Fire Detection Effect of Data Size Using on Deeplearning Techniques
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Abstract
Fires are considered one of the unfortunate phenomena that cause disasters in the environment, and it also represents a great threat to lives and human safety, especially when this fire is not detected by sensor-based fire detection systems. Therefore, equipping those places with cheap and effective sensors is very useful in fire detection speed. Image-based smoke and fire detection systems that use surveillance cameras have been designed, as vision-based fire detection systems benefit from three basic characteristics of fire: color, movement and shape (the shape of fire).
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M. Sc. Student Wijdan Yunes, & Prof. Dr. Khalil Ibrahem Alsaif. (2022). Fire Detection Effect of Data Size Using on Deeplearning Techniques. Eurasian Journal of Engineering and Technology, 6, 42–53. Retrieved from https://geniusjournals.org/index.php/ejet/article/view/1348
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