Indoor automated fire extinguisher system using computer vision

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

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Abstract

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.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Computer vision; Fire extinguishers; Fires; Infrared detectors
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical and Electronic Engineering Technology
Depositing User: Mr Muhamad Firdaus Janih@Jaini
Date Deposited: 16 Apr 2024 04:20
Last Modified: 16 Apr 2024 04:20
URI: http://umpir.ump.edu.my/id/eprint/40387
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