Seagate : Smart manufacturing moves from autonomous to intelligent

Seagate has successfully deployed its first ever deep learning manufacturing project in its Normandale, Minnesota, wafer fabrication facility. Wafers—small slices of semiconductor material—are used to create the read-and-write heads on hard drives.

Following are the key takeaways from the case study for your reference:

•         Seagate has built a working, practical AI platform to improve production line efficiencies and product quality. It could provide up to 20% reduction in new cleanroom investments required for manufacturing and could lead to up to 10% reduction in hours spent on the process.

•         Internally codenamed Project Athena, Seagate’s system can process millions of microscope photographs every single day.

•         By deploying deep learning, Athena has trained itself to identify defects faster and more accurately than a human subject-matter expert.

•         Seagate can now resolve irregularities and process problems more quickly and at a lower cost than ever before. Seagate expects to see up to 300% ROI from efficiency improvements and better quality processes.

•         The Project Athena technology has a broad range of applications for all of our clients operating in the manufacturing industry. It’s a significant first step in smart manufacturing and an example of Industry 4.0 happening right now.

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