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Analysis on Smoke Detection Techniques

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Smart Intelligent Computing and Applications

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 159))

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Abstract

This paper demonstrates the overview on recognition of smoke using different techniques to provide optimum results. Smoke itself is a challenging object to be detected because of variation in its density, lightning conditions, and multiple backgrounds. After consideration of all the factors, different techniques are applied to accurately detect smoke region in a given frame. Some of its properties which are generally used for its detection are convexity, energy, color, and motion. Smoke detection is significantly utilized in the various applications to prevent any harm. This article presents a relative study between different papers to show their performance rate.

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Author information

Authors and Affiliations

  1. School of Electronics and Electrical, Lovely Professional University, Phagwara, Punjab, India

    Gurgeet Singh Bhogal & Anil Kumar Rawat

Authors
  1. Gurgeet Singh Bhogal
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  2. Anil Kumar Rawat
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Corresponding author

Correspondence to Gurgeet Singh Bhogal .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  2. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. School of Computer Applications, KIIT University, Bhubaneswar, Odisha, India

    J. R. Mohanty

  4. School of Computer and Information Science, University of Hyderabad, Hyderabad, Telangana, India

    Siba K. Udgata

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Bhogal, G.S., Rawat, A.K. (2020). Analysis on Smoke Detection Techniques. In: Satapathy, S., Bhateja, V., Mohanty, J., Udgata, S. (eds) Smart Intelligent Computing and Applications . Smart Innovation, Systems and Technologies, vol 159. Springer, Singapore. https://doi.org/10.1007/978-981-13-9282-5_16

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