Voice Controlled Home Automation System Design

Main Article Content

Thangavel Bhuvaneswari
Venugopal Chitra
Goh Chee Cheng

Abstract

The primary objective of this home automation study is to facilitate the implementation of a voice-controlled capabilities, primarily designed to assist individuals with disabilities or seniors. The system presented in this research enables wireless control of various household devices, such as lights, fans, and any electrical appliances through a dedicated mobile application. This voice-controlled home automation system leverages an android smartphone and a microcontroller using an android application to manage household appliances. The system can be accessed by user name and password. This system is designed with three main control interfaces such as Bluetooth connectivity, voice recognition, and manual control switching. The google cloud speech API which can convert spoken words into text is utilized for voice recognition. This generated text is then transmitted to the designated slave device, facilitating home automation through Bluetooth communication. Additionally, the system provides a manual control switch for user convenience. To control high-voltage appliances safely, an enhanced microcontroller is employed, incorporating a relay circuit for ON/OFF functionality. The developed prototype, encompassing both hardware and software components, has undergone comprehensive testing, validating its security features and compatibility with various home appliances. This innovative home automation system not only offers enhanced convenience but also prioritizes security, providing an attractive alternative to commercial solutions.


 


Manuscript received: 20 May 2023 | Revised: 20 August 2023 | Accepted: 1 September 2023 | Published: 30 September 2023

Article Details

How to Cite
Bhuvaneswari, T. ., Venugopal, C., & Goh, C. C. (2023). Voice Controlled Home Automation System Design. International Journal on Robotics, Automation and Sciences, 5(2), 94–100. https://doi.org/10.33093/ijoras.2023.5.2.12
Section
Articles
Author Biography

Venugopal Chitra, Department of Renewable Energy, Oregon Institute of Technology (United States)

Dr. Chitra Venugopal’s academic and professional background combines science and engineering (BEng in Electronics, Communication and MEng in Power Electronics and Drives from Bharathidasan University and Ph.D. in Electrical Engineering from Sastra University). Her professional experience includes researcher in power system and power electronics field and published many research articles. Dr. Chitra is a senior member of the IEEE, a member of Eta Kappa Nu (the international honor society for electrical engineers). She joined the Electrical Engineering and Renewable Energy (EERE) department at Oregon Tech in 2018 where is now a tenure track Assistant Professor. Dr. Chitra currently serves as the program director of the BS Renewable Energy Engineering Program, Portland – Metro Campus. Her areas of teaching include power system, power electronics, electric power conversion and grid integration. Her current research focuses on smart grid integration of renewable energies, demand response and grid oscillations, power converters for nano and micro power applications, smart drives including PLCs, intelligent converters for EVs.

References

B. Bhaskar, R. Swarnalatha, "Smart Home Automation System Using AVR Microcontroller," International Journal of Advanced Technology in Engineering and Science, vol. 3, no. 2, pp. 234–242, 2015.

URL: https://www.ijates.com/images/short_pdf/1425042484_P234-242.pdf (Accepted 19 Aug, 2023)

S. Kumar, "UBIQUITOUS Smart Home System using Android Application," International Journal of Computer Networks & Communications (IJCNC), vol. 6, no. 1, pp. 33–43, 2014.

DOI: https://doi.org/10.5121/ijcnc.2014.6103

K. Rakesh, S. Dutta, K. Shama, "Gender Recognition Using Speech Processing Techniques in LabView," International Journal of Advances in Engineering & Technology, vol. 1, no. 2, pp. 51–63, 2011.

URL: https://files.gamepub.sk/CSR/6GENDER-RECOGNITION-USING-SPEECH-PROCESSING-TECHNIQUES-IN-LABVIEW-Copyright-IJAET.pdf (Accepted 19 Aug, 2023)

M. Ayub, M.A. Saleem, "A Speech Recognition-Based Approach for Development in C++," IJCSI International Journal of Computer Science Issues, vol. 10, no. 5, issue 1, pp. 52–56, 2013.

URL: http://paper.ijcsns.org/07_book/201210/20121016.pdf (Accepted 19 Aug, 2023)

S.B. Arul, "Wireless Home Automation System Using Zigbee," International Journal of Scientific & Engineering Research, vol. 5, no. 12, pp. 133–138, 2014.

