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Industrial Automation Using Mobile Cyber Physical Systems
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Author(s): Thangavel M. (VIT Bhopal University, India), Abhijith V. S. (Thiagarajar College of Engineering, India) and Sudersan S. (Thiagarajar College of Engineering, India)
Copyright: 2022
Pages: 28
Source title:
Deep Learning Applications for Cyber-Physical Systems
Source Author(s)/Editor(s): Monica R. Mundada (M.S. Ramaiah Institute of Technology, India), S. Seema (M.S. Ramaiah Institute of Technology, India), Srinivasa K.G. (National Institute of Technical Teachers Training and Research, Chandigarh, India) and M. Shilpa (M.S. Ramaiah Institute of Technology, India)
DOI: 10.4018/978-1-7998-8161-2.ch008
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Abstract
In recent years, the rise in the demand for quality products and services along with systems that could integrate the control mechanisms with high computational capabilities led to the evolution of cyber-physical systems (CPS). Due to the ongoing COVID-19 pandemic, several industries have remained closed, causing several monetary losses. Automation can help in such scenarios to keep the industries up and running in a way that the system could be monitored and controlled remotely using voice. The chapter deals with the integration of both industrial automation and cyber-physical systems in various industries like the automobile industry, manufacturing industries, construction industries, and so on. A proposed approach for machine handling using CPS, deep learning, and industrial automation with the help of voice. The proposed approach provides greater insights into the application of CPS in the area and the combination of CPS and deep learning to a greater extent.
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