Developing an CNC lathe augmented reality application for industrial maintanance training

Güler, Osman; Yücedağ, İ̇brahim

doi:10.1109/ismsit.2018.8567255

Cited by 9 publications

(6 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Section: Oblique Photography 3d Semantic Segmentation Implementation ...mentioning

confidence: 99%

“…The last step of semantic segmentation is classification calculations. Existing machine learning and deep learning algorithms train the classifier using sample data and then classify the test data [26]. An effective classifier must be selected to optimize classification by considering the global continuity of geospatial data.…”

Section: Oblique Photography 3d Semantic Segmentation Implementation ...mentioning

confidence: 99%

See 1 more Smart Citation

3D City Reconstruction: A Novel Method for Semantic Segmentation and Building Monomer Construction Using Oblique Photography

Xu,

Zeng,

Yin

2023

Applied Sciences

View full text Add to dashboard Cite

Existing 3D city reconstruction via oblique photography can only produce surface models, lacking semantic information about the urban environment and the ability to incorporate all individual buildings. Here, we propose a method for the semantic segmentation of 3D model data from oblique photography and for building monomer construction and implementation. Mesh data were converted into and mapped as point sets clustered to form superpoint sets via rough geometric segmentation, facilitating subsequent feature extractions. In the local neighborhood computation of semantic segmentation, a neighborhood search method based on geodesic distances, improved the rationality of the neighborhood. In addition, feature information was retained via the superpoint sets. Considering the practical requirements of large-scale 3D datasets, this study offers a robust and efficient segmentation method that combines traditional random forest and Markov random field models to segment 3D scene semantics. To address the need for modeling individual and unique buildings, our methodology utilized 3D mesh data of buildings as a data source for specific contour extraction. Model monomer construction and building contour extractions were based on mesh model slices and assessments of geometric similarity, which allowed the simultaneous and automatic achievement of these two processes.

show abstract

Section: Oblique Photography 3d Semantic Segmentation Implementation ...mentioning

confidence: 99%

Section: Oblique Photography 3d Semantic Segmentation Implementation ...mentioning

confidence: 99%

3D City Reconstruction: A Novel Method for Semantic Segmentation and Building Monomer Construction Using Oblique Photography

Xu,

Zeng,

Yin

2023

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…AR assisted CNC lathe app was developed that enables to rotate the virtual object around the x and y axes and left, right, up and down [7]. It avoids the necessity of rotating the mobile device or rotate the image target.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In addition, Pan et al [12] have implemented an AR app only for CA6140 lathe fork that did not explore the details and other components of a lathe. Although the study implemented the AR app, its adaptability is not measured by students [7]. Further, the study that created the AR app for the lathe machine did not facilitate any augmented animations [16].…”

Section: Literature Reviewmentioning

confidence: 99%

Application of Augmented Reality for Distance Learning to Teach Manufacturing Engineering during COVID-19 Social Distancing

Alahakoon

Kulatunga

2021

Engineer

View full text Add to dashboard Cite

The COVID-19 pandemic has created a shift in all our lives, turning in-class traditional educational systems into distance learning systems. Since distance learning is inevitable nowadays, the hands-on experience from in-class, particularly in practical sessions, is lacking. While there is a wide range of tools and technologies to enrich the student learning experience, the application of Augmented Reality (AR) is remarkable. This paper proposes a mobile app assisted with AR technology aimed to support the engineering faculty students to enhance their knowledge regarding the lathe machine and lathe operations during this pandemic period. The application consists of the augmented content of the separate parts of the lathe machine, exploded view and augmented animated content of the operations. The objective of this AR app is to guide the students regarding machineries and operations, and to introduce AR technologies to the local universities as a step of enhancing digital education. The adaptability of the AR app was experienced and verified by 72 students and the responses and feedback revealed their interest towards this educational approach. Conclusively, this study shows the effectiveness and importance of AR application specially for Manufacturing Engineering field during this distance learning period.

show abstract

“…Jaramillo-Alcazar et al (2018) proposed a mobile serious game based on basic principles of electrical circuits, which is oriented to students with hearing or visual impairments. Guler and Yucedag (2018) implemented an Android application based on game mechanics, which can be used for training in the field of Machine Technology. Some authors seek to improve engineering education by using mobile applications with augmented reality (Criollo-C et al, 2021; Kanivets et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Effects of Using Game-Based Learning to Improve the Academic Performance and Motivation in Engineering Studies

Cerra

Álvarez

Parra

et al. 2022

Journal of Educational Computing Research

View full text Add to dashboard Cite

Game-Based Learning (GBL) is increasingly widespread as a learning technique in the engineering studies. However, this innovative methodology may be difficult to incorporate in some subjects due to their complex contents. This paper aims at combining traditional learning methodologies with game mechanics to analyse the academic performance and motivation in engineering studies. Moreover, an ad-hoc gaming web environment was developed to support and control the learning process. Other modern tools such as mobile phone devices were also employed to support and encourage students. A comparative study is presented in this paper, on which 96 first-year engineering students participated. The students were randomly divided into two groups: Control Group (CG) and Experimental Group (EG). The first group made use of a traditional learning methodology, while the second group combined this traditional methodology with GBL and Information and Communication Technologies (ICT). The obtained results show that EG students significantly improve their academic performance and motivation, expressing a succinctly greater interest in the studied subject. Therefore, the integration of GBL in the teaching methodology of complex technical subjects could have a very positive impact, as well as it could greatly ease the teaching-learning process in engineering studies.

show abstract

Developing an CNC lathe augmented reality application for industrial maintanance training

Cited by 9 publications

References 8 publications

3D City Reconstruction: A Novel Method for Semantic Segmentation and Building Monomer Construction Using Oblique Photography

3D City Reconstruction: A Novel Method for Semantic Segmentation and Building Monomer Construction Using Oblique Photography

Application of Augmented Reality for Distance Learning to Teach Manufacturing Engineering during COVID-19 Social Distancing

Effects of Using Game-Based Learning to Improve the Academic Performance and Motivation in Engineering Studies

Contact Info

Product

Resources

About