Accelerating Industry 4.0 Using Computer Vision Algorithms and Analysis

Author:

Dhibar Kunal1,Maji Prasenjit1ORCID,Mondal Hemanta Kumar2ORCID,Mondal Swadhin Kumar3

Affiliation:

1. Bengal College of Engineering and Technology, Durgapur, India

2. National Institute of Technology, Durgapur, India

3. Dr. B.C. Roy Engineering College, Durgapur, India

Abstract

The objective of this chapter is to assist engineers and researchers in understanding the role of artificial intelligence (AI) and machine learning (ML) in the approaching Industry 4.0 revolution. And anytime we discuss this transformation, the major focus shifts to the concept of smart machines that can communicate with one another, and we end up referring to it as the internet of things. In reality, AI is the foundation of evolution. Two significant issues will be addressed in this paper. The first section will look at how AI, ML, and IoT may aid the industry, while the second will look at the issues and hurdles that this forthcoming technology will encounter. This is a research-based chapter in which the authors will provide information gathered from numerous sources regarding the various applications of this new technology and how people are adjusting to it. From its history to its benefits, drawbacks, and applications, there are several issues that we may encounter if the concept of this technology is not effectively presented.

Publisher

IGI Global

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3. AMFG AI. (2019). Industry 4.0: 7 Real-World Examples of Digital Manufacturing in Action. https://amfg.ai/2019/03/28/industry-4-0-7-real-world-examples-of-digital-manufacturing-in-action/

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5. Intelligent manufacturing in the context of industry 4.0: A case study of siemens industry

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