Low-cost appliance control system for home automation and energy management using image processing

Nagaraj Shet, C. Shreesha, P. V. Rao, Abdullah Gubbi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In the stressful life, enhancing the quality of life at home is the need of the hour. Smart home automation is being incorporated with an intelligent system. Existing systems are creating major challenges in terms of cost and energy management. In a home network environment, keeping the sensors and devices always on consumes more electrical power and increases the cost paid for consumption of power. In the proposed work, energy management has been carried out with an intelligent algorithm. Image processing has a very big potential to do virtually anything. The challenges of cost have been overcome using image processing. Algorithm is developed for image processing-based appliance control system. The method proposed in this paper reduces the cost of sensors used in home automation. With image processing-based home automation there is less energy consumption, reduction in umber of sensors, and also optimized maintenance cost of home automation networks.

Original languageEnglish
Title of host publicationArtificial Intelligence and Evolutionary Computations in Engineering Systems - Proceedings of ICAIECES 2015
PublisherSpringer Verlag
Pages125-134
Number of pages10
Volume394
ISBN (Print)9788132226543
DOIs
Publication statusPublished - 01-01-2016
EventInternational Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, ICAIECES 2015 - Chennai, India
Duration: 22-04-201523-04-2015

Publication series

NameAdvances in Intelligent Systems and Computing
Volume394
ISSN (Print)2194-5357

Conference

ConferenceInternational Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, ICAIECES 2015
CountryIndia
CityChennai
Period22-04-1523-04-15

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

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