Gray Solutions is leveraging artificial intelligence (AI) to enhance vision solutions and digital-twin models, focusing on systems with robust data-collection capabilities, Control Design reported. Digital twins are used for process optimization, experimentation and virtual testing, allowing for more efficient deployment and commissioning of equipment.
Greg Powers, the vice president, highlights the importance of a digital-twin platform's data ingestion, storage, processing, analysis capabilities, scalability and integration with existing systems. The use of AI in machine vision is enhancing quality inspections, enabling manufacturers to scale production, reduce waste, and improve quality control beyond traditional vision systems.
Generative AI, which utilizes large language models, is poised to transform industrial control by providing predictive recommendations and eventually controlling equipment. Powers emphasizes the need for clean, structured data to train these models effectively.
AI's potential in manufacturing includes rapid responses to line changes and data-driven equipment control.
Additionally, Gray Solutions develops robotic solutions for process automation and stresses the importance of edge computing for real-time data processing and AI integration. Edge devices enable early problem detection and direct data feeding into AI models, enhancing manufacturing efficiency.
To learn more about AI, its adoption and other helpful technologies, read the full article from Automation World’s partner publication, Control Design.
