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
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
K. Gupta, N. Jiwani and N. Afreen, "Blood Pressure Detection Using CNN-LSTM Model," 2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT), 2022, pp. 262-366, doi: 10.1109/CSNT54456.2022.9787648.
N. Jiwani, K. Gupta and N. Afreen, "Automated Seizure Detection using Theta Band," 2022 International Conference on Emerging Smart Computing and Informatics (ESCI), 2022, pp. 1-4, doi: 10.1109/ESCI53509.2022.9758331.
Gupta, K., & Jiwani, N. (2021). A systematic Overview of Fundamentals and Methods of Business Intelligence. International Journal of Sustainable Development in Computing Science, 3(3), 31-46.
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
Singu, S. (2022). Web Based Automated Online Examination System. Transactions on Latest Trends in Artificial Intelligence, 3(3). Retrieved from https://www.ijsdcs.com/index.php/TLAI/article/view/91
N. Jiwani, K. Gupta and N. Afreen, "A Convolutional Neural Network Approach for Diabetic Retinopathy Classification," 2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT), 2022, pp. 357-361, doi: 10.1109/CSNT54456.2022.9787577.