Seagate Wins Manufacturing Leadership Award from a Jury of Its Peers
Today, the company received an award for an achievement in smart manufacturing from a group of its manufacturing peers—a national association of manufacturers with 14,000 company members.
The winning project provides a powerful foundation for high-volume AI analytics in the factory. Dubbed OPICA—Optical Inspection with Centralized Analysis—the novel strategy supports analytics at the factory edge. It is a no-code application of deep learning that identifies defects that can occur during production, and prevents them from escaping downstream.
“The judges who evaluated this entry noted that it pushes the envelope on inspection and demonstrated an advanced use of technology with strong, proven results,” said
Built with inclusivity in mind, the award-winning solution democratizes AI on the factory floor. It does it in at least three ways:
- It uses AI as an augmentation of human work, not its replacement: factory floor operators whose functions were taken over by AI were freed up to move to higher-functioning roles, with none of them leaving the company.
- It offers a no-code neural network training and validation solution, which makes it accessible to non-coders.
- Its development brought together people across various skill sets—engineers, data scientists, and computer scientists.
“Computer vision challenges are common in manufacturing,” said
Expertise in development of mathematical computer vision algorithms is no longer a requirement. Specialists who work in preventing defects can take images of their processes and devices, mark them up, and use the no-code software (graphical user interface) to train the model to identify contamination. The distributed knowledge opens the door to easy scalability.
Built using scalable and modular data engineering technologies such as Docker containers, Kubernetes container orchestration, RabbitMQ data messaging, edge line servers, human-in-the-loop model management dashboards, and high-speed Seagate storage, OPICA handles 3 million multi-class deep learning inferences per day.
“I’m proud of our cross-functional team’s collaborative ingenuity,” said
Applying the solution has a ROI of up to 300%. That is because, thanks to this application, inspection accuracy improved by at least 20%—and only 7 automated machines are needed to do the work of 150 operators using manual microscopes to inspect millions of parts daily.
“Seagate Technology is part of a high-performing contingent of award winners that serve as an example of what’s possible in manufacturing’s emerging digital era,” said MLC’s
The Seagate team will be recognized at the MLC's Summit’s Awards Gala on
For More Information Contact: