Assistive Tools for Machine Communication for Preventing Children and Disabled Persons from Electric Hazard Using Cyber Physical System

Authors

  • S. Hemalatha Professor/CSE, Panimalar Engineering College, Chennai, Tamil Nadu, India
  • T. Tamilselvi PhD, Associate Professor/CSE, Panimalar Engineering Colege, Chennai, Tamil Nadu, India
  • R. Saravana Kumar Associate Professor /CSE, Dayananda Sagar Academy of Technology and Management, Bangalaore, India
  • A. G. Noorul Julaiha M. E Assistant Professor/CSE, Rajalakshmi Institute of Technology
  • M. Thangamani Associate Professor/ Information Technology, Kongu Engineering College, Perundurai, Erode, Tamil Nadu, India
  • S. Lakshmi Associate Professor/ Department of Electronic and Instrumentation Engineering, Panimalar engineering College, Chennai, Tamil Nadu, India
  • Kamal Gulati Associate Professor, Amity University, Noida, Uttar Pradesh, India https://orcid.org/0000-0002-1186-1426

Keywords:

Cyber Physical System (CPS), Wireless Network, Machine-to-Machine (M2M), Home Automation System, Machine Learning, Electric Hazard

Abstract

The determination of this research is to conduct a survey on how current technical electrical equipment are replacing human daily housework. Different electrical gadgets are installed in each home, depending on the necessities. At the same time, the number of people who are exposed to electric hazards is growing. According to a report, children and disabled people are the main sources of electric danger pointing devices. It cautions due to a lack of information regarding electric equipment. As a result, monitoring systems must be developed in order to prevent electric hazards for children and handicapped people. Machine learning techniques are used to learn about and control machine activity. Communication between heterogeneous systems is provided by a cyber-physical system.  These two technologies are combined in the proposed effort to create a gadget that can manage electric hazards for children and the disabled. Motion sensors are used in the proposed work to continually monitor the object's movement. If an object comes close to an electric machine, such as a washing machine, refrigerator, or ironing board, the circuit will automatically cut off unless the object moves away from the electric equipment. In addition, the gadget may create a sound signal to warn youngsters about the dangers of electronic devices and disable them. The suggested work, in addition to machine learning and cyber physical systems, makes use of the Internet of Things to link the status of devices and objects to the responsible personnel, all of whom are in an inaccessible place. The Internet of Things may help with communication, control, and data processing integration across several systems. The Internet of Things allows things to be sensed and controlled remotely. The Internet of Things (IoT) Wireless House Automation System (WHAS) is a system that combines computers and GPRS to automate basic house functions and features. An automated house is frequently referred to as a smart home since it uses GPRS to connect to the internet from anywhere in the globe. A cloud-based home automation system with IoT that uses the Wireless Sensors which is used to connect the controller and the user section. Children and handicapped people will have a safer existence as a result of the use of technological equipment

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References

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Components of CPS

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Published

10.02.2023

How to Cite

Hemalatha, S. ., Tamilselvi, T. ., Kumar, R. S. ., Julaiha M. E, A. G. N. ., Thangamani, M. ., Lakshmi , S. ., & Gulati, K. . (2023). Assistive Tools for Machine Communication for Preventing Children and Disabled Persons from Electric Hazard Using Cyber Physical System. International Journal of Intelligent Systems and Applications in Engineering, 11(3s), 155–160. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2554

Issue

Vol. 11 No. 3s (2023)

Section

Research Article

License

Copyright (c) 2023 S. Hemalatha, T. Tamilselvi, R. Saravana Kumar, A. G. Noorul Julaiha M. E, M. Thangamani, S. Lakshmi , Kamal Gulati

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