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As a post-Covid-19 pandemic, many things came up with new requirements because of frequent lockdowns and social distancing constraints. Hence, many pharmaceutical industries and manufacturing units are looking for automated solutions. In the era of Industry 5.0, non-conventional machining processes are on the verge of Industry 6.0 with inclusion of artificial intelligence, deep learning and automated processes for additive or subtractive machining requirements. Non-conventional machining is in practice worldwide; however, it is required to support these kinds of manufacturing processes with remote automation, monitoring and auto-fault clearance methods. Pharmaceutical, chemical and hazardous plant handling is one of the major problems in industries throughout the world. Hence, this paper presents the automated continuous monitoring system using artificial intelligence, which can be a human machine interfacing module with a strategy to clear leakage fault automatically. This paper also discusses the various implications in conventional and non-conventional machining processes and also suggests the next generation hybrid machining system as a future scope of the research. [ABSTRACT FROM AUTHOR]

Today, the world is growing in the direction of robotics, automation and automated automation theme. As a traditional automation, Computer Numerical Control (CNC) machining is the most prominent and accurate option for production division. However, Covid- 19 pandemic and frequent lockdowns proved that, at a certain level, unmanned manufacturing is required to avoid an economic crisis. Industries like pharmaceutical manufacturing are important and cannot stop the production in the situations like pandemic. Hence, this paper presents the artificial intelligence algorithm which can communicate with the CNC G-code and M-code to provide geometrical and/or machine processing instructions. [ABSTRACT FROM AUTHOR]