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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