TAIPEI, Taiwan – In a keynote presentation at the COMPUTEX conference today, NVIDIA CEO Jensen Huang showcased how AI technologies are shaping the future of the world’s largest industries.
With an estimated 10 million factories worldwide, the $46 trillion manufacturing sector represents a fruitful landscape for digital industrialization. “The world’s largest industries make physical things. Building them digitally first can save billions,” Huang stated.
Huang illustrated how electronics manufacturers including Foxconn Industrial Internet, Innodisk, Pegatron, Quanta, and Wistron are leveraging NVIDIA technologies to achieve the vision of an entirely digitized smart factory.
Utilizing NVIDIA’s Omniverse and generative AI APIs, these companies are linking their design and manufacturing tools to create digital twins of their factories. In addition, they are employing NVIDIA Isaac Sim for robot simulation and testing, and NVIDIA Metropolis, a vision AI framework, for automated optical inspection.
The newest addition, NVIDIA Metropolis for Factories, enables the creation of custom quality-control systems, providing manufacturers with a competitive edge. It’s helping companies to develop cutting-edge AI applications.
AI Turbocharges Assembly Lines
Take Pegatron, for instance, a global manufacturer of 300 products, including laptops and smartphones. It’s constructing virtual factories with Omniverse, Isaac Sim, and Metropolis, allowing it to test processes in a simulated environment, thereby saving both time and cost. Additionally, Pegatron used the NVIDIA DeepStream software development kit to develop intelligent video applications, which resulted in a 10x improvement in throughput.
Foxconn Industrial Internet, the service arm of the world’s largest technology manufacturer, is collaborating with NVIDIA Metropolis partners to automate significant portions of its circuit board quality assurance inspection points.
In a video, Huang showed how Techman Robot, a subsidiary of Quanta, is using NVIDIA Isaac Sim to optimize inspection on the Taiwan-based giant’s manufacturing lines. Essentially, it’s using simulated robots to train robots on how to make better robots.
Moreover, Huang announced a new platform designed to enable the next generation of autonomous mobile robot (AMR) fleets. Isaac AMR helps to simulate, deploy, and manage fleets of autonomous mobile robots, pointing the way toward a future where factories are more efficient, flexible, and smart, all thanks to AI.
Photo: Wikimedia