Low-Complexity High-Performance Deep Learning Model for Real-Time Low-Cost Embedded Fire Detection Systems

Author:

Jadon Arpit,Varshney Akshay,Ansari Mohammad Samar

Publisher

Elsevier BV

Subject

General Engineering

Reference40 articles.

1. Artim, N., 1999. An Introduction to Fire Detection, Alarm, and Automatic Fire Sprinklers. https://www.nedcc.org/free-resources/preservation-leaflets/3.-emergency-management/3.2- an-introduction-to-fire-detection, -alarm, -and-automatic-fire-sprinklers. [Last accessed on: 01 August 2019].

2. Fire detection in video sequences using a generic color model;Celik;Fire Safety Journal,2009

3. Çelik, T., Özkaramanh, H., Demirel, H., 2007. Fire and smoke detection without sensors: Image processing based approach, in: 2007 15thEuropean Signal Processing Conference, IEEE. pp. 1794-1798.

4. Chen, T.H., Wu, P.H., Chiou, Y.C., 2004. An early fire-detection method based on image processing, in: 2004 International Conference on Image Processing, 2004. ICIP’04" IEEE. pp. 1707-1710.

5. Chino, D.Y., Avalhais, L.P, Rodrigues, J.F., Traina, A.J., 2015. Bowfire: detection of fire in still images by integrating pixel color and texture analysis, in: 2015 28th SIBGRAPI Conference on Graphics, Patterns and Images, IEEE. pp. 95-102.

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