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Curious about the latest trends driving technology adoption? Our VP of Cool Stuff, Greg Powers, recently shared insights with Control Design, highlighting five key trends transforming the landscape for system integrators like Gray Solutions.
Digital Twins and AI: Revolutionizing Field Deployment
At Gray Solutions, digital twins and AI are integral to our strategy for smarter, more efficient equipment deployment. By creating digital replicas of physical processes, we experiment, optimize, and validate models before field deployment, ensuring accuracy and efficiency from design through commissioning. Powers explains, “We use modeling/simulation to validate the model, ingest real data, run optimization experiments, and develop a digital twin for commissioning.”
AI-Enhanced Machine Vision: Elevating Quality Control
AI is supercharging machine vision. Our AI-powered vision systems catch anomalies and defects with unmatched precision, ensuring top-tier quality control. This tech helps manufacturers ramp up production, cut waste, and adapt seamlessly to workforce changes.
Generative AI: The Future of Industrial Control
Generative AI, built on large language models, is set to revolutionize industrial control. Right now, it’s making smart recommendations and predictions, but soon, AI will be running the show. At Gray Solutions, we’re gearing up for this shift by ensuring our systems are primed for advanced data collection and integration.
Robotics: Integral to Process Automation
Robotics are at the heart of our process automation solutions. From quality inspections and palletizing to machine tending and material movements, our robotic systems boost efficiency and reliability. Autonomous mobile robots (AMRs) navigate and transport materials with precision, reducing the need for manual labor.
Edge Computing: Enabling Real-Time Data Processing
Edge computing is crucial for making the most of AI and machine learning. By processing and analyzing data on-site, edge devices provide real-time insights and early detection of issues. This leads to more responsive and adaptive manufacturing processes.
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Read the article by Control Design.
