A Novel Real Time Home Automation System with Google Assistance Technology
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This document presents a novel real-time home automation system utilizing Google Assistant technology, designed for operation via voice commands and equipped with various sensors. It aims to provide a cost-effective, user-friendly solution for controlling home appliances, particularly benefiting elderly and disabled individuals. The system incorporates smart devices, microcontrollers, and applications such as IFTTT and Blynk, ensuring energy efficiency and ease of use.
![Introduction
• Voice operated switching control system are the smarter version.
• It can safely be applied inside a house, or the smaller unit, i.e., room.
• In last few years, demand of the smarter home is progressed [1-2], and precisely for
elderly people [3], speech recognition technology embedded with operation of electrical
appliances.
• For speech recognition process, extensive uses of DSP processors are mentioned by
various workers [1], [4],
• Due to high cost of the system it is unaffordable to many of the consumers.
• Many non-measurable parameters are missing , which raise augmentation issues of the
system with mobile devices.
• Our device is a composite system which is easy to operate with lower manufacturing
cost, with portable control terminal [5].
04-08-2020 IoTWR Paper Id 28 3](https://image.slidesharecdn.com/28anovelreal-timehomeautomationsystemwithgoogle-200804050637/85/A-Novel-Real-Time-Home-Automation-System-with-Google-Assistance-Technology-3-320.jpg)
![Previous Work
• Power line system at infrared wavelength [6] design home automation system.
• Short Message Service technology is proposed [7] for the same purpose.
• Jawarkar et. al. [8] using appropriate programmed chip to sustain AT command.
• Voice recognition based system [9-10].
04-08-2020 IoTWR Paper Id 28 4](https://image.slidesharecdn.com/28anovelreal-timehomeautomationsystemwithgoogle-200804050637/85/A-Novel-Real-Time-Home-Automation-System-with-Google-Assistance-Technology-4-320.jpg)
A Novel Real Time Home Automation System with Google Assistance Technology
- 1. A Novel Real-Time Home Automation System with Google Assistance Technology Soumen Santra Techno International Newtown
- 2. Abstract • In this paper, smart mirror-based home automation system is designed. • Voice commands (Google Assistance) in association with sensors are utilized for controlled regulatory measures. • One channel is dedicated for motion sensing switching of the equipment and another dedicated for the light intensity-based switching of the equipment. • Turn-on and turn-off the lights as per voice request. • Search the web for voice query and read out the results about the weather. • It reduces the energy consumption by switching off the device when not needed. • Operated through smart mobiles, tablets, computers or Google home devices and self- created microcontroller-based docks based on trigger byte information to the authenticated server. 04-08-2020 IoTWR Paper Id 28 2
- 3. Introduction • Voice operated switching control system are the smarter version. • It can safely be applied inside a house, or the smaller unit, i.e., room. • In last few years, demand of the smarter home is progressed [1-2], and precisely for elderly people [3], speech recognition technology embedded with operation of electrical appliances. • For speech recognition process, extensive uses of DSP processors are mentioned by various workers [1], [4], • Due to high cost of the system it is unaffordable to many of the consumers. • Many non-measurable parameters are missing , which raise augmentation issues of the system with mobile devices. • Our device is a composite system which is easy to operate with lower manufacturing cost, with portable control terminal [5]. 04-08-2020 IoTWR Paper Id 28 3
- 4. Previous Work • Power line system at infrared wavelength [6] design home automation system. • Short Message Service technology is proposed [7] for the same purpose. • Jawarkar et. al. [8] using appropriate programmed chip to sustain AT command. • Voice recognition based system [9-10]. 04-08-2020 IoTWR Paper Id 28 4
