Machine Vision—Moving from Industry 4.0 to Industry 5.0

Abstract

The Fourth Industrial Revolution combined with the advent of artificial intelligence brought significant changes to humans’ daily lives. Extended research in the field has aided in both documenting and presenting these changes, giving a more general picture of this new era. This work reviews the application field of the scientific research literature on the presence of machine vision in the Fourth Industrial Revolution and the changes it brought to each sector to which it contributed, determining the exact extent of its influence. Accordingly, an attempt is made to present an overview of its use in the Fifth Industrial Revolution to identify and present the changes between the two consequent periods. This work uses the PRISMA methodology and follows the form of a Scoping Review using sources from Scopus and Google Scholar. Most publications reveal the emergence of machine vision in almost every field of human life with significant influence and performance results. Undoubtedly, this review highlights the great influence and offer of machine vision in many sectors, establishing its use and searching for more ways to use it. It is also proven that machine vision systems can help industries to gain competitive advantage in terms of better product quality, higher customer satisfaction, and improved productivity.

Research Progress on the Manufacturing of Screw-Shaped Parts in Screw Compressors

“…( The high temperature of the molten metal in the forming process will shorten the die life; (4) The element made in this method is only a workpiece that further requires roughing and finishing.…”

“…In 2013, a strategic policy of "Industry 4.0" was published in Germany to achieve the new industrial revolution [1][2][3]. "A National Strategic Plan for Advanced Manufacturing" was proposed in the US, targeted towards enhancing the merits of its modern manufacturing industry with intensified technology [4,5]. The "New Robot Strategy" was published in Japan to enhance the international competitiveness of the manufacturing industry [2,6].…”

Development an Artificial Vision for a Parallel Manipulator Using M2M Technologies

“…Over the past decades, elements of artificial intelligence, using techniques such as machine learning, deep learning, cognitive computing, etc. have made significant progress in creating a variety of applications and robotic systems that can perceive, analyze, and process incoming information, including decision-making autonomously without human intervention in various fields of activity such as logistics, transport, surveillance systems, automated complexes, health care and science [1].…”

Development of an Artificial Vision for a Parallel Manipulator Using Machine-to-Machine Technologies

“…Presently, the widespread adoption of artificial intelligence (AI) with various robotic systems to mimic human intelligence has triggered tremendous changes in today’s technological environment and human activities as a whole. Over the past decades, elements of artificial intelligence, using techniques such as machine learning, deep learning, cognitive computing, etc., have made significant progress in creating a variety of applications and robotic systems that can perceive, analyze, and process incoming information, including making decisions autonomously without human intervention, in various fields such as logistics, transport, surveillance systems, automated complexes, health care, and science [ 1 ].…”