Augmented reality in industrial equipment configuration
Hensley, Jennifer (2025)
2025
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025060621185
https://urn.fi/URN:NBN:fi:amk-2025060621185
Tiivistelmä
This thesis project explored the use of AR in industrial equipment configuration for FieldLab at TAMK. The goal was to develop an interactive AR experience to configure log wagon model to enable users to visualise and customize components in real time through mobile and Microsoft HoloLens 2 devices.
The experience allows users to change colours, wheels and add or remove components from the 3D model. Product information is displayed in a dynamic popup triggered by tapping the individual parts. This was achieved through API integration. In addition, a real-time pricing system was implemented, dynamically updating the total cost, which could be tapped to open a popup with a price breakdown.
While the mobile version was fully implemented and functional, the HoloLens 2 version was not completed. This was due to changing requirements and time constraints. These were partially caused by the project including training and very detailed documentation for FieldLAB, enabling development and adaptation of the JavaScript/Angular based logic in later projects.
The result shows the potential of AR tools in streamlining industrial configuration processes, which supports customer decision making. It provides a frame-work for future AR-based configuration systems.
The experience allows users to change colours, wheels and add or remove components from the 3D model. Product information is displayed in a dynamic popup triggered by tapping the individual parts. This was achieved through API integration. In addition, a real-time pricing system was implemented, dynamically updating the total cost, which could be tapped to open a popup with a price breakdown.
While the mobile version was fully implemented and functional, the HoloLens 2 version was not completed. This was due to changing requirements and time constraints. These were partially caused by the project including training and very detailed documentation for FieldLAB, enabling development and adaptation of the JavaScript/Angular based logic in later projects.
The result shows the potential of AR tools in streamlining industrial configuration processes, which supports customer decision making. It provides a frame-work for future AR-based configuration systems.