scholarly journals Augmented Reality in the Presentation of City Monuments: A Case Study of “Bielsko-Biała AR Guide” Mobile Application

2021 ◽  
Vol 20 ◽  
pp. 31-40
Author(s):  
Stanisław Szombara ◽  
Małgorzata Zontek
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Mobile Device ◽  
Mobile Application ◽  
Geospatial Data ◽  
Camera Image ◽  
Historical Objects ◽  
The City ◽  
Modern Technologies

Augmented Reality (AR) is one of the modern technologies used for sharing 3D geospatial data. This article presents possible ways of enriching a mobile application containing information about 50 objects located in the city of Bielsko-Biała with an AR functionality. The application was created in two programs: Android Studio and Unity. The application allows to get to know historical objects of the city, encourages to visit them by adding virtual elements observed in the background of a real-time camera image from a mobile device. The article presents the statistics of the application usage and the results of a survey conducted among a group of testers. Feedback from application testers confirms the validity of using AR technology in the application. ROZSZERZONA RZECZYWISTOŚĆ W PREZENTACJI ZABYTKÓW MIASTA: APLIKACJA „BIELSKO-BIAŁA PRZEWODNIK AR”, STUDIUM PRZYPADKU Rzeczywistość Rozszerzona (Augmented Reality – AR) jest jedną z nowoczesnych technologii wykorzystywanych do udostępniania danych przestrzennych 3D. W artykule przedstawiono możliwe sposoby wzbogacenia aplikacji mobilnej o funkcjonalność AR. Aplikacja zawiera informacje o 50 obiektach zlokalizowanych na terenie miasta Bielska-Białej i została stworzona w dwóch programach: Android Studio oraz Unity. Aplikacja pozwala na poznanie zabytkowych obiektów miasta oraz zachęca do ich zwiedzania poprzez dodanie wirtualnych elementów obserwowanych w czasie rzeczywistym na tle obrazu z kamery urządzenia mobilnego. W artykule przedstawiono statystyki użytkowania aplikacji oraz wyniki ankiety przeprowadzonej wśród grupy testerów. Informacje zwrotne od testerów aplikacji potwierdzają zasadność zastosowania technologii AR w aplikacji.

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.

Know Your World Better

2018 ◽  
pp. 777-793
Author(s):  
Srinivasa K. G. ◽  
Satvik Jagannath ◽  
Aakash Nidhi
Keyword(s):  
Information Retrieval ◽  
Augmented Reality ◽  
Real Time ◽  
Mobile Devices ◽  
Mobile Device ◽  
Sensitive Information ◽  
Context Sensitive ◽  
Close Proximity ◽  
Augmented Reality Application ◽  
Device User

Mobile devices are changing the way people live. Users have everything on their fingertips and to support them, there are scores of application which add to the usability and comfort. “Know your world better” is an Augmented Reality application developed for Android. This application helps the user to find friends and locate places in close proximity. In this paper we talk about an application that describes a method of augmenting Point of Interests (POI's) on a mobile device. User has to move his phone pointing in a direction of his choice and POI's if any are shown in real time. The user's interest with respect to the environment is inferred from speech or by selecting from the choices; this data is used for information retrieval from the cloud. The result of context-sensitive information retrieval is augmented onto the view of the mobile and provides speech output.

scholarly journals The Real-Time Mobile Application for Classifying of Endangered Parrot Species Using the CNN Models Based on Transfer Learning

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Daegyu Choe ◽  
Eunjeong Choi ◽  
Dong Keun Kim
Keyword(s):  
Real Time ◽  
Transfer Learning ◽  
Mobile Device ◽  
Mobile Application ◽  
Feature Recognition ◽  
Species Recognition ◽  
Color Similarity ◽  
Parrot Species ◽  
The Many ◽  
Google Search

Among the many deep learning methods, the convolutional neural network (CNN) model has an excellent performance in image recognition. Research on identifying and classifying image datasets using CNN is ongoing. Animal species recognition and classification with CNN is expected to be helpful for various applications. However, sophisticated feature recognition is essential to classify quasi-species with similar features, such as the quasi-species of parrots that have a high color similarity. The purpose of this study is to develop a vision-based mobile application to classify endangered parrot species using an advanced CNN model based on transfer learning (some parrots have quite similar colors and shapes). We acquired the images in two ways: collecting them directly from the Seoul Grand Park Zoo and crawling them using the Google search. Subsequently, we have built advanced CNN models with transfer learning and trained them using the data. Next, we converted one of the fully trained models into a file for execution on mobile devices and created the Android package files. The accuracy was measured for each of the eight CNN models. The overall accuracy for the camera of the mobile device was 94.125%. For certain species, the accuracy of recognition was 100%, with the required time of only 455 ms. Our approach helps to recognize the species in real time using the camera of the mobile device. Applications will be helpful for the prevention of smuggling of endangered species in the customs clearance area.

