Artificial Intelligence Approach For Fire Monitoring and Warning System Design

Authors

  • Branden Adems Anak Kiethson Faculty of Manufacturing and Mechatronics Engineering Technology, Universiti Malaysia Pahang, 26600 Pahang, Malaysia.
  • Ismail Mohd Khairuddin Faculty of Manufacturing and Mechatronics Engineering Technology, Universiti Malaysia Pahang, 26600 Pahang, Malaysia.
  • Mohd Azraai Mohd Razman Faculty of Manufacturing and Mechatronics Engineering Technology, Universiti Malaysia Pahang, 26600 Pahang, Malaysia.
  • Anwar P. P. Abdul Majeed School of Robotics, XJTLU Entrepreneur College (Taicang), Xi’an Jiatong-Liverpool University, Suzhou, 215123, P. R. China
  • Muhammad Amirul Abdullah Faculty of Manufacturing and Mechatronics Engineering Technology, Universiti Malaysia Pahang, 26600 Pahang, Malaysia.
  • Wan Hasbullah Mohd Isa Faculty of Manufacturing and Mechatronics Engineering Technology, Universiti Malaysia Pahang, 26600 Pahang, Malaysia.

DOI:

https://doi.org/10.15282/mekatronika.v4i2.8944

Keywords:

Artificial Intelligence, MATLAB, Fuzzy Logic Method, Rasberry Pi, FMWS

Abstract

Fire alarm system consist of several type of sensors that works togeher in order to detect a fire breakouts. But the systems itself consist of errors especially detecting smoke which sometimes could not lead to a potential fire breakouts instead causing a false alarm. Moreover, vision cameras are expensive to be installed and it takes a lot amount of money for maintenance alone. This causes many household does not equip with such devices making fire breakouts to be inevitable. In this research, the aim of this is to create a system that is cheap and could detect a potential fire before it could even happen by applying Fuzzy logic technique. By adding an Artificial Intelligence in a fire monitoring and warning systems, This could reduce error and predict the right event that could lead to a fire breakouts. With this, many household especially in Malaysia could have the safety to overcome this

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Published

2022-11-29

How to Cite

[1]
B. A. A. . Kiethson, I. Mohd Khairuddin, M. A. Mohd Razman, A. P. P. Abdul Majeed, M. A. . Abdullah, and W. H. Mohd Isa, “Artificial Intelligence Approach For Fire Monitoring and Warning System Design”, MEKATRONIKA, vol. 4, no. 2, pp. 58–63, Nov. 2022.

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Original Article

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