Innovating Fire Detection System Fire using Artificial Intelligence by Image Processing
Salim Said AL-Ghadani1, C. Jayakumari2
1Salim Said AL-Ghadani, MSc IT Student East College, Muscat, Sultanate of Oman.
2Dr. C. Jayakumari, Faculty, Dept. of Computing, Middle East College, Muscat, Sultanate of Oman.
Manuscript received on August 10, 2020. | Revised Manuscript received on August 22, 2020. | Manuscript published on September 10, 2020. | PP: 349-356 | Volume-9 Issue-11, September 2020 | Retrieval Number: 100.1/ijitee.K78360991120 | DOI: 10.35940/ijitee.K7836.0991120
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: With fires spreading increasingly around the world due to increasing global warming, it has become imperative to develop an intelligent system that detects fires early, using modern technology. Therefore, we used one of the artificial intelligence techniques, which is deep learning, which is one of the popular methods now. Professionals have done a lot of research, experiments, and coding software to detect fires using deep learning. Through this paper, we review current methods that are reached by industry professionals, as well as data sets and fire detection accuracy for each method.
Keywords: Fire, Artificial intelligence, Deep learning, Kagle, CNN, Image Processing, Kiras, Quality, Tensorflow, Sensitivity, Machine Learning.