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Developing an Integrated Computer Vision Image Processing Technique to raise an Early Alarm for Fire Detection

Ariz Abbas Naqvi

Department of Liberal Arts, Aligarh Muslim University, Aligarh, India

14-19

Vol: 11, Issue: 4, 2021

Receiving Date: 2021-07-18 Acceptance Date:

2021-09-24

Publication Date:

2021-10-10

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http://doi.org/10.37648/ijrst.v11i04.002

Abstract

In Computer Vision and image classification task, convolutional neural networks (CNNs) have demonstrated high performance. Their use in fire detection systems will make detection much more accurate, reducing the number of fire disasters and their ecological and social effects. However, implementation in real-world surveillance networks of CNN-based fire detection systems poses the greatest risk due to their high inference memory and computational requirements. An original, energy-efficient, and computationally efficient design is presented in this paper.

Keywords: convolutional neural networks, fire detection; Computer Vision Image Processing Technique

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