Case study on applying augmented reality for process supervision in industrial use cases

2016 ◽  
Author(s):  
Lukas Baron ◽  
Annerose Braune
Keyword(s):  
Augmented Reality ◽  
Use Cases ◽  
Industrial Use ◽  
Process Supervision

scholarly journals Use cases and usability challenges for head-mounted displays in healthcare

2015 ◽  
Vol 1 (1) ◽  
pp. 534-537 ◽  
Author(s):  
T. Mentler ◽  
C. Wolters ◽  
M. Herczeg
Keyword(s):  
Augmented Reality ◽  
Emergency Medical Services ◽  
Information Visualization ◽  
Nursing Staff ◽  
Interaction Design ◽  
Use Cases ◽  
Design Approach ◽  
User Centered Design ◽  
Head Mounted Displays ◽  
Mobile Context

AbstractIn the healthcare domain, head-mounted displays (HMDs) with augmented reality (AR) modalities have been reconsidered for application as a result of commercially available products and the needs for using computers in mobile context. Within a user-centered design approach, interviews were conducted with physicians, nursing staff and members of emergency medical services. Additionally practitioners were involved in evaluating two different head-mounted displays. Based on these measures, use cases and usability considerations according to interaction design and information visualization were derived and are described in this contribution.

Digitale Assistenz in der Additiven Fertigung

2021 ◽  
Vol 116 (10) ◽  
pp. 701-706
Author(s):  
Maximilian Vogt ◽  
Mauritz Möller ◽  
Claus Emmelmann
Keyword(s):  
Augmented Reality ◽  
Use Cases ◽  
Additive Fertigung

Abstract Augmented-Reality-basierte digitale Assistenzsysteme werden bereits erfolgreich im industriellen Kontext eingesetzt, um die Arbeitskräfte bei manuellen Tätigkeiten zu unterstützen. Die Nutzung in der additiven Fertigung wurde allerdings noch nicht umfassend untersucht. Angelehnt an das klassische Technologiemanagement wurde ein methodisches Vorgehen entwickelt, um anwendungsspezifische Use Cases für die Additive Fertigung zu adaptieren.

Augmented Reality to increase efficiency of MEP construction: a case study

2021 ◽  
Author(s):  
Patrick Dallasega ◽  
Felix Schulze ◽  
Andrea Revolti ◽  
Martin Martinelli
Keyword(s):  
Augmented Reality ◽  
Increase Efficiency

Case Study: Enhancing Human Reliability With Artificial Intelligence and Augmented Reality Tools for Nuclear Maintenance

2018 ◽  
Author(s):  
Geoffrey Momin ◽  
Raj Panchal ◽  
Daniel Liu ◽  
Sharman Perera
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Human Error ◽  
Nuclear Industry ◽  
Industrial Accidents ◽  
Worker Productivity ◽  
Energy Agency ◽  
Computer Mediated ◽  
Critical Feedback

Human error accounts for about 60% of the annual power loss due to maintenance incidents in the fossil power industry. The International Atomic Energy Agency reports that 80\% of industrial accidents in the nuclear industry can be attributed to human error and 20\% to equipment failure. The Personal Augmented Reality Reference System (PARRS) is a suite of computer-mediated reality applications that looks to minimize human error by digitizing manual procedures and providing real-time monitoring of hazards present in an environment. Our mission is to be able to provide critical feedback to inform personnel in real-time and protect them from avoidable hazards. PARRS aims to minimize human error and increase worker productivity by bringing innovation to safety and procedural compliance by leveraging technologies such as augmented reality, LiDAR, computer machine learning and particulate mapping using remote systems.

Real-Time Occlusion Between Real and Digital Objects in Augmented Reality

2018 ◽  
Author(s):  
Kevin Lesniak ◽  
Conrad S. Tucker
Keyword(s):  
Augmented Reality ◽  
Coordinate System ◽  
Real Time ◽  
Real World ◽  
Virtual Object ◽  
Virtual Objects ◽  
Common Coordinate System ◽  
Realistic Representation ◽  
Lead Users

The method presented in this work reduces the frequency of virtual objects incorrectly occluding real-world objects in Augmented Reality (AR) applications. Current AR rendering methods cannot properly represent occlusion between real and virtual objects because the objects are not represented in a common coordinate system. These occlusion errors can lead users to have an incorrect perception of the environment around them when using an AR application, namely not knowing a real-world object is present due to a virtual object incorrectly occluding it and incorrect perception of depth or distance by the user due to incorrect occlusions. The authors of this paper present a method that brings both real-world and virtual objects into a common coordinate system so that distant virtual objects do not obscure nearby real-world objects in an AR application. This method captures and processes RGB-D data in real-time, allowing the method to be used in a variety of environments and scenarios. A case study shows the effectiveness and usability of the proposed method to correctly occlude real-world and virtual objects and provide a more realistic representation of the combined real and virtual environments in an AR application. The results of the case study show that the proposed method can detect at least 20 real-world objects with potential to be incorrectly occluded while processing and fixing occlusion errors at least 5 times per second.

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