Fire Detection System Based on CNN |
Author(s): |
| Jinsha C J , IES COLLEGE OF ENGINEERING THRISSUR INDIA; Shejina N M, IES COLLEGE OF ENGINEERING THRISSUR INDIA |
Keywords: |
| Convolutional Neural Network, Fire Detection, Image Classification, Real-World Applications, Deep Learning, and CCTV Video Analysis |
Abstract |
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The embedded processing have enabled the vision based systems to detect fire during surveillance based on convolutional neural networks (CNNs).The proposed method for a cost-effective fire detection CNN architecture for surveillance videos. The model is inspired for GoogleNet architecture. The fire are features are extracting the super pixel method. Its computational complexity and suitability for the intended problem compared to other computationally networks. When balanced the efficiency and accuracy. The nature of the problems and fire data. The Experimental results helpful for fire datasets reveal the effectiveness of the proposed framework and its suitability for fire detection in CCTV surveillance systems compared to another fire detection methods. |
Other Details |
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Paper ID: IJSRDV7I40965 Published in: Volume : 7, Issue : 4 Publication Date: 01/07/2019 Page(s): 1178-1182 |
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