Affiliation:
1. SASTRA University (Deemed), India
2. CYRYX College, Maldives
Abstract
Industry 4.0 reshapes the industrial landscape through new technologies such as robotics, data networking, machine learning (ML), and computer vision (CV). ML is a critical innovation in technology that enables enterprises and factory floors to embrace Industry 4.0. Systems and algorithms can learn from their failures using machine learning, a form of artificial intelligence (AI). A vision system becomes an essential component of sophisticated industrial systems for the quality control throughout the manufacturing process, and it allows robotic assembly to be provided with the necessary knowledge to create products from simple components. Predictive maintenance (PdM) is a form of digital transformation that services repairs as immediately as an issue emerges. The criterion above leads to a manufacturing environment that is intelligent and autonomous on recent breakthrough information and communication technologies. This chapter explores the challenges in Industry 4.0 with technologies such as cyber-physical systems (CPS), image processing, internet of things (IoT), computer vision, etc.
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1. Computer Vision and Its Intelligence in Industry 4.0;Advances in Computational Intelligence and Robotics;2024-05-03