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Open AccessJournal ArticleDOI

Augmented Reality System for Virtual Training of Parts Assembly

Petr Hořejší
- 01 Jan 2015 - 
- Vol. 100, pp 699-706
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TLDR
In this paper, the authors used a conventional web camera to shoot a referential workplace with a worker, where there is a characteristic marker on the assembly table and the software environment can define a plane and transpose data according to the position of this marker in the real world space.
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This article is published in Procedia Engineering.The article was published on 2015-01-01 and is currently open access. It has received 107 citations till now. The article focuses on the topics: Computer-mediated reality & Augmented reality.

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Citations
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Scanning the Industry 4.0: A Literature Review on Technologies for Manufacturing Systems

TL;DR: The Industry 4.0 environment is scanned on this paper, describing the so-called enabling technologies and systems over the manufacturing environment.
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A comprehensive survey of augmented reality assembly research

TL;DR: In this article, the authors provide a concise overview of the technical features, characteristics and broad range of applications of AR-based assembly systems published between 1990 and 2015, and they are considered as recent pertinent works which will be discussed in detail.
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A Review on Industrial Augmented Reality Systems for the Industry 4.0 Shipyard

TL;DR: An IAR system architecture that combines cloudlets and fog computing, which reduce latency response and accelerate rendering tasks while offloading compute intensive tasks from the cloud is proposed.
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Augmented reality in support of intelligent manufacturing - a systematic literature review

TL;DR: The results of this review indicate that the context of research concerning AR gets increasingly broader, especially by addressing challenges when implementing AR solutions, and that the state of the art, the current challenges, and future directions of manufacturing related AR research get increasingly broader.
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Augmented and virtual reality applications in industrial systems: A qualitative review towards the industry 4.0 era

TL;DR: In this paper, the authors conduct a qualitative literature review in order to investigate the current state of these innovative technologies and their practical application in industrial systems defining their core characteristics, and propose a framework for workforce training using augmented and virtual reality.
References
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Journal ArticleDOI

A survey of augmented reality

TL;DR: The characteristics of augmented reality systems are described, including a detailed discussion of the tradeoffs between optical and video blending approaches, and current efforts to overcome these problems are summarized.
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Augmented reality applications in manufacturing: a survey

TL;DR: Augmented reality (AR) is a novel human-machine interaction that overlays virtual computer-generated information on a real world environment as discussed by the authors, which has found good potential applications in many fields, such as military training, surgery, entertainment, maintenance, assembly, product design and other manufacturing operations.
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Augmented reality projects in the automotive and aerospace industries

TL;DR: 10 AR projects from those the research, development, and deployment of AR systems in the automotive, aviation, and astronautics industries for more than five years are selected to examine the main challenges faced and to share some of the lessons learned.
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Augmented reality on large screen for interactive maintenance instructions

TL;DR: An empirical study that evaluates the effectiveness of technical maintenance assisted with interactive augmented reality instructions found that augmented instructions reduced significantly participants' overall execution time and error rate.
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A Comparison of Human Cadaver and Augmented Reality Simulator Models for Straight Laparoscopic Colorectal Skills Acquisition Training

TL;DR: The human cadaver model was more difficult but better appreciated than the simulator for laparoscopic sigmoid colectomy training, which can appropriately integrate simulators into the learning curve and maintain the benefits of both training methodologies.
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