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Digital Twin for an Industrial Installation in VR/AR

Daniel Espinar Turing Machine Award

Digital Twin for an Industrial Installation in VR/AR

We continue to learn about the works awarded in the latest edition of the Turing Machine Awards. Daniel Espinar Jiménez, presents his Master's Thesis (TFM) at the Master's Degree in Computer Engineering, awarded in the III Turing Machine Awards by Ubotica Technologies. It focuses on the development and application of digital twins in virtual and augmented reality environments. These digital twins are virtual representations of real devices and environments that enable advanced features such as remote monitoring and interactive simulations. Using the IoT Home Assistant platform and the Unity video game engine, Daniel creates a library that makes it easy to create and manage these digital twins. The project puts into practice the library created by creating two digital twins: a smart warehouse in virtual reality and a test scenario for controlling luminaires remotely with the use of augmented reality.

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