scholarly journals Applying a Model for Trip Assignment and Dynamic Routing of Automated Taxis with Congestion: System Performance in the City of Delft, The Netherlands

2018 ◽  
Vol 2672 (8) ◽  
pp. 588-598 ◽  
Author(s):  
Xiao Liang ◽  
Gonçalo Homem de Almeida Correia ◽  
Bart van Arem
Keyword(s):  
The Netherlands ◽  
Real Time ◽  
Traffic Congestion ◽  
Programming Model ◽  
Profit Maximization ◽  
The Real ◽  
Real Size ◽  
The Impact ◽  
The City

This paper proposes a method of assigning trips to automated taxis (ATs) and designing the routes of those vehicles in an urban road network, and also considering the traffic congestion caused by this dynamic responsive service. The system is envisioned to provide a seamless door-to-door service within a city area for all passenger origins and destinations. An integer programming model is proposed to define the routing of the vehicles according to a profit maximization function, depending on the dynamic travel times, which varies with the ATs’ flow. This will be especially important when the number of automated vehicles (AVs) circulating on the roads is high enough that their routing will cause delays. This system should be able to serve not only the reserved travel requests, but also some real-time requests. A rolling horizon scheme is used to divide one day into several periods in which both the real-time and the booked demand will be considered together. The model was applied to the real size case study city of Delft, the Netherlands. The results allow assessing of the impact of the ATs movements on traffic congestion and the profitability of the system. From this case-study, it is possible to conclude that taking into account the effect of the vehicle flows on travel time leads to changes in the system profit, the satisfied percentage and the driving distance of the vehicles, which highlights the importance of this type of model in the assessment of the operational effects of ATs in the future.

Blending Augmented Reality with Real World Scenarios Using Mobile Devices

2012 ◽  
pp. 258-273 ◽  
Author(s):  
Alexiei Dingli ◽  
Dylan Seychell
Keyword(s):  
Information Processing ◽  
Augmented Reality ◽  
Environmental Factors ◽  
Mobile Devices ◽  
Mobile Device ◽  
Real World ◽  
Recommendation Systems ◽  
End Users ◽  
The Internet ◽  
The City

In this work, the authors present methods that add value to the current Web by connecting administrators of a space such as a city with its visitors. The mobile device has nowadays become an important tool in the hands of visitors of cities and the authors present it as a gateway for the administrators to their visitors. The authors present a method that processes various environmental factors during a visit and uses these factors as a context for presenting the recommendations. In this work, the authors also propose a method that can measure queues in a city, and by knowing the overall picture of the situation, it provides individual recommendations of separate mobile devices accordingly. This chapter shows, therefore, the three main steps in the process of recommendation systems: collecting information, processing the recommendations, and presenting them in an attractive way. In this case the authors focus on presenting recommendations through augmented reality in order to provide an attractive tool for end users, which would, at the end of the day, connect them further to the city over the Internet.

THE ROLE OF AUGMENTED REALITY IN DESTINATION BRANDING

2020 ◽  
Vol 26 (2) ◽  
pp. 419-436
Author(s):  
Assumpció Huertas ◽  
Jan Gonzalo
Keyword(s):  
Augmented Reality ◽  
Communication Strategies ◽  
Destination Branding ◽  
Tourism Experience ◽  
Destination Brand ◽  
The Impact ◽  
The City ◽  
Depth Interviews

Purpose – The goals of this study are to find out which factors contribute to AR applications generating satisfactory tourism experiences; analyze the impact of AR on destination brand communication; and examine whether the act of communicating the destination brand also increases satisfactory tourist experiences. Design – The research is based on a case study of an AR application that belongs to the city of Tarragona (Spain) that reproduces its main monuments dating from the Roman era. Methodology – The study includes one survey conducted on 150 participants (75 tourists, 75 residents) and 15 in-depth interviews with respondents who used the Imageen application. Approach – The analysis provides detailed information on the users’ experiences and opinions, highlighting the different variables that provide the most satisfactory tourist experiences. Findings – The study shows that the AR application creates highly satisfactory tourism experiences, although not extraordinary. The main contribution of this study has been to demonstrate that the AR application has the potential to communicate the destination brand. Originality of the research – This study provides knowledge on the AR role in constructing a destination brand and its relationship with the tourism experience. Particularly, the findings of this paper have significant implications for DMOs and their marketing and communication strategies.

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