Safeguard: Intelligent Fire Extinguisher

Firefighting is a hazardous and time-sensitive operation. Conventional fire suppression systems rely heavily on manual intervention, which can lead to delays and increased risks. To address this, we propose Safeguard: Intelligent Fire Extinguisher, an autonomous fire detection and suppression system using computer vision and an Arduino-based control mechanism. The system detects fire in real-time using image processing techniques, determines its precise location, and actuates a servo motorcontrolled water pump to extinguish the flames. This ensures faster response times, minimal water wastage, and reduced human involvement, making it suitable for industrial and hazardous environments.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-04-25
DOI
https://doi.org/10.22214/ijraset.2025.69178
Primary Topic
Fire Detection and Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Safeguard: Intelligent Fire Extinguisher

Sayed Mustafa Mahdi Rizvi
International Journal for Research in Applied Science and Engineering Technology
Fire Detection and Safety Systems
article

Safeguard: Intelligent Fire Extinguisher

Sayed Mustafa Mahdi Rizvi
article en

Abstract

Firefighting is a hazardous and time-sensitive operation. Conventional fire suppression systems rely heavily on manual intervention, which can lead to delays and increased risks. To address this, we propose Safeguard: Intelligent Fire Extinguisher, an autonomous fire detection and suppression system using computer vision and an Arduino-based control mechanism. The system detects fire in real-time using image processing techniques, determines its precise location, and actuates a servo motorcontrolled water pump to extinguish the flames. This ensures faster response times, minimal water wastage, and reduced human involvement, making it suitable for industrial and hazardous environments.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(4)
Openalex Percentile: Top 90%
Fire Detection and Safety Systems
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