TwinTurbine

This group academic project, involving four participants, is part of the Design for Complex and Dynamic Contexts (DCDC) course at Stockholm University. Our project aims to create a digital twin prototype within an immersive environment. Utilizing Meta's Spatial Anchors, we aim to provide a collaborative experience, enhanced by IoT integration for tangible interactions.

TwinTurbine Logo

Poster

1. Introduction

Welcome to TwinTurbine, a cutting-edge digital twin project designed to let you experience the operation of a wind turbine in a mixed reality (MR) environment. MR enables multi-user collaboration, allowing multiple users to monitor and control the wind turbine's operations from remote locations. By leveraging MR, users can visualize the wind turbine and its real-time data in a Mixed reality environment, receive immediate feedback, and interact dynamically with the physical turbine throughout the experience. As accessing a real physical turbine was not feasible, we used a scaled physical turbine model to accurately emulate the behavior of a real wind turbine.

1.1. Digital Twin:

A Digital Twin(DT) is a virtual replica of a physical object, system, or process. This digital model is designed to accurately reflect the physical counterpart, capturing its characteristics, behaviors, and states. Digital twins are used to simulate, analyze, and monitor real-world objects or systems in real-time, allowing for improved decision-making, predictive maintenance, and optimization.

In simple terms, a digital twin is like having a detailed, interactive 3D model of a machine, building, or even an entire city that you can use to see how it works, predict problems before they happen, and find ways to improve it. This entire concept operates on the basis of five components: the physical entity, the virtual entity, services,data, and the connection between the physical and digital worlds.

1.2. Five-dimension DT modeling components:

The five-dimension DT model consists of five essential components that work together to create a comprehensive and interactive system. In TwinTurbine, these components are outlined as follows:

1. Physical Entity: The actual, real-world object or system being replicated digitally. This includes the physical assets and hardware involved in the project, such as the scaled wind turbine, servo motor, generator, and photoresistor sensor. In TwinTurbine, the scaled physical entity generates a voltage, providing real-time data displayed on the GUI.The Servo motor rotates the scaled physical turbine according to the Wind direction; Generator generates electricity and Photoresistor sensor calculates the intensity of the light which is later converted to Voltage and passed on to the Digital dashboard.
2. Virtual Entity: A digital representation of the physical entity, simulating its characteristics and behaviors. In our project, this is visualized in a Mixed Reality environment through a VR headset. The Virtual Entity includes a virtual wind turbine and a dashboard designed to observe real-time data, control the wind turbine, and facilitate interactions.
3. Services: Analytical and operational functions that utilize data to generate insights and improve performance. TwinTurbine offers services such as remote monitoring and control, enabling users to observe data collected from physical entities and APIs.
4. Data: Data encompasses all the information collected and used by the system. In TwinTurbine, this includes real-time voltage generated from physical turbines and data from the Swedish Meteorological and Hydrological Institute (SMHI)), such as wind direction and temperature.
5. Connection The communication link that enables continuous data exchange between the physical entity and its virtual counterpart. In our project, there is a robust and continuous connection between the components and users, ensuring that physical and virtual entities are seamlessly integrated by data to provide comprehensive services.

1.3. The rationale behind this project:

The aim of this project is to develop an initial implementation of Digital Twin, encompassing all five components mentioned earlier, and introducing additional features to enhance the user experience. Alongside the Digital Twin components, an avatar has been introduced to visually engage users and guide them throughout the experience.

Users are initially guided by the avatar, which provides instructions and prompts them to begin by pressing the Green button on the dashboard. This action triggers data retrieval from the API, including real-time wind direction and location temperature data, which informs the rotation of both the Digital and scaled physical wind turbines accordingly. The scaled physical turbine generates voltage, with this data displayed on the MR environment's GUI.

