IoT Based Smart Home Automation System

Authors

  • Aakriti Tyagi  Computer Engineering, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Smita Deshmukh  Computer Engineering, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Gayatri Dindokar  Computer Engineering, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Shraddha Kale  Computer Engineering, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Mayur Karale  Computer Engineering, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Bhagyashree Dhakulkar  Computer Engineering, Savitribai Phule Pune University, Pune, Maharashtra, India

DOI:

https://doi.org/10.32628/CSEIT2063194

Keywords:

Android, Face Detection, Face Recognition, MCP3208 IC, Motor, Raspberry Pi, Relays, Sensor, ThingsBoard. board, RFID Sensor.

Abstract

As technology advances, it makes life easy and straightforward by solving many of the real-life problems which are faced by people in their daily life. Various types of technologies are used to improve the life of humans. Hence, this paper has used one of the technologies to ease the life of humans i.e. IoT. This paper represents IoT (Internet of Things) for the smart home automation system. There are many proposed systems which make the home easy to live in. But this paper tells about the newer advanced system. This paper tells the usage of motion detection technique to perform light on/off, MQ2 sensor for gas detection, machine learning for facial expression detection, motor for facade opening/closing, motor for room rotation and last the website “ThingsBoard” to collect the whole data at one place. The main goal of this paper is to provide full security with innovation at home.

References

  1. Anmol Uppal, Shweta Tyagi, Rishi Kumar, Seema Sharma, “Emotion Recognition and Drowsiness Detection Using Python”. 9thinternationalconference On Cloud computing, Data Science& Engineering (Confluence) 2019IEEE.
  2. Sadi Mahmud, Safayet Ahmed, Kawshik Shikder” A Smart Home Automation and Metering System Using Internet of Things (IoT)." 2019 International Conference on Robotics, Electrical, and Signal Processing Techniques (ICREST).
  3. Ritvik Iyer, Antara Sharma, “IoT Based Home Automation System with Pattern Recognition.” International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-2, July 2019.
  4. Mustamin Anggo and La Arapu. “Face Recognition Using Fisherface Method.” Journal of Physics: Conference Series, Volume 1028, 2nd International Conference on Statistics, Mathematics, Teaching, and Research 2017 9–10 October 2017, Makassar, Indonesia, 1 June 2018.
  5. Dr. Riham Nady, “Dynamic Facades Environmental Control Systems for Sustainable Design”. Volume 3 Issue 1, Special Issue, March 2017 - ISSN 2356-8569.
  6. Kalyani Pampattiwar, Mit Lakhani, Rinisha Marar, And Rhea Menon." Home Automation Using Raspberry Pi Controlled Via an Android Application" International Journal of Current Engineering and Technology, Vol.7, No.3 (June 2017).
  7. B. Pandya, M. Mehta, N. Jain, “Android Based Home Automation System Using Bluetooth & Voice Command”, International Research Journal of Engineering and Technology (IRJET), Vol. 03 Issue. 03,Pp.609-611, 2016.
  8. Satish Palaniappan, Naveen Hariharan, Naren T Kesh, Vidhyalakshimi S, And Angel Deborah. S, “Home Automation Systems - A Study”, International Journal Of Computer Applications (0975 – 8887), Vol.116, Issue.11, April 2015.
  9. D. Pavithra, R. Balakrishnan, “IoT Based Monitoring and Control System for Home Automation”, Global Conference on Communication Technologies (GCCT), Pp.169-173, 2015.
  10. Manish Kumar And Ramandeep Singh, “HOME Appliance Controlling Using ZIGBEE On ATMEGA128 Hardware Platform”, International Journal of Research in Engineering and Technology (IJRET), Vol. 03, Issue. 07, Pp. 469-472, Jul-2014.
  11. Ali M., V Laskamp J.H.A, Eddiny N.N., Falconer B., And Oram C., "Technical Development and Socioeconomic Implications of The Raspberry Pi as A Learning Tool in A Developing Countries” 5thcomputer Science and Electronic Engineering Conference (CEEC), Pp. 103-108,2013.
  12. Hsien-Tang Lin “Implementing Smart Homes with Open Source Solutions”, International Journal of Smart Home, Vol. 07, Issue. 4, Pp.289- 295, July 2013.
  13. Rajeev Piyare And Seong Ro Lee, “Smart Home-Control and Monitoring System Using Smart Phone”, ICCA, ASTL, Vol. 24, Pp.83-86 2013.
  14. Faisal Baig, Saira Beg, Muhammad Fahad Khan, “Controlling Home Appliances Remotely Through Voice Command”, International Journal of Computer Applications, Vol.48, Issue. 17, June 2012.
  15. Basil Hamed, “Design & Implementation of Smart House Control Using LabVIEW", International Journal of Soft Computing and Engineering (IJSCE), Vol.01, Issue. 06, Pp. 98-103, January 2012.
  16. R. Piyare, And Tazil, M, “Bluetooth Based Home Automation System Using Cell Phone”, IEEE 15thinternational Symposium on Consumer Electronics, 2011.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

Downloads

Published

2018-05-08

Issue

Volume 6, Issue 3, May-June-2020

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Aakriti Tyagi, Smita Deshmukh, Gayatri Dindokar, Shraddha Kale, Mayur Karale, Bhagyashree Dhakulkar, " IoT Based Smart Home Automation System" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 3, pp.811-822, May-June-2020. Available at doi : https://doi.org/10.32628/CSEIT2063194