Mariner Case Studies How AI is Transforming Manufacturing
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How AI is Transforming Manufacturing

How AI is Transforming Manufacturing - Mariner  Industrial IoT Case Study
Analytics & Modeling - Machine Learning
Discrete Manufacturing
Factory Operations Visibility & Intelligence
Software Design & Engineering Services

Allowing defects to escape the factory damages customer relations and the brand, and leads to costly rejects or returns, while overcontrolling for defects internally leads to high labor, scrap, and rework costs. The pernicious problem of defect detection was supposed to be solved by machine vision inspection, but in many instances machine vision systems are not up to the task.

  • No condition monitoring on valves & motors.
  • Root cause analysis on failed equipment was difficult or nonexistent.
  • Engineers spend hours per week producing spreadsheets and analytics.
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Global Chemical & Textiles Company.

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Deployed AI for machine vision in the manufacturing plants. Ingests BoMs, engineering drawings, and parts specs to generate an understanding of what a complicated assembly should look like – and then watches the article on the line to make sure that assembly is correct at each station.

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[Process Optimization - Real Time Monitoring]

Alerting/Monitoring when detecting emergent conditions sooner rather than later.

[Process Optimization - Predictive Maintenance]

Predictive maintenance reduces unplanned downtime by predicting the probability of failures that impact operations

97.7% ResNet accuracy - classification accuracy on held-out test set.

30X false rejects reduction.

2-5X improvement over manual Inspection.

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