URL: https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=b1708ce5ef3303e24b11d7360284aa98b5aa8b18 (Accessed:17 Aug, 2023)

K.A.H. Ahmed, "Design and Implementation of Wi-Fi Based Home Automation System," World Academy of Computer, Electrical, Automation, Control and Information Engineering, vol. 6, no. 8, pp. 2177–2183, 2012.

DOI: https://www.ijarse.com/images/fullpdf/1524193618_205.pdf

S. Sumaiya, A. Khoteza, H.A.A. Munrasir, "Home Automation through Voice Command and GSM Technology," BRAC University, 2014, URL: https://dspace.bracu.ac.bd/xmlui/handle/10361/3998 (accessed: 12 Aug 2023).

V. Osamor, O. Emebo, B. Fori, M. Adewale, "Engineering and Deploying a Cheap Recognition Security System on a Raspberry Pi Platform for a Rural Settlement," International Journal of Advance Trends in Computer Science and Engineering, vol. 8, no. 6, 2019.

DOI: https://doi.org/10.30534/ijatcse/2019/36862019

O.K.A. Olatunji, A. Oguntimilehin, O.A. Adeyemo, "A Mobile Phone Controllable Smart Irrigation System," International Journal of Advanced Trends in Computer Science and Engineering, vol. 9, no. 1, 2020.

DOI: https://doi.org/10.30534/ijatcse/2020/42912020

K.J. Jadaa, L.M. Kamarudin, R.B. Ahmad, W.N. Hussein, "Multi Objects Detection and Tracking System for Smart Home using Wireless Sensor Network," International Journal of Advanced Trends in Computer Science and Engineering, vol. 8, no. 5, 2019.

DOI: https://doi.org/10.30534/ijatcse%2F2019%2F86852019

Google, Google Cloud Speech-to-Text, 2021, 2021,

URL: https://cloud.google.com/speech/?utm_source=google&utm_medium=cpc&utm_campaign=2015-q2-cloud-na-solutions-bkws-freetrial-n&gclid=CLH858K9hMwCFUYXaAodxR0GqA (Accessed:10 Aug, 2023)

App Inventor Concept Cards, MIT App Inventor, URL: https://appinventor.mit.edu/explore/sites/all/files/ConceptCards/ai2/AppInventorMakerCards.pdf, (Accessed:1 September 2023)

Voice Recognition in Virtual Worlds, HIT Lab, University of Washington.

URL: http://www.hitl.washington.edu/projects/knowledge_base/virtual-worlds/EVE/I.D.2.d.VoiceRecognition.html (Accessed:10 Aug, 2023)

H. Younes, A.M. Ahmad, Z. Noun, M. Rizk and Z. El-Bazzal, "Gender and Identity Recognition Using LabView," 2018 International Conference on Computer and Applications (ICCA), pp. 1-157, 2018.

DOI: https://doi.org/10.1109/COMAPP.2018.8460405

Tasker Automation App.

URL: https://tasker.joaoapps.com/ (Accessed:10 Au, 2023)

M. Akour, K. Al Radaideh, A. Shadaideh, O. Okour, "Mobile Voice Recognition Based for Smart Home Automation Control," International Journal of Advanced Trends in Computer Science and Engineering, vol. 9, no. 3, pp. 3788–3792, 2020.

DOI: https://doi.org/10.30534/ijatcse%2F2020%2F196932020

N.A.B.A. Hamzah, M.R.B.A. Saad, W.Z.B.W. Ismail, T. Bhuvaneswari, N.Z.B.A. Rahman, "Development of A Prototype of An IoT Based Smart Home with Security System Flutter Mobile," Journal of Engineering Technology and Applied Physics, vol. 1, no. 2, pp. 34–41, 2019.

DOI: https://doi.org/10.33093/jetap.2019.1.2.7

T. Bhuvaneswari, J. Hossen, C. Venkataseshiah, L.W. Xiong, "Wireless Sensor Network (WSN) Based Smart and Safe Home," Journal of Engineering and Applied Sciences, vol. 12, no. 1, pp. 127–132, 2017.

URL:https://www.researchgate.net/publication/316635850_Wireless_Sensor_Network_WSN_based_smart_and_safe_home

(Accessed: 10 Aug, 2023)