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Low-Cost Appliance Control System for Home Automation and Energy Management Using Image Processing

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Artificial Intelligence and Evolutionary Computations in Engineering Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 394))

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.

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Author information

Authors and Affiliations

  1. Department of ECE, VTU Belgaum, India

    Nagaraj Shet, P. V. Rao & Abdullah Gubbi

  2. Department I&CE, MIT Manipal, India

    C. Shreesha

Authors
  1. Nagaraj Shet
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  2. C. Shreesha
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  3. P. V. Rao
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  4. Abdullah Gubbi
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Corresponding author

Correspondence to Nagaraj Shet .

Editor information

Editors and Affiliations

  1. Electrical and Electronics Engineer, SRM Engineering College, Kattankulathur, Tamil Nadu, India

    Subhransu Sekhar Dash

  2. Electrical & Electronics Engineering, Velammal Engineering College, Chennai, Tamil Nadu, India

    M. Arun Bhaskar

  3. Dept Electrical & Electronics Engg, IIT Delhi, New Delhi, India

    Bijaya Ketan Panigrahi

  4. Indian Statistical Institute, Kolkata, India

    Swagatam Das

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Shet, N., Shreesha, C., Rao, P.V., Gubbi, A. (2016). Low-Cost Appliance Control System for Home Automation and Energy Management Using Image Processing. In: Dash, S., Bhaskar, M., Panigrahi, B., Das, S. (eds) Artificial Intelligence and Evolutionary Computations in Engineering Systems. Advances in Intelligent Systems and Computing, vol 394. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2656-7_12

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  • DOI: https://doi.org/10.1007/978-81-322-2656-7_12

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2654-3

  • Online ISBN: 978-81-322-2656-7

  • eBook Packages: EngineeringEngineering (R0)

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