The proposed solution serves as a valuable tool for effective remote monitoring, control, and optimization of turbine performance, facilitating collaboration among technicians. The digital version of the wind turbine in TwinTurbine allows users to analyze issues without the need to visit the physical site.The Mixed Reality environment adds value by enabling real-time problem discussion and on-the-fly solutions. Given that this is the initial implementation, it's important to acknowledge several limitations. However, the prototype still offers an immersive learning experience for students, professionals, and technicians, providing hands-on interaction with digital twin technology and wind turbine operations. Additionally, the avatar and visual guidance provided assist users in understanding the initial steps of interacting with the prototype.

Disclaimer/Attribution

This project uses a boilerplate from Unity-SharedSpatialAnchors. We would like to attribute and thank the original authors for their foundational work which helped in kickstarting our development.

2. Design Process

The aim of this project is to develop a digital twin of a wind turbine in Mixed Reality (MR), enabling multiple users to interact simultaneously and immersively. The design process began with brainstorming sessions to outline the project's scope, objectives, and potential challenges. This was followed by defining user interactions within the MR environment and testing various technologies to identify the most suitable tools for implementation. The virtual environment was then developed in Unity, including modeling the wind turbine and integrating real-time data visualization. Collaborative features were implemented to allow multiple users to engage with the digital twin simultaneously. Subsequent user testing provided feedback on usability, functionality, and overall experience, which led to the identification and resolution of technical and usability issues. Refinements were made based on user feedback and testing results. Finally, the project was compiled into a fully functional presentation, ready to be showcased to the intended audience.

2.1. Brainstorming:

The brainstorming phase involves generating and refining ideas to establish the project's objectives, scope, and potential challenges. Our project began with discussions that organized ideas into different stages and corresponding modules. At a high level, we divided the tasks into two main modules: the tangible part and the digital part, and the portfolio module, which showcases the project's technical capabilities to a general audience in a video format.

TwinTurbine Modules

• Next, we focused on the main aspect of the tangible module: the functionality of the scaled physical wind turbine. This involved determining the necessary components such as the microcontroller and motor, and how to make them work together effectively. Through our discussions, we decided to use a servo motor to rotate the turbine on its axis, allowing it to turn accurately towards the wind direction.

Initial Sketch: Exploring the Feasibility of Servo Motor for Turbine Control.

• Subsequently, we considered how to showcase the data generated by the physical asset to users in real-time. This led us to focus on developing a graphical user interface (GUI). We deliberated on the relevant fields and how best to present them to users.

GUI Wireframe

• Following that, we turned our attention to finalizing the connections between all these components, from the tangible parts to the Unity environment running in the VR headset. Initially, we considered implementing a central server to manage requests between the microcontroller and Unity. However, we recognized that this approach introduced additional dependencies. After careful consideration, we opted for a direct connection between the microcontroller and Unity. This decision aimed to facilitate faster transactions and reduce maintenance requirements, representing a step towards an optimal solution.

Connections Between different components

2.2. User Persona:

This prototype, TwinTurbine caters to several user groups, with a primary focus on three key personas during the design and development of the prototype.

1. Engineers and Technicians:

This group comprises individuals responsible for engineering wind turbines for efficiency, innovation, and environmental sustainability, as well as technicians tasked with fixing issues at physical wind turbine sites.

Engineers and Technicians require advanced tools for monitoring and controlling wind turbines. Traditional wind turbine monitoring and control rely on physical site visits, to identify and address both functional and cosmetic issues, posing logistical challenges and safety risks. For instance, in cases of extreme weather conditions exceeding a turbine's operational capacity, technicians typically need to conduct emergency shutdowns on-site. However, such visits become less frequent with TwinTurbine's XR (Extended Reality) capabilities. During emergencies or routine inspections, the immersive features of TwinTurbine assist in rapid problem diagnosis and solution implementation, minimising downtime and operational costs.

