This review explores the application of machine vision in Industry 4.0 and its potential in Industry 5.0. The study uses the PRISMA methodology to conduct a scoping review of literature from Scopus and Google Scholar, revealing that machine vision has significantly influenced various sectors, including manufacturing, automotive, agriculture, and healthcare. It is used for quality control, monitoring, defect detection, and object recognition, with a strong emphasis on improving product quality and reducing human error. The research highlights the role of machine vision in enhancing productivity and efficiency in Industry 4.0, and its potential to further contribute to Industry 5.0 by integrating with human-centric technologies. The findings indicate that machine vision is a critical component in both industrial revolutions, with a growing number of applications in Industry 5.0, particularly in areas such as healthcare, agriculture, and smart manufacturing. The study also notes the challenges and limitations in the current state of research, including the limited number of studies on Industry 5.0 and the need for more comprehensive investigations. Overall, the review underscores the importance of machine vision in shaping the future of industrial production and its potential to drive innovation and efficiency in both Industry 4.0 and Industry 5.0.This review explores the application of machine vision in Industry 4.0 and its potential in Industry 5.0. The study uses the PRISMA methodology to conduct a scoping review of literature from Scopus and Google Scholar, revealing that machine vision has significantly influenced various sectors, including manufacturing, automotive, agriculture, and healthcare. It is used for quality control, monitoring, defect detection, and object recognition, with a strong emphasis on improving product quality and reducing human error. The research highlights the role of machine vision in enhancing productivity and efficiency in Industry 4.0, and its potential to further contribute to Industry 5.0 by integrating with human-centric technologies. The findings indicate that machine vision is a critical component in both industrial revolutions, with a growing number of applications in Industry 5.0, particularly in areas such as healthcare, agriculture, and smart manufacturing. The study also notes the challenges and limitations in the current state of research, including the limited number of studies on Industry 5.0 and the need for more comprehensive investigations. Overall, the review underscores the importance of machine vision in shaping the future of industrial production and its potential to drive innovation and efficiency in both Industry 4.0 and Industry 5.0.