Artificial Intelligence Enhancing Process Control
AI capabilities in computer vision, machine learning, and predictive analysis are helping Industrial Automation process control and quality inspection. AI-powered machine vision systems can visually inspect products or parts moving on a conveyor for defects or errors. Any issues are immediately detected and defective units removed without slowing down production. AI actively monitors production processes and detects anomalies, predicting potential faults before downtime occurs. It provides real-time optimization recommendations to equipment controllers to maintain consistent output. AI is enabling more flexible automated production that can respond faster to changes in demand or specifications.

IoT Driving Connected Automation
Industrial IoT connects all machines, equipment, and devices on the factory floor digitally. Sensors on each asset continually transmit operational data via the network. This data combined with analytics provides real-time visibility into overall equipment effectiveness. IoT enables remote monitoring and control of manufacturing facilities from any location.  

It alerts managers to issues even before on-site staff are aware. IoT-connected machines and tools self-diagnose problems and request maintenance. Predictive maintenance keeps automated systems running optimally with minimal downtime. IoT removes humans from hazardous environments while improving productivity and quality control.

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