Engineers designing novel wind turbines can leverage the prototype for virtual troubleshooting, eliminating the need for physical fixes. XR's immersive environment allows them to observe turbine behaviour under various conditions, manipulate the digital model, and test feasibility before real-world implementation. This surpasses the limitations of 3D displays in several aspects. The immersive experience facilitates collaboration and discussion, enabling comprehensive analysis and proactive issue identification.

2. Educators and Students:

This group comprises instructors developing and delivering educational programs, and students seeking knowledge and practical skills in this rapidly growing field.

Traditional methods relying on textbooks and static visuals can be dry and lack real-world context. Educators and students alike require engaging tools to promote active participation and a deeper understanding of wind turbine technology.While 3D screens or projections offer some improvement over traditional methods by addressing dryness, they still lack interactivity.

However, traditional classrooms often lack opportunities for hands-on exploration due to safety concerns. Visiting a physical turbine site poses risks, and visualizing abstract concepts like component interactions and real-time data can be challenging.

TwinTurbine addresses these issues by providing a safe and controlled virtual environment with Mixed Reality (MR). Here, students can explore the intricacies of wind turbine operations without physical risks. The MR environment allows them to visualize real-time data superimposed on a physical model, fostering a deeper understanding of the relationship between data and physical turbine behavior. This combination of safety, visualization, and interactivity makes TwinTurbine a valuable tool for educators and students. Additionally, students gain insights into the broader concept of digital twins while exploring wind turbine technology.

3.General Users:

This broad user group encompasses everyone curious about Wind energy, Digital twin technology, or Extended reality (XR) – from professionals to the general public. It includes first-time viewers and encompasses the aforementioned target user groups.

Understanding a novel prototype can be challenging with traditional methods. To address this, TwinTurbine utilizes an avatar alongside video and audio narration. This user-friendly approach guides first-time viewers through the prototype's components and functionalities, ensuring a smooth and hassle-free onboarding experience. Additionally, the engaging nature of the avatar and narration fosters interest and encourages users to explore how TwinTurbine can address their needs.

2.3. Pre-User Journey:

Before users begin interacting with the prototype, several crucial steps are taken to ensure a seamless experience. Our team members meticulously prepare the environment to guarantee smooth operation.

One team member takes the role of the "host," while the other is as the "client." Both participants utilize the same application version.

The host initiates the process by launching the "Anchor Sharing Demo" from the menu and creating a room. The application leverages a unique app ID for network authentication, restricting unauthorized users from joining the room. The client receives a notification upon the room's creation and proceeds to join. The client patiently awaits the host to create, align with, and share an anchor.A brief delay (approximately two seconds) occurs before the shared spatial anchor becomes visible to the client. Upon successful visualization, the client aligns themself with the anchor, ensuring both participants share the same virtual space with accurate virtual coordinates. The video below provides a quick overview of the aforementioned steps

https://github.com/Mukheem/TwinTurbine/assets/19348206/00bda476-ee94-4509-b6ef-2a3ed65e25c1

The next steps involve spawning of the Avatar, Turbine, GUI simultaneously triggering a start to user's journey.

2.3. User Journey:

The user experience begins with a welcoming narration delivered by a virtual avatar. Accompanying the narration are relevant video clips that provide a clear project overview. Users are then presented with a virtual wind turbine, a digital twin of the physical model placed nearby.

The avatar guides the user through interaction with the prototype. Pressing the green button initiates the system.

Upon activation, the prototype retrieves wind direction data from the Swedish Meteorological and Hydrological Institute (SMHI) in real-time. This data is used to adjust the alignment of both the physical and virtual turbines, ensuring optimal performance based on actual wind conditions.

As wind flows at a certain speed, the scaled physical wind turbine generates electricity, illuminating a light. The light's intensity is measured by a photoresistor sensor. This sensor reading is then converted into voltage, which is displayed on a menu to provide users with real-time feedback on the energy being produced.

