This paper is published in Volume-6, Issue-3, 2020
Area
Computer Science and Engineering
Author
Prasobh John
Co-authors
Nisha C. A.
Org/Univ
College of Engineering Kidangoor, Kidangoor, Kerala, India
Pub. Date
15 May, 2020
Paper ID
V6I3-1198
Publisher
Keywords
Flame detection, Vision-based systems, Deep CNN based classification

Citationsacebook

IEEE
Prasobh John, Nisha C. A.. Review on vision based fire flame detection, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Prasobh John, Nisha C. A. (2020). Review on vision based fire flame detection. International Journal of Advance Research, Ideas and Innovations in Technology, 6(3) www.IJARIIT.com.

MLA
Prasobh John, Nisha C. A.. "Review on vision based fire flame detection." International Journal of Advance Research, Ideas and Innovations in Technology 6.3 (2020). www.IJARIIT.com.

Abstract

The break-out of a fire should be determined rapidly in order to prevent material damage and human casualties. Traditional low-level feature-based methods have a high rate of false alarms and have low detection accuracy. To overcome these issues, deep learning models for fire detection at early stages during surveillance are used. Smaller convolutional kernels and fully connected layers of the deep learning models help to do classification effectively by reducing the computational requirements.
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