Plant Control for Fully Automated AI-Driven Product Type Recognition

The development of industrial automation has led to a transformation in manufacturing, with the advent of advanced production and measurement technologies driven by digitalisation, information, and communication applications. The integration of artificial intelligence (AI) and machine learning (ML) into industrial applications represents a pivotal shift in the evolution of advanced control systems. This article examines the development and implementation of an AI-driven control system into an automated process, with a particular focus on optimizing raw material recovery through the classification of recycling items. The system developed is a prime example of the interlocking of mechanics, electronics and AI, paving the way for a new era in recycling technology. In addition, this work contributes to research in the field of industry automation and underlines the transformative power of AI in promoting a sustainable circular economy.