The user experience fosters a sense of immersion. Users can freely walk around the virtual space, collaborate with others, and observe the latest operational state of the wind turbine. This interactive environment enhances user engagement and understanding.

A detailed walkthrough video is available below for further exploration.

https://github.com/Mukheem/TwinTurbine/assets/19348206/a229755e-d4e0-48be-b5b3-d74f64afa169

2.4. Wireframes and Prototypes:

Visual representations and preliminary models are essential for failproof development before full-scale implementation. Since this experience is in a mixed reality (MR) environment, it includes objects that users can interact with in both virtual and physical settings. Virtual entities act as simulators for physical entities, allowing seamless interaction. Moreover, the experience is designed for multiple users, enabling them to visualize and modify settings while observing changes made by others.

To determine the most effective technologies for our project, the team experimented with various tools and methods. This included evaluating different physical wind turbines models, testing various virtual wind turbine assets, and comparing multiple servo motors, stepped motors. Additionally, we assessed the performance of the project using different VR headsets, specifically the Meta Quest 3 and Meta Quest 2 Pro, to identify which platform best meets our goals.

2.4.1 Organizing physical entities:

One of the five major components of a digital twin is the physical entity. In TwinTurbine, a scaled wind turbine serves as the physical entity, playing a prominent role in emulating an actual wind turbine to send and receive data to and from the virtual entity. The initial design envisioned the physical entity rotating on its own axis based on wind direction. We explored using a stepper motor for this purpose. However, we ultimately decided to utilize a servo motor to achieve the desired functionality.

Protoype of WindTurbine placed over Servo motor during brainstroming phase.

Later, Our discussions progressed to the logic behind the turbine's rotation. Unlike humans, servo motors don't interpret rotation in degrees, but rather in microseconds (µs) of pulse width. To bridge this gap and achieve the desired rotation based on wind direction, we implemented a conversion mechanism.

Intial Sketches showing the direction of Turbine Rotation

We employed a pre-calculation method. By determining the total time required for a 360-degree rotation, we efficiently derived the time corresponding to each individual degree.

Whiteboard showing the calculations

Finally, Recognizing the time constraints involved in 3D printing a detailed wind turbine replica, the team opted for a more efficient solution. A pre-made wind turbine model with a built-in generator and light was procured from Amazon. This readily available model expedited the development process.

The wind turbine was then mounted onto a servo motor, enabling it to rotate based on wind direction data retrieved from the API.

2.4.2 Sensors & MicroControllers:

To capture real-time data on the wind turbine's performance, a photoresistor sensor was strategically integrated into the model. This sensor, which does not include a light source itself, responds to the light generated by the wind turbine as it operates. The photoresistor converts the light intensity into a measurable voltage. This voltage data serves as a proxy for the actual power generated by the turbine.

The TwinTurbine prototype utilizes two microcontrollers: Arduino Uno and ESP32-S2-Thing Plus. These microcontrollers operate in tandem to achieve efficient data transfer and control. The ESP32 fulfills the need for seamless Wi-Fi connectivity, allowing for hassle-free data transmission to the user environment without requiring additional setup.Arduino boasts a wider range of established libraries specifically designed for servo motor control, simplifying the implementation process in this project.

This Wi-Fi-enabled microcontroller ESP32, serves as the primary communication hub. It gathers data from the photoresistor sensor, which measures light intensity as a proxy for generated power. This data is then transmitted to the Unity environment using the WebSockets protocol, enabling real-time visualization. Additionally, the ESP32 receives wind direction data from Unity.Arduino Uno excels at servo motor control. It leverages readily available libraries to precisely control the wind turbine's rotation based on the wind direction data received from the ESP32.

2.4.3 External Data:

While the prototype utilizes a scaled physical turbine, the goal was to mimic the behavior of a real wind turbine operating in its actual environment. To achieve this, we incorporated real-time weather data from the Swedish Meteorological and Hydrological Institute (SMHI).

