One of the world’s largest manufacturers of smartphones, notebooks and more created an AI platform based on NVIDIA technologies. Now, it’s simulating operations in the metaverse with Omniverse.
In the fast-paced field of making the world’s tech devices, Pegatron Corp. initially harnessed AI to gain an edge. Now, it’s on the cusp of creating digital twins to further streamline its efficiency.
Whether or not they’re familiar with the name, most people have probably used smartphones, tablets, Wi-Fi routers or other products that Taiwan-based Pegatron makes in nearly a dozen factories across seven countries. Last year, it made more than 10 million notebook computers.
Building an AI Platform
“We’ve been collecting factory data since 2012 to find patterns and insights that enhance operations,” said Hsiao, a veteran tech manager who’s been with the company for 14 years, since it spun out of ASUS, one of the world’s largest PC makers.
In 2016, Pegatron’s COO, Denese Yao, launched a task force to apply new technology to improve operations. Hsiao’s team of AI experts collaborated with factory workers to find use cases for AI. One of their first pilot projects used deep learning to detect anomalies in products as they came down the line.
It got solid results using modified versions of neural network models like ResNet, so they stepped on the gas.
Today, Pegatron uses Cambrian, an AI platform it built for automated inspection, deployed in most of its factories. It maintains hundreds of AI models, trained and running in production on NVIDIA GPUs.
Fewer Defects, More Consistency
The new platform catches up to 60% more defects with 30% fewer variations than human inspectors, and factory employees appreciate it.
The system may also improve throughput as factories adjust workflows on assembly and packing stations to account for faster inspection lines.
Models Deployed 50x Faster
Vision of a Virtual Factory
If all goes well, Pegatron could have Omniverse available on its inspection machines before the end of the year.
Meanwhile, Hsiao is looking for partners who can help build virtual versions of a whole production line in Omniverse. Longer term, his vision is to create a digital twin of an entire factory.
“In my opinion, the greatest impact will come from building a full virtual factory so we can try out things like new ways to route products through the plant,” he said. “When you just build it out without a simulation first, your mistakes are very costly.”
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