AI & ML in Manufacturing
Automated Visual Inspection Using Tensorflow
Identifying dented cans while moving at high speeds on a conveyor belt.
Resources
Use cases
Identify age left on the parts and likelihood of failure using Machine learning. Applicable to asset management in Mining, Oil & Gas manufacturing.
Understand the bottlenecks and congestion steps in the warehouse process and apply operations research to improve the efficiency of the established workflows.
Integrate sensor and device data using IOT to ensure systems are running and thereby avoiding any unplanned outages.
Predict any chance of failure in the procurement process and understand any supplier related performance issues and help take corrective action to ensure business continuity.
Use video feeds to improve the quality control by automating the inspection steps using machine learning
Detect hotspot failures in wafer production using Deep Learning techniques
Identify age left on the parts and likelihood of failure using Machine learning. Applicable to asset management in Mining, Oil & Gas manufacturing.
Predict any chance of failure in the procurement process and understand any supplier related performance issues and help take corrective action to ensure business continuity.
Understand the bottlenecks and congestion steps in the warehouse process and apply operations research to improve the efficiency of the established workflows.
Use video feeds to improve the quality control by automating the inspection steps using machine learning
Integrate sensor and device data using IOT to ensure systems are running and thereby avoiding any unplanned outages.
Detect hotspot failures in wafer production using Deep Learning techniques
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Thought Leadership
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