Specifically, the following data points are retrieved from SMHI for the designated location (set to Kista):

Wind Direction: This data is used to control the rotation of the physical turbine using the servo motor and also the digital Wind turbine, ensuring it aligns with the actual wind conditions.
Wind Speed: While not currently used to directly impact the physical turbine's rotation, but the wind speed data is integrated with the digital wind turbine and it rotates as per the real wind speed in the hosted location.
Temperature: While temperature data isn't directly used for the current functionality, it can be valuable for future considerations, such as analyzing potential temperature effects on power generation.
Enhanced Location Display: The user interface displays the current location, set to Kista in this instance. This transparency allows users to understand the context of the real-time weather data being utilized.

2.3.4 3D Printing:

While utilizing a pre-made wind turbine offered time-saving benefits, a challenge arose in integrating it with the servo motor for directional control. To overcome this hurdle, our team designed a custom adapter using Fusion 360 software.

This 3D-printed adapter serves two crucial functions:

1. It bridges the physical gap between the servo motor and the wind turbine, ensuring a secure and stable connection.
2. The adapter's design facilitates the precise alignment of the wind turbine with the servo motor's rotational axis, enabling accurate control based on wind direction data.

The provided template below, created using Fusion 360, illustrates the design of the custom adapter.

3D Printed adapter design

2.5 Graphical User Interface (GUI):

The physical wind turbine generates valuable data about its performance. To effectively communicate this information to users, a user interface (UI) was designed to showcase the data in real-time. This UI serves two key purposes. First, it provides a clear and intuitive way for users to understand the data, including metrics like voltage output (representing generated power) and wind direction. The UI dynamically updates with the latest data from the physical model, offering real-time feedback on the turbine's performance under changing conditions. This not only enhances user engagement but also allows them to observe how the wind turbine behaves. Second, the UI design prioritizes user experience.

By carefully selecting the most relevant data points and presenting them clearly with easy-to-read fonts, informative labels, and potentially interactive elements, the UI ensures users of all technical backgrounds can readily grasp the real-time data and appreciate the functionality of the TwinTurbine prototype.

Initial GUI

Following user feedback received in later phases, the UI design was significantly refined.

Redefined GUI

2.6 Testing:

To guarantee a successful user experience, the TwinTurbine project underwent rigorous user testing throughout development. This testing ensured the virtual model accurately displayed real-time data (voltage and environmental variables) from both the physical turbine and the SMHI API. User control functionality was also evaluated, verifying participants' ability to operate the physical turbine (start/stop) and observe changes within the virtual environment. Finally, the UI design was assessed for usability through user feedback and collected notes, ensuring an intuitive and informative experience for all users.

Initial testing revealed valuable insights beyond technical functionality. User feedback highlighted a desire for a richer user experience. This led to the implementation of audio narration, aiming to further engage users and enhance their understanding of the project's functionalities.

First steps in testing

Despite the implementation of an avatar and narration, it was observed during the second round of testing that users were becoming bored due to the lack of engaging elements. The feedback indicated a need for more captivating visuals to keep users both guided and engaged.

Second round of user testing

When we determined that the level of engagement was sufficient given the project's development timeline, we ceased implementing new features. We then conducted testing with external users and received feedback that was overall satisfying.

External users testing the application in collaboration

Rigorous user testing played a crucial role, guiding the project's evolution. Through iterative testing cycles, we addressed technical functionality, user control, and ultimately, user engagement. By incorporating an informative avatar, narration, and engaging visuals, we ensured a user-friendly and informative experience for all. The positive feedback received from external user testing served as a final validation of the project's success.

System description

TwinTurbine is an interactive learning platform designed to create an immersive and informative experience for users interested in wind energy and digital twin technology.

Features

It offers a comprehensive and interactive experience through the following features:

1. Physical Wind Turbine Integration: A scaled physical wind turbine serves as the foundation, mimicking the behavior of a real-world turbine. Sensors capture real-time data on factors like wind speed and direction, voltage output, and potentially temperature (depending on future integration).

