Augmented Reality In Smart Manufacturing: A User Experience Evaluation
In recent years, technological advancements including computational capabilities have rapidly increased. This advancement has led to the feasibility of developing advanced technological applications through the integration of Augmented Reality. This article presents an optimal model and application utilising Augmented Reality, Simultaneous Location, and Mapping algorithm for device identification within a smart manufacturing environment. The devices are identified based on their positions by detecting their features utilising the ORB-SLAM algorithm. The device identification is based on the use of markerless identifiers for the purpose of reducing the manual process of pasting markers on every device within the manufacturing plant. This model offers an alternative solution, with the properties of detecting devices based on their position and features. Thus, validation of this approach involved a control group toprovide a broad-base evaluation. The results are positive, with the majority of the individuals recommending the adoption of the application and its utilisation within a wider-scale deployment. Specifically, the findings demonstrate that 70% of the users approve of the use of the application in an industrial setup, 65% are satisfied with the accuracy and reliability of the app and 80% recommend the adoption and utilisation of this app in an industrial setup.
| Main Authors: | , , , |
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| Format: | Article/Letter to editor biblioteca |
| Language: | English |
| Subjects: | User Experience, Augmented Reality, Smart Manufacturing, SCADA, Markerless Identification, Computer Vision, |
| Online Access: | https://research.wur.nl/en/publications/augmented-reality-in-smart-manufacturing-a-user-experience-evalua |
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