Indoor automated fire extinguisher system using computer vision
This paper presents the development of an automated fire extinguisher robot by employing fire recognition using computer vision. This project aims to develop a robot that can search, detect and extinguish small flames for indoor purposes. The robot is developed by applying open-source image processi...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Institute of Physics
2023
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/40387/1/Indoor%20automated%20fire%20extinguisher%20system%20using%20computer%20vision.pdf |
| _version_ | 1796996245113274368 |
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| author | Muhammad Hisyam, Rosle Chia, Khoo Yan Abdul, Nasir |
| author_facet | Muhammad Hisyam, Rosle Chia, Khoo Yan Abdul, Nasir |
| author_sort | Muhammad Hisyam, Rosle |
| collection | UMP |
| description | This paper presents the development of an automated fire extinguisher robot by employing fire recognition using computer vision. This project aims to develop a robot that can search, detect and extinguish small flames for indoor purposes. The robot is developed by applying open-source image processing to recognize the presence of fire. A control program was built to control the movement of the robot's servo motor. The performance of the fire recognition was analysed in different light intensities and angles. The development of this project makes use of a camera and computer vision in place of various sensors, such as gas sensors, temperature sensors, and infrared sensors, to detect fires. Furthermore, a microprocessor is employed to operate the water pump and servo motor, which drive the nozzle to the position specified by the microcontroller. The results reveal that the proposed vision-based fire detection system has a high classification accuracy correspond to fire recognition. |
| first_indexed | 2024-04-22T01:26:05Z |
| format | Conference or Workshop Item |
| id | UMPir40387 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-04-22T01:26:05Z |
| publishDate | 2023 |
| publisher | Institute of Physics |
| record_format | dspace |
| spelling | UMPir403872024-04-16T04:20:03Z http://umpir.ump.edu.my/id/eprint/40387/ Indoor automated fire extinguisher system using computer vision Muhammad Hisyam, Rosle Chia, Khoo Yan Abdul, Nasir T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering This paper presents the development of an automated fire extinguisher robot by employing fire recognition using computer vision. This project aims to develop a robot that can search, detect and extinguish small flames for indoor purposes. The robot is developed by applying open-source image processing to recognize the presence of fire. A control program was built to control the movement of the robot's servo motor. The performance of the fire recognition was analysed in different light intensities and angles. The development of this project makes use of a camera and computer vision in place of various sensors, such as gas sensors, temperature sensors, and infrared sensors, to detect fires. Furthermore, a microprocessor is employed to operate the water pump and servo motor, which drive the nozzle to the position specified by the microcontroller. The results reveal that the proposed vision-based fire detection system has a high classification accuracy correspond to fire recognition. Institute of Physics 2023 Conference or Workshop Item PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/40387/1/Indoor%20automated%20fire%20extinguisher%20system%20using%20computer%20vision.pdf Muhammad Hisyam, Rosle and Chia, Khoo Yan and Abdul, Nasir (2023) Indoor automated fire extinguisher system using computer vision. In: Journal of Physics: Conference Series; 8th International Conference for Man Machine Systems, ICoMMS 2023 , 4-5 September 2023 , Hybrid, Kuala Lumpur. pp. 1-8., 2641 (012027). ISSN 1742-6588 https://doi.org/10.1088/1742-6596/2641/1/012027 |
| spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Muhammad Hisyam, Rosle Chia, Khoo Yan Abdul, Nasir Indoor automated fire extinguisher system using computer vision |
| title | Indoor automated fire extinguisher system using computer vision |
| title_full | Indoor automated fire extinguisher system using computer vision |
| title_fullStr | Indoor automated fire extinguisher system using computer vision |
| title_full_unstemmed | Indoor automated fire extinguisher system using computer vision |
| title_short | Indoor automated fire extinguisher system using computer vision |
| title_sort | indoor automated fire extinguisher system using computer vision |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/40387/1/Indoor%20automated%20fire%20extinguisher%20system%20using%20computer%20vision.pdf |
| work_keys_str_mv | AT muhammadhisyamrosle indoorautomatedfireextinguishersystemusingcomputervision AT chiakhooyan indoorautomatedfireextinguishersystemusingcomputervision AT abdulnasir indoorautomatedfireextinguishersystemusingcomputervision |