In an interview with Daniel Sperlich, Strategic Product Manager for Controllers in the EMEA region, we will discuss the importance and development of AI in quality control within production automation.
Despite the ongoing AI revolution and widespread publications of artificial intelligence advancements, experts emphasise that AI implementation in manufacturing remains remarkably limited.
High initial costs, implementation complexity, and lengthy return on investment remain: these misconceptions remain the primary barriers to artificial intelligence adoption in manufacturing.
Mitsubishi Electric has launched its MELFA RH-10CRH and RH-20CRH SCARA robots, providing manufacturers with greater flexibility in adopting digital manufacturing while addressing skilled workforce shortages.
AI-powered visual inspection software revolutionising quality assurance across industries and configurable without programming knowledge. Yes, it exists. It's called MELSOFT VIXIO.
Mitsubishi Electric introduced the integration of Iconics and EcoAdviser platforms, a groundbreaking solution designed to revolutionize energy management with Artificial Intelligence capabilities. This combination is set to drive operational efficiency, sustainability, and significant cost savings for businesses across various sectors.
The applications of artificial intelligence (AI) in industrial environments are rapidly developing, presenting a number of opportunities to manufacturers. Not only can companies leverage machine learning to improve productivity and performance, they can also use it as a tool to enhance their experts’ know-how and support knowledge transfer across an enterprise. These last aspects, sometimes overlooked by companies, are among the most value-adding elements of AI, according to Christian Nomine, Strategic Product Manager for Visualization & Analytics EMEA at Mitsubishi Electric.