Fire Detection Effect of Data Size Using on Deeplearning Techniques

Authors

  • M. Sc. Student Wijdan Yunes Department of Computer Science College Of Computer and Mathematics University of Mosul – Mosul - Iraq
  • Prof. Dr. Khalil Ibrahem Alsaif Department of Computer Science College Of Computer and Mathematics University of Mosul – Mosul - Iraq

Keywords:

based, smoke, fire, lives

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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Published

2022-05-12

Issue

Section

Articles

How to Cite

Fire Detection Effect of Data Size Using on Deeplearning Techniques. (2022). Eurasian Journal of Engineering and Technology, 6, 42-53. https://geniusjournals.org/index.php/ejet/article/view/1348