IoT based home automation with energy management
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.3.45Keywords:
Home automation, IoT, Raspberry-Pi-3, Embedded systems, Wi-Fi.Dimensions Badge
Issue
Section
License
Copyright (c) 2023 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Automation of home appliances has become the prime utility of embedded systems. This automation method is inclusive of a sensor-based automated system that requires no human/conventional interventions. This paper proposes the usage of voice commands to have control over the entire appliances, which is easy to handle by old age/disabled people. The major aspect of this paper is to introduce a new system for disabled and normal people. This method involves a Raspberry-Pi-3 control board, which has a WiFi module termed Raspberry-Pi-3. For sending the voice instruction to the Raspberry-Pi-3 a mobile application is used. The function of the application is to record the voice and convert the voice note into a command for Raspberry-Pi-3. This process is facilitated by WiFi communication. This system also uses IoT for measuring the power consumed by the active appliance over the current sensor and the Webserver can preview the power consumption.Abstract
How to Cite
Downloads
Similar Articles
- M. Kohila, S. Rethinavalli, A P2ECAM: A Trust-Preserving Cross-Cloud Data Migration Model For Resource-Constrained Mobile Devices Using Certificate-Free Elliptic Curve Cryptography , The Scientific Temper: Vol. 17 No. 02 (2026): The Scientific Temper
- R. Sridevi, V. S. J. Prakash, Load aware active low energy adaptive clustering hierarchy for IoT-WSN , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Manan Pathak, Dishang Trivedi Trivedi, Field-effect limits and design parameters for hybrid HVDC – HVAC transmission line corridors , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- P. Rajkumar, B. Vijay Bhaskar, Assessing the impact of indoor air pollution on respiratory health: A survey of home residents in rural area , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- D. Jayaprasanth, J. Arul Melissa, Extended Kalman filter-based prognostic of actuator degradation in two tank system , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Lakshmi Priya, Anil Vasoya, C. Boopathi, Muthukumar Marappan, Evaluating dynamics, security, and performance metrics for smart manufacturing , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- A. Sandanasamy, P. Joseph Charles, Distributed SDN control for IoT networks: A federated meta reinforcement learning solution for load balancing , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
- Swetha Rajkumar, Subasree Palanisamy, Online detection and diagnosis of sensor faults for a non-linear system , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- C. Mohan Raj, M. Sundaram , M. Anand, Automation of industrial machinerie , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Neeraj, Anita Singhrova, A critical review of blockchain-based authentication techniques , The Scientific Temper: Vol. 16 No. 04 (2025): The Scientific Temper
<< < 1 2 3 4 5 6 7 8 9 10 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- S. Udhaya Priya, M. Parveen, ETPPDMRL: A novel approach for prescriptive analytics of customer reviews via enhanced text parsing and reinforcement learning , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper

