Electrical device surveillance and control system powered by IOT
Abstract
IOT (Internet of Things) is taking the market on a new level and knocking on doors with new prospects for inventions with every improvement in Internet speed and capacity. This study discusses an IOT-based surveillance and control system for energy-efficient electrical devices. Lighting appliances use a lot of energy, so finding ways to enhance efficiency and speed up defect detection is a difficult task. Depending on the type of application, two distinct model techniques are used in this paper. IEEE 802.11 wireless technology is employed in limited spaces or tiny spaces when all the appliances are linked to a single Wi-Fi network. In the second form, which is modelled after a pole of a street lamp, the number of appliances increases only in one direction.
References
Jiwani, N., Gupta, K., & Whig, P. (2023). Analysis of the Potential Impact of Omicron Crises Using NLTK (Natural Language Toolkit). In Proceedings of Third Doctoral Symposium on Computational Intelligence (pp. 445-454). Springer, Singapore.
Reddy, Yeruva Ramana, Machine Learning Applications In Civil Engineering: An Empirical Study (February 2, 2022). International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 2, page no. pp e730-e733, February-2022, Available at SSRN: https://ssrn.com/abstract=4211925
Reddy, Yeruva Ramana, Reducing The Risks In Geotechnical Engineering Using Artificial Intelligence Techniques (June 6, 2022). International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.k334-k337, June-2022, Available at SSRN: https://ssrn.com/abstract=4211909
Gupta, K., Jiwani, N., & Whig, P. (2023). An Efficient Way of Identifying Alzheimer’s Disease Using Deep Learning Techniques. In Proceedings of Third Doctoral Symposium on Computational Intelligence (pp. 455-465). Springer, Singapore.
Singu, S. (2021). Novel HealthCare Framework for Cardiac Arrest. International Journal of Sustainable Devlopment in Field of IT, 13(13). Retrieved from https://journals.threws.com/index.php/IT/article/view/71
Singu, S. (2021). Business Intelligence on the Quality of Decision Making. International Journal of Statistical Computation and Simulation, 13(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/24
Singu, S. (2022). Analysis Of Mental Health During COVID-19 Pandemic. International Journal of Sustainable Development in Computing Science, 4(3), 41-50. Retrieved from https://www.ijsdcs.com/index.php/ijsdcs/article/view/101
N. Jiwani, K. Gupta and P. Whig, "Novel HealthCare Framework for Cardiac Arrest With the Application of AI Using ANN," 2021 5th International Conference on Information Systems and Computer Networks (ISCON), 2021, pp. 1-5, doi: 10.1109/ISCON52037.2021.9702493.
