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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

Solution

Home > Workload Solutions > Computer Vision > White Papers > Digital Twin Journey: Computer Vision AI Model Enhancement with Dell Technologies Solutions & NVIDIA Omniverse > Solution

Solution

  • 3D Digital Twin model/simulation framework

    To create, manage, manipulate, collaborate, and simulate Digital Twin assets, a suitable modeling framework is required. In the context of the selected CV use case, the solutions modeling framework needs to provide capabilities such as:

    • Accurately model 2D and 3D visual environments
    • Create additional 2D and 3D assets
    • Physically and visually simulate different scenarios such as different scene perspectives, domain conditions, location, lighting, color, texture, and background
    • Generate synthetic data based on modeled scenarios, including metadata such as object labeling and location coordinates
    • Integrate with Digital Twin workflows and data pipelines
    Figure 4. 3D simulation framework used to model suitable scene and corresponding data
    This image shows the simulation framework for a 3D Digital Twin model

    This solution leverages 3D SimReady assets (visually and physically accurate digital building blocks) to model numerous scene scenarios and generate corresponding synthetic data, which is then used to enhance the training of a CV object detection model.