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Digital Twin Journey: Computer Vision AI Model Enhancement with Dell Technologies Solutions & NVIDIA Omniverse
Introduction Business considerations Solution overview
Solution overview
Characteristics of a Digital Twin
Foundational building blocks of a Digital Twin
Core Digital Twin components Real-world data input Starting point for a Digital Twin journey
Solution
Computer Vision 3D Digital Twin model/simulation framework Synthetic data generation Apply virtual model to real world
Partner overview Solution architecture overview Use case validation Conclusions References

Foundational building blocks of a Digital Twin

Home > Workload Solutions > Computer Vision > White Papers > Digital Twin Journey: Computer Vision AI Model Enhancement with Dell Technologies Solutions & NVIDIA Omniverse > Foundational building blocks of a Digital Twin

Foundational building blocks of a Digital Twin

  • Core Digital Twin components

    These core components form the nucleus around which a Digital Twin is formed.

    Figure 1. Core components of a Digital Twin workflow
    This image shows the core components that form Digital Twin.
    • Input from Real-world - data ingestion
    • Virtual model- software model of the real-world
    • Virtual simulations- Ability to simulate within a virtual world
    • Applied to real-world- Feedback mechanism from virtual to real-world