspected in advance to ensure assembly quality. Currently, PC components are …
should be inspected in advance to ensure assembly quality. Currently, PC components are …
[HTML][HTML] Dynamic graph convolutional network for assembly behavior recognition based on attention mechanism and multi-scale feature fusion
C Chen, X Zhao, J Wang, D Li, Y Guan, J Hong - Scientific Reports, 2022 - nature.com
Intelligent recognition of assembly behaviors of workshop production personnel is crucial to
improve production assembly efficiency and ensure production safety. This paper proposes …
improve production assembly efficiency and ensure production safety. This paper proposes …
Learning human-process interaction in manual manufacturing job shops through indoor positioning systems
F Pilati, A Sbaragli - Computers in Industry, 2023 - Elsevier
Nowadays, manufacturing systems are increasingly embracing the Industry 4.0 paradigm.
Therefore, manual and low-standardized manufacturing environments are often digitized …
Therefore, manual and low-standardized manufacturing environments are often digitized …
[HTML][HTML] Poka yoke meets deep learning: a proof of concept for an assembly line application
M Martinelli, M Lippi, R Gamberini - Applied Sciences, 2022 - mdpi.com
In this paper, we present the re-engineering process of an assembly line that features speed
reducers and multipliers for agricultural applications. The “as-is” line was highly inefficient …
reducers and multipliers for agricultural applications. The “as-is” line was highly inefficient …
[HTML][HTML] Towards automated optimization of residual convolutional neural networks for electrocardiogram classification
The interpretation of biological data such as the ElectroCardioGram (ECG) signal gives
clinical information and helps to assess the heart function. There are distinct ECG patterns …
clinical information and helps to assess the heart function. There are distinct ECG patterns …
[PDF][PDF] A deep learning-based worker assistance system for error prevention: Case study in a real-world manual assembly
A Riedel, J Gerlach, M Dietsch, S Herbst… - Advances in …, 2021 - apem-journal.org
ABSTRACT ARTICLEINFO Modern assembly systems adapt to the requirements of
customised and short-lived products. As assembly tasks become increasingly complex and …
customised and short-lived products. As assembly tasks become increasingly complex and …
[HTML][HTML] Robust assembly assistance using informed tree search with Markov chains
Manual work accounts for one of the largest workgroups in the European manufacturing
sector, and improving the training capacity, quality, and speed brings significant competitive …
sector, and improving the training capacity, quality, and speed brings significant competitive …