Fire Detection Effect of Data Size Using on Deeplearning Techniques

Main Article Content

M. Sc. Student Wijdan Yunes
Prof. Dr. Khalil Ibrahem Alsaif

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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How to Cite
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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Articles