Overview
This project focused on transforming reality capture data of a large-scale facility into a real-time 3D digital twin used for simulation, operational analysis, and visualization. The goal was to streamline the integration of scan data into a dynamic and interactive environment that could support real-time decision-making in industrial and logistics operations.
My Role
I was responsible for taking pre-designed elements and ensuring they were properly optimized and structured within Unreal Engine. My tasks included:
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Reviewing and validating imported geometry and assets within Unreal Engine.
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Organizing the full scene layout to ensure clean hierarchy, naming conventions, and efficient asset management.
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Creating a fully assembled and navigable environment suitable for simulation and presentation.
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Managing lighting, materials, and performance settings to balance visual fidelity with real-time performance.
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Transitioning the entire project into NVIDIA Omniverse, maintaining fidelity and structure while enabling collaborative workflows and advanced simulation capabilities.
Tools & Technologies
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Unreal Engine: Scene construction, performance tuning, asset integration.
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Omniverse: Final handoff environment for real-time collaboration and simulation.
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Reality Capture Tools: Source data provided as point clouds and mesh assets.
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Version Control / Collaboration: Structured workflows to support team-based iterations and delivery.
Outcome
The final digital twin was successfully deployed in Omniverse, enabling real-time operational analysis and scenario simulation. The transition process significantly reduced development time, improved team collaboration, and provided a high-quality, interactive environment for stakeholders and technical teams.