Artificial intelligence approach for fire monitoring and warning system design
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 ex...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Penerbit UMP
2022
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/37263/ http://umpir.ump.edu.my/id/eprint/37263/1/Artificial%20Intelligence%20Approach%20For%20Fire%20Monitoring%20and%20Warning%20System%20Design.pdf |
| _version_ | 1848825204280655872 |
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| author | Kiethson, Branden Adems Mohd Khairuddin, Ismail Anwar P. P., Abdul Majeed Mohd Razman, Mohd Azraai Abdullah, Muhammad Amirul Mohd Isa, Wan Hasbullah |
| author_facet | Kiethson, Branden Adems Mohd Khairuddin, Ismail Anwar P. P., Abdul Majeed Mohd Razman, Mohd Azraai Abdullah, Muhammad Amirul Mohd Isa, Wan Hasbullah |
| author_sort | Kiethson, Branden Adems |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | 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 |
| first_indexed | 2025-11-15T03:25:12Z |
| format | Article |
| id | ump-37263 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:25:12Z |
| publishDate | 2022 |
| publisher | Penerbit UMP |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-372632023-03-10T02:56:07Z http://umpir.ump.edu.my/id/eprint/37263/ Artificial intelligence approach for fire monitoring and warning system design Kiethson, Branden Adems Mohd Khairuddin, Ismail Anwar P. P., Abdul Majeed Mohd Razman, Mohd Azraai Abdullah, Muhammad Amirul Mohd Isa, Wan Hasbullah QC Physics T Technology (General) TJ Mechanical engineering and machinery TS Manufactures 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 Penerbit UMP 2022-11 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/37263/1/Artificial%20Intelligence%20Approach%20For%20Fire%20Monitoring%20and%20Warning%20System%20Design.pdf Kiethson, Branden Adems and Mohd Khairuddin, Ismail and Anwar P. P., Abdul Majeed and Mohd Razman, Mohd Azraai and Abdullah, Muhammad Amirul and Mohd Isa, Wan Hasbullah (2022) Artificial intelligence approach for fire monitoring and warning system design. Mekatronika - Journal of Intelligent Manufacturing & Mechatronics, 4 (2). pp. 58-63. ISSN 2637-0883. (Published) https://doi.org/10.15282/mekatronika.v4i2.8944 https://doi.org/10.15282/mekatronika.v4i2.8944 |
| spellingShingle | QC Physics T Technology (General) TJ Mechanical engineering and machinery TS Manufactures Kiethson, Branden Adems Mohd Khairuddin, Ismail Anwar P. P., Abdul Majeed Mohd Razman, Mohd Azraai Abdullah, Muhammad Amirul Mohd Isa, Wan Hasbullah Artificial intelligence approach for fire monitoring and warning system design |
| title | Artificial intelligence approach for fire monitoring and warning system design |
| title_full | Artificial intelligence approach for fire monitoring and warning system design |
| title_fullStr | Artificial intelligence approach for fire monitoring and warning system design |
| title_full_unstemmed | Artificial intelligence approach for fire monitoring and warning system design |
| title_short | Artificial intelligence approach for fire monitoring and warning system design |
| title_sort | artificial intelligence approach for fire monitoring and warning system design |
| topic | QC Physics T Technology (General) TJ Mechanical engineering and machinery TS Manufactures |
| url | http://umpir.ump.edu.my/id/eprint/37263/ http://umpir.ump.edu.my/id/eprint/37263/ http://umpir.ump.edu.my/id/eprint/37263/ http://umpir.ump.edu.my/id/eprint/37263/1/Artificial%20Intelligence%20Approach%20For%20Fire%20Monitoring%20and%20Warning%20System%20Design.pdf |