- 5. Proposal • It deals with an inexpensive system, where it uses Google Assistant. • IFTTT server application, The Blynk application, and Google Cloud Console are used. • As hardware part, The NodeMCU 8266 micro-controller acts as the major communicator. • It receives and sends data to the designed application and server. • It uses a relay board of 4/8 channel, who’s regulatory voltage is 5 volt and has the capability for handling 10 Amp current through it. • Natural English language is used to give command to the Google Assistance and receive data on Blynk app. • Cost function and system portability for common user needs to be optimized. • Help elderly people, with easy system complexity for day-to-day use purpose. 04-08-2020 IoTWR Paper Id 28 5
- 6. Process Flow with Google Assistance Fig 1: Process Flow with Google Assistance, Google Cloud Console, IFTTT, MQTT 04-08-2020 IoTWR Paper Id 28 6
- 7. Flow-diagram Fig 2: Flow-diagram of Process Flow 04-08-2020 IoTWR Paper Id 28 7
- 8. Equipment Fig 3: (a) total circuit for operation, (b) webcam is used to take voice input Fig 4: (a) total circuit for operation, (b) webcam is used to take voice input04-08-2020 IoTWR Paper Id 28 8
- 9. Results Fig 5(a): Minute Average LDR Intensity graph from day ‘1’ data sheet readings. Fig 5(b): Minute Average LDR Intensity graph from day ‘n’ data sheet readings. 04-08-2020 IoTWR Paper Id 28 9
- 10. Results (Cont..) Fig 6. Live streaming results of the LDR Sensor. Fig 7: LDR Intensity reading per unit time 04-08-2020 IoTWR Paper Id 28 10
- 11. Conclusion • Cost-effective voice controlled (Google Assistant) home automation controlling general appliances. • Intelligence that can be integrated within their existing circuit. • This system is highly reliable and efficient for the aged people and differently able person on a wheelchair who cannot reach the switch for the switching ON/OFF the device and are dependent on others. • It is also applicable on the areas where user need appliance to work without reaching the switch board and for saving energy. • It can be implemented within the existing switch board by using a two-way switch. 04-08-2020 IoTWR Paper Id 28 11
- 12. References 1. B. D. Parameshachari, S. K. Gopy, G. Hurry, T. T. Gopaul, “A Study on Smart Home Control System through Speech”, International Journal of Computer Applications, vol. 69(19), pp. 30-39, 2013 2. S. Pal, A. Chauhan, S. K. Gupta, “Voice Controlled Smart Home Automation System”, International Journal of Recent Technology and Engineering, vol. 8(3), pp. 4092-4093, 2019 3. A. Rehman, R. Arif, H. Khursheed, “Voice Controlled Home Automation System for the Elderly or Disabled People”, Journal of Applied Environmental and Biological Sciences, vol. 4(8S), pp. 55-64, 2014 4. H. Chin, J. Kim, I. Kim, Y. Kwon, K. Lee, S. Yang, “Realization of Speech Recognition Using DSP (Digita1Signal Processor)”, IEEE International Symposium on Industrial Electronics Proceedings, pp.508-512, 2001 5. A. Mewada, A. Mishra, M. Gupta, R. Dash, N. Mulla, “Voice Controlled Home Automation”, International Journal of Advanced Research in Computer Science and Software Engineering, vol. 6(3), pp. 161-164, 2016 6. T. V. Nguyen, D. G. Lee, Y. H. Seol, M. H. Yu, D. Choi, “Ubiquitous Access to Home Appliance Control System using Infrared Ray and Power Line Communication”, 3rd IEEE/IFIP International Conference in Central Asia, Tashkent, Uzbekistan, vol 1, pp 1-4, 2007 7. M. S. H. Khiyal, A. Khan, E. Shehzadi “SMS Based Wireless Home Appliance Control System (HACS) for Automating Appliances and Security”, Issue in Information Science and Information Technology, vol. 6, pp. 887-894, 2009 8. N. P. Jawarkar, V. Ahmed, R. D. Thakare. “Remote Control using Mobile through Spoken Commands”, IEEE International Consortium of Stem Cell Networks, pp.622-625, 2007 9. P. V. Mhadse, A. C. Wani “Speaker Identification based Automation System through Speech Recognition”, International Journal of Emerging Technology and Advanced Engineering, vol. 3(1), pp. 557-563, 2013 10. S. R. Suralkar, A. C. Wani, P. V. Mhadse, “Speech Recognized Automation System using Speaker Identification through Wireless Comunication”, IOSR Journal of Electronics and Communication Engineering, vol. 6(1), pp. 11-18. 04-08-2020 IoTWR Paper Id 28 12
- 13. THANK YOU ANY QUESTION PLEASE 04-08-2020 IoTWR Paper Id 28 13