2. Immersive Virtual Environment: Participants are immersed in a virtual world featuring a realistic wind turbine model. An avatar guides users and provides informative narrations, explaining the concepts of digital twins and the project's functionalities.

3. Collaborative Multi-User Experience: The virtual environment fosters collaboration. Multiple users can interact with each other in real-time, observing one another's actions and the impact of changes within the simulation.

4. Real-Time Data Visualization: A user-friendly Graphical User Interface (GUI) displays real-time data retrieved from the physical sensors and APIs. This data can include wind speed, direction, temperature (if integrated), and the voltage generated by the physical turbine. This allows users to understand the turbine's performance under various conditions.

5. Interactive Control via Poke Gestures: Users can leverage intuitive poke gestures to control buttons within the virtual environment. This fosters a natural and engaging interaction experience.

Call to Action: Want to experience TwinTurbine firsthand? Watch the demo video made in collaboration

Setting Up the Development Environment:

This guide outlines the installation process for the TwinTurbine project, designed for users with basic knowledge of Unity,C#, Internet of Things (IoT), and verified Meta developer accounts.

1.Software and Hardware Requirements:

Software:

• Unity Hub (latest stable version recommended)
• Unity (2021.3.32f1)
• Arduino IDE (latest stable version recommended)
• Additional libraries for Arduino and Unity (details provided in later steps)
• Meta developer account (verified)
• Meta Quest Link
• Meta Quest Developer Hub
• Photon account and App id for your application to be connected over network. This is mandatory so that multi-user experience is facilitated.

Hardware:

• Computer(Operating System: Windows 10 (64-bit)) with Unity installed (2021.3.32f)
• Meta Quest VR headset ( Quest 3 or Quest 2 Pro)
• ESP microcontroller (ESP32-S2-Thing Plus)
• Arduino Uno microcontroller
• Additional hardware items mentioned below.

2.Configuring the Development Environment:

Configuring Meta Quest VR Headset:

• (Optional) If you could be the admin of the VR headset, things might get easier
• Follow the official Meta Quest setup guide to ensure your VR headset is properly connected and configured for development purposes with your verified Meta developer account.
• Create an Organization from this link and add the users who would use the project. Ensure that there should be atleast two users one being the host and the other being the client.

Circuit: For accurate configuration of connections between the various components, please refer to the provided circuit board schematic. This schematic visually depicts the proper connections between the physical wind turbine model's sensors, the ESP microcontroller board, and the Arduino Uno microcontroller board. Following this schematic meticulously is crucial to ensure the functionality and proper data exchange between these tangible assets within the TwinTurbine system.

Requirements:

• ESP32-S2 ThingPlus Sparkfun
• Arduino Uno
• Breadboards
• Photoresistor
• Servo motor
• Jumper wires
• PhotoTransistor
• 10k Ohm Resistor
• Please be informed that the LED is the symbol of the physical wind turbine.
• Install WebSockets2_Generic.h library for ESP32 Microcontroller
• Install Servo.h for Arduino Uno Microcontroller

Circuit Schematics

Microcontroller Code: You can find the Arduino Code in the file sketch_VoltageUnity) and ESP32 code in the file Esp32_Client_test.ino

Note: In the ESP32 code, you have to change the Wifi User name and Password as per your network configuration.

Deploy the corresponding code to Arduino and ESP micro controllers and then turn them on respectively.

