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Machine learning also applied to quality control in manufacturing.

Published
16 Aug 2023
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 Machine learning also applied to quality control in manufacturing.
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Machine learning also applied to quality control in manufacturing.
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ML6 introduces a hybrid machine learning solution to optimize quality control in production processes.

23 August 2023 - ML6 introduces a hybrid machine learning solution designed to optimize quality control in production processes, combining standardized approaches with tailored customization. This innovative solution enables companies to quickly and affordably improve process efficiency and boost Overall Equipment Effectiveness (OEE).

The key benefit lies in rapid integration: by using a standardized foundation with reliable hardware and reusable building blocks, ML6 minimizes setup time, focusing only on communication with programmable logic controllers, model training, and product feature labeling. This allows deployment within weeks.

ML6’s solution enhances product quality assessment through advanced technologies like Computer Vision and Edge Computing, even at high production speeds. It identifies and removes defective items from production lines, preventing material waste and ensuring only quality products reach customers. Additionally, it provides valuable insights into process bottlenecks, allowing for adjustments that reduce defects and optimize production.

While standardized, the approach maintains necessary customization to meet specific customer needs, offering a scalable, cost-effective path to quality assurance and waste reduction.

See how ML6’s tailored AI expertise fuels growth and efficiency — explore our case studies.

  • Translation, original source: Dutch
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