Abstract
Industrial manufacturing involves large calibrations of data and process. Security, optimal response time, and control are major constraints while describing a process in industry. Various technologies were in research to enhance the functional capabilities for better responses. IoRT is one such promising technology to provide a better solution in most advanced way. The architectural design of communication through IoT is one of the open challenges facing, and there is a futuristic viability in achieving a solution for such issues. This paper depicts an approach, implementation of a conveyor model of a simple assembly line to separate metal from nonmetal using a Python-controlled 2-axis robotic arm. The entire process can be monitored using a Web server, designed for real-time process application.
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Teja, G.N.L.R., Sukumar, S., Kompella, S., Sudha, R., Pallavi, G. (2018). Real-Time System Monitoring and Control of Automation Industry Using IoT-Based Cloud Platform. In: Singh, R., Choudhury, S., Gehlot, A. (eds) Intelligent Communication, Control and Devices. Advances in Intelligent Systems and Computing, vol 624. Springer, Singapore. https://doi.org/10.1007/978-981-10-5903-2_114
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DOI: https://doi.org/10.1007/978-981-10-5903-2_114
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