Unity Project from GitHub:

• You will need the GitHub repository URL for the TwinTurbine project files.
• Open a web browser and navigate to the provided GitHub URL.
• Click the green "Code" button and then select "Download ZIP". This will download a compressed file containing the project files.
• Extract the downloaded ZIP file to a convenient location on your computer.
• Launch Unity from Unity Hub.
• In Unity, go to File > Open Project.
• Navigate to the extracted folder containing the TwinTurbine project files and select the project folder.
• Click "Open" to import the TwinTurbine project into Unity.
• Install Oculus Meta XR SDK from asset store, A NuGet Package Manager for Unity using github url and websocket-sharp libraries.
• Inside Unity, in the Toolbar, select “Oculus” → “Platform” → “Edit Settings”. Under “Application ID”→ “Meta Quest/2/Pro” paste the App ID, you just got from the Meta Quest Developer Website
• Inside Unity, Navigate to “Window” → “Photon Unity Networking” → “Highlight Server Settings”.In your “Project” tab you should see a file called “PhotonServerSettings” pop up, click it.Inside “PhotonServerSettings” → “App Id PUN”.

3.Executing/Building the project:

• When everything is configured and connected, you can connect your headset to your computer through Meta quest link and then run the project in unity.
• User should be able to see the menu to select the sample and then create a room.
• If you want to test multi user experience, you need to Go to File > Build Settings and select 'Android' as the target platform. Click 'Switch Platform' to confirm
• With your project configured, Click 'Build' and choose a name and location for the generated APK file.

Usage

Getting Started with TwinTurbine: A Collaborative Wind Turbine Experience TwinTurbine allows you and other users to explore and interact with a virtual wind turbine in real-time using Meta Quest VR headsets. Here's how to get started:

1. Gear Up and Enter the Virtual Environment: Ensure both participants have their Meta Quest VR headsets on and are ready to enter the Immersive world.

2. Join or Create a Room: Using your controller, navigate to the menu interface and select either "Create Room (User A)" or "Join Room (User B)" depending on your role. Typically, the "right index trigger" button on your controller will confirm your selection.

3. Synchronize Your Experience (Spatial Alignment): Choose "Create New Anchor & Share It (User A)" or "Align to the Anchor (User B)" to ensure both users see the virtual wind turbine and environment in the same location.

4. Listen to Your Guide: Informative narrations will guide you through the functionalities within the environment.

5. Control the Turbine: Locate the green virtual button labeled "Start" on the turbine interface. Press this button to activate the experience. In case of an emergency, press the red virtual button labeled "Emergency" to immediately reset the turbine's values and stop its rotation.

6. Real-Time Data Visualization: A user-friendly Graphical User Interface (GUI) within the virtual environment displays real-time data such as wind speed, direction, temperature (upon integration), and the voltage generated by the physical wind turbine. This allows you to observe the turbine's performance under various conditions.

References & Attributions

Code base:

• Unity-SharedSpatialAnchors - Boilerplate to start the development

Mixed Reality:

• Passthrough - To facilitate Mixed reality experience

Scene:

• Scene API - To cater Mixed reality experience with a better understanding of surroundings

Spatial Anchors:

• Oculus Spatial Anchors - Spatial Alignment for multi-user experience

Networking:

• Photon - Networking for multi-user experience

User Interface (UI):

• Valem - GUI interface inspiration
• Luis Quintero ( A Stockholm University Professor) - Attribution for GUI interface contribution

Assets:

• Unity Asset Store - Wind Turbine 3D Model
• Mixamo - 3D Avatar
• Physical asset - A Scaled physical turbine
• Charles Windlin ( A Stockholm University Professor & Co-ordinator) - Attribution for designing 3D Adapter in Fusion 360.

Audio:

• Elisa K. (A Stockholm University Student) - Attribution for Audio Narration

Teaching Assistants:

• António Braga
• Karan Dudeja

We'd like to give a big shout-out to our Teachers, António Braga and Karan Dudeja. Their up-to-date knowledge of Unity, Spatial Anchors and related designing concepts was a huge help in getting this project off the ground. They were always willing to share their experience and insights, which made a big difference in our understanding and the overall success of the project.

Contributors

Abdul Mukheem Shaik , Masoomeh Advand, Mina Maddahi , Zeinab Bagheri Fard