The article "Machine Vision—Moving from Industry 4.0 to Industry 5.0" by Maria Tzampazaki, Charalampos Zografos, Eleni Vrochidou, and George A. Papakostas explores the role of machine vision in the Fourth and Fifth Industrial Revolutions. The authors review the literature to determine the extent and impact of machine vision in various sectors, highlighting its significant influence on quality control, monitoring, detection, and recognition tasks. They use the PRISMA methodology and a scoping review approach to analyze sources from Scopus and Google Scholar, identifying 331 documents related to machine vision in Industry 4.0 and 7 in Industry 5.0. The findings reveal that machine vision is widely used in industries such as manufacturing, automotive, agriculture, and healthcare, with quality control being the most common application. In Industry 5.0, the focus is on cooperative robots and enhanced human-machine interaction, though the literature on this topic is still limited. The authors conclude that machine vision continues to play a crucial role in both industrial revolutions, contributing to improved efficiency, precision, and productivity.The article "Machine Vision—Moving from Industry 4.0 to Industry 5.0" by Maria Tzampazaki, Charalampos Zografos, Eleni Vrochidou, and George A. Papakostas explores the role of machine vision in the Fourth and Fifth Industrial Revolutions. The authors review the literature to determine the extent and impact of machine vision in various sectors, highlighting its significant influence on quality control, monitoring, detection, and recognition tasks. They use the PRISMA methodology and a scoping review approach to analyze sources from Scopus and Google Scholar, identifying 331 documents related to machine vision in Industry 4.0 and 7 in Industry 5.0. The findings reveal that machine vision is widely used in industries such as manufacturing, automotive, agriculture, and healthcare, with quality control being the most common application. In Industry 5.0, the focus is on cooperative robots and enhanced human-machine interaction, though the literature on this topic is still limited. The authors conclude that machine vision continues to play a crucial role in both industrial revolutions, contributing to improved efficiency, precision, and productivity.