Industrial Use Cases for Augmented Reality Application

Bellalouna, Fahmi

doi:10.1109/coginfocom50765.2020.9237882

Cited by 11 publications

(4 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This means that our framework can enhance the quality of the entire industrial life cycle by applying different task assignments. Particularly, Bellalouna [63] presented a dynamic section view function that creates cross sections through the gearbox to display the state of the interior assembly and parts in 3-D space. If an engineer is equipped with a human-computer platform and temperature, humidity, and pressure sensors, which transmit data via an IoT device to the foundation models in real time, the engineer will receive all the information from certified and validated foundation models.…”

Section: A Technical Details For Seefmm In Industrial Metaversementioning

confidence: 99%

A Novel Scenarios Engineering Methodology for Foundation Models in Metaverse

Tian

et al. 2023

IEEE Trans. Syst. Man Cybern, Syst.

View full text Add to dashboard Cite

Foundation models are used to train a broad system of general data to build adaptations to new bottlenecks. Typically, they contain hundreds of billions of hyperparameters that have been trained with hundreds of gigabytes of data. However, this type of black-box vulnerability places foundation models at risk of data poisoning attacks that are designed to pass on misinformation or purposely introduce machine bias. Moreover, ordinary researchers have not been able to completely participate due to the rise in deployment standards. This study introduces the theoretical framework of scenarios engineering (SE) for building accessible and reliable foundation models in metaverse, namely, "SE-enabled foundation models in metaverse." Particularly, the research framework comprises a six-layer architecture (infrastructure layer, operation layer, knowledge layer, intelligence layer, management layer, and interaction layer), which can provide controllability, trustworthiness, and interactivity for the foundation models in metaverse. This creates closed-loop, virtual-real, and human-machine environments that provides the best indices and goals for the foundation models, which allows us to fully validate and calibrate the corresponding models. Then, examples of use cases from the automotive industry are listed to provide transparency on the possible use and benefits of our approach. Finally, the open research topics of related frameworks are discussed.

show abstract

Section: A Technical Details For Seefmm In Industrial Metaversementioning

confidence: 99%

A Novel Scenarios Engineering Methodology for Foundation Models in Metaverse

Tian

et al. 2023

IEEE Trans. Syst. Man Cybern, Syst.

View full text Add to dashboard Cite

show abstract

“…Tools were color-coded in these animations to provide an intuitive response. Bellalouna (2020) discussed the possibility of using dynamic sections and exploded views in AR to better understand the internal parts of machinery.…”

Section: Ar In Construction Assemblymentioning

confidence: 99%

Utilizing augmented reality for the assembly and disassembly of panelized construction

Yogeeswaran,

Chen,

de Soto

2023

ITcon

View full text Add to dashboard Cite

Prefabricated construction allows for efficient resource usage while creating higher-quality products that can be assembled on-site within a short time. While this translates to significant benefits for the overall construction, challenges arise from an increased demand for trained prefabrication assembly workers. As prefabrication calls for skills differing from traditional construction, the local labor force can be negatively affected to impede the successful uptake of prefabricated construction. Upskilling the local workforce to take on prefabrication assembly and potential disassembly can solve this problem. This is more relevant to remote construction projects as they stand to gain more from prefabricated construction. This study presents two workflows for creating Augmented Reality (AR) solutions. The AR solutions are aimed to help workers transition between traditional and prefabrication assembly in a panelized construction project. They are: (1) using QR codes to identify a panel’s intended location and construction sequence and (2) using predefined markers to show required equipment and on-site assembly procedures. The solutions are delivered through smartphones, which are readily available and provide a cost-effective medium. Furthermore, developed workflows present an opportunity to implement Design for Disassembly (DfD) concepts in a project. The proposed workflows show the potential to substantially help communicate to the workers the instructions on both the panel assembly and disassembly activities and upskill the local workforce to support the transition to prefabrication assembly in construction projects.

show abstract

“…[10] The application of AR technology has progressed rapidly ever since its first appearance in 1968 [11]. Lead time, learning time, and the number of committed errors are frequent Key Performance Indicators (KPI) used to research the benefits of integrating AR with Industry 4.0 to support operators on different operations in the manufacturing process such as remanufacturing [1], maintenance [12,13], assembly and disassembly [14][15][16], and process simulation and training [17] among others. The integration of AR with other technologies also enables the creation of applications, such as Speech-Enabled AR (SEAR) [18,19] and AR and rule-based ES (ARES) [20].…”

Section: Literature Reviewsmentioning

confidence: 99%

Optimised Shop-Floor Operator Support on an Integrated AR and PLM Framework for Remanufacturing

Díaz

Syberfeldt

2022

Advances in Transdisciplinary Engineering

View full text Add to dashboard Cite

Product disassembly and inspection are essential operations in a sustainable product life cycle, particularly in end-of-life strategies such as remanufacturing. This study identifies critical aspects of usability of a framework that supports the remanufacturing process and its operators. Two of the challenges faced by operators in remanufacturing are the number of product variants and quality decisions. As a result of these, the performance time and the number of errors committed increase. The integration of Augmented Reality (AR), product lifecycle management and expert systems increase the efficiency of managing stored data and supports the remanufacturing process and its operators. A head-mounted display has been used to run the application, allowing the operator to take it right to the working area. The information displayed during the manufacturing processes includes CAD models or images of the industrial equipment and its components and dynamic information, providing clear instructions easy to follow during the remanufacturing process. The proposed methodologic approach uses the concept of rule-based Expert Systems to determine the information content that is dynamically displayed on the AR device and to optimise the route that should be followed in remanufacturing operations. A pilot testing was done to assess the functional suitability of the final AR application to support the delivery of dynamic information in its final industrial environment. The evaluation was done in a real-working environment selecting the assembly, disassembly and inspection operations as a base. A questionnaire to measure the usability of the system was provided to the test subjects after the testing. The results from the questionnaire show a positive perception of the usability of the framework. According to the result analysis, the framework has high usability and can reduce errors and impaired decision-making.

show abstract

Industrial Use Cases for Augmented Reality Application

Cited by 11 publications

References 15 publications

A Novel Scenarios Engineering Methodology for Foundation Models in Metaverse

A Novel Scenarios Engineering Methodology for Foundation Models in Metaverse

Utilizing augmented reality for the assembly and disassembly of panelized construction

Optimised Shop-Floor Operator Support on an Integrated AR and PLM Framework for Remanufacturing

Contact Info

Product

Resources

About