A survey of industrial augmented reality

Cardoso, Luís Fernando de Souza; Mariano, Flávia Cristina Martins Queiroz; Zorzal, Ezequiel Roberto

doi:10.1016/j.cie.2019.106159

Cited by 235 publications

(83 citation statements)

References 46 publications

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“…Therefore, companies are maintaining an inventory of components. However, under the framework of Industry 4.0, and with the utilization of digital technologies, the existing inventory practices can be further improved through proper classification of the MRO components while additive manufacturing can facilitate in reducing lead times to produce several components [6][7][8][9][10][26][27][28].…”

Section: Maintenance Under the Framework Of Industry 40mentioning

confidence: 99%

“…Based on that concept, a considerable amount of research effort has been put on the design and development of real-time maintenance support tools and applications based on mobile devices to prevent unnecessary errors from happening [3][4][5][6]. With the evolution of Information and Communication Technologies (ICT) as well as the massive break out of augmented reality (AR), the research community extended that approach by exploiting the advantages of AR for data projection during the maintenance operations [6][7][8][9][10][11]. Generally, under the framework of Industry 4.0 in an…”

Section: Introductionmentioning

confidence: 99%

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Real-Time Remote Maintenance Support Based on Augmented Reality (AR)

2020

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In the realm of the current industrial revolution, interesting innovations as well as new techniques are constantly being introduced by offering fertile ground for further investigation and improvement in the industrial engineering domain. More specifically, cutting-edge digital technologies in the field of Extended Reality (XR) have become mainstream including Augmented Reality (AR). Furthermore, Cloud Computing has enabled the provision of high-quality services, especially in the controversial field of maintenance. However, since modern machines are becoming more complex, maintenance must be carried out from experienced and well-trained personnel, while overseas support is timely and financially costly. Although AR is a back-bone technology facilitating the development of robust maintenance support tools, they are limited to the provision of predefined scenarios, covering only a limited number of scenarios. This research work aims to address this emerging challenge with the design and development of a framework, for the support of remote maintenance and repair operation based on AR, by creating suitable communication channels between the shop-floor technicians and the expert engineers who are utilizing real-time feedback from the operator's field of view. The applicability of the developed framework is tested in vitro in a lab-based machine shop and in a real-life industrial scenario.

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Section: Maintenance Under the Framework Of Industry 40mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Real-Time Remote Maintenance Support Based on Augmented Reality (AR)

2020

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“…Integrating these depth images and RGB images allow camera pose estimation for tracking [85]. 3D models are often created in offline stages, but depth-sensing allows for model updates and adjustment in real time [86]. In addition, depth information is available through specific hardware such as infra-red (IR) range finders [87] and stereo view algorithms in some mobile devices [88].…”

Section: Depth Imagingmentioning

confidence: 99%

A Survey of Marker-Less Tracking and Registration Techniques for Health & Environmental Applications to Augmented Reality and Ubiquitous Geospatial Information Systems

Sadeghi‐Niaraki

Choi

2020

Sensors

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Most existing augmented reality (AR) applications are suitable for cases in which only a small number of real world entities are involved, such as superimposing a character on a single surface. In this case, we only need to calculate pose of the camera relative to that surface. However, when an AR health or environmental application involves a one-to-one relationship between an entity in the real-world and the corresponding object in the computer model (geo-referenced object), we need to estimate the pose of the camera in reference to a common coordinate system for better geo-referenced object registration in the real-world. New innovations in developing cheap sensors, computer vision techniques, machine learning, and computing power have helped to develop applications with more precise matching between a real world and a virtual content. AR Tracking techniques can be divided into two subcategories: marker-based and marker-less approaches. This paper provides a comprehensive overview of marker-less registration and tracking techniques and reviews their most important categories in the context of ubiquitous Geospatial Information Systems (GIS) and AR focusing to health and environmental applications. Basic ideas, advantages, and disadvantages, as well as challenges, are discussed for each subcategory of tracking and registration techniques. We need precise enough virtual models of the environment for both calibrations of tracking and visualization. Ubiquitous GISs can play an important role in developing AR in terms of providing seamless and precise spatial data for outdoor (e.g., environmental applications) and indoor (e.g., health applications) environments.

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“…Because of AR technology recent diffusion, long term effects on workers' health have not already been isolated. From a recent study [5], AR technology might represent a benefit for health of users, due to operator's mental workload reduction. But in other studies [6], Head-Mounted Devices like smart glasses, are said to utilize a field of view that is smaller than human's, which could cause headaches, dizziness nausea after a prolonged period of use.…”

Section: Augmented Reality Equipmentmentioning

confidence: 99%

Safety in Industry 4.0: The Multi-Purpose Applications of Augmented Reality in Digital Factories

Damiani¹,

Revetria²,

Morra³

2020

Adv. sci. technol. eng. syst. j.

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The digital factory is a concept signing a new era for industry, the so-called Industry 4.0, in which ordinary production systems like manufacturing plants, machineries and utilities are being equipped with diagnostic and sensitive instrumentation to be connected to digital shared networks. This data-sharing, trough the big data management techniques, is a fully integrated base on which digital tools can be installed and exchange information. Data stored from physical world of machines can be redirected to simulation environments like Digital Twins and can be inspected, for several purposes like predictive analysis, by humans too. On top of these scopes, within the realization of an Internet of Things, there is safety, especially in industrial sites where injury risk for operators and workers is a key factor for production sustainability. This paper, starting from a tested case study in mechanical stressed monitoring, focuses on the application of upgraded augmented reality systems for safety practices, expanding the area of interest to electric and overheating risk mitigation in electrical equipment and to emergency management.

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A survey of industrial augmented reality

Cited by 235 publications

References 46 publications

Real-Time Remote Maintenance Support Based on Augmented Reality (AR)

Real-Time Remote Maintenance Support Based on Augmented Reality (AR)

A Survey of Marker-Less Tracking and Registration Techniques for Health & Environmental Applications to Augmented Reality and Ubiquitous Geospatial Information Systems

Safety in Industry 4.0: The Multi-Purpose Applications of Augmented Reality in Digital Factories

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