Mike Taylor, Duality; Steve Varga, Procter & Gamble; Mark Collins, Epic Games.
Today, consumer products are produced at unprecedented scale. They use hyper-efficient, exceedingly complex assembly processes and hundreds of material transformations. While these advances in manufacturing have increased the richness of our lives, they have also increased the complexity of the design and development process. As a result, the cost of testing has increased -- along with the cost of mistakes.
Fortunately, the precision delivered by the digital twin metaverse offers an avenue for engineers and designers to evaluate their final product and to understand the product state at intermediate manufacturing steps. Thanks to digital twins, teams can now look at virtual assembly lines and understand if the latest product design rev will work, given the current manufacturing layout, instrumentation setup, and QA procedures. All without the costs associated with physical testing and trial runs.
In this Digital Twin Consortium webinar, we will evaluate the current state of digital twins and their potential in manufacturing. Join our panelists as they lead an in-depth discussion on digital twins and synthetic data for manufacturing inspection and collaboration.
Director of Imaging, Vision & Machine Learning
Procter & Gamble
Strategy & Business Development
Co-Founder & Chief Robotics Officer