Fire Detection System Utilizing OpenCV

Author(s)	Vainavi Pandey
Country	India
Abstract	This paper introduces an innovative approach to fire detection alarm systems leveraging the OpenCV (Open-Source Computer Vision Library). By harnessing computer vision capabilities, the system examines real-time video feeds or images to promptly identify potential fire incidents using visual indicators like color, movement, and thermal patterns. This proposed system ensures early detection and precise localization of fires, facilitating swift responses and minimizing damage, injuries, and fatalities. Integrated seamlessly with safety systems, featuring user-friendly interfaces, and offering remote monitoring capabilities, the OpenCV-based fire detection alarm system presents a proactive and efficient solution for fire prevention and emergency response. Experimental findings underscore the system's effectiveness and its potential to elevate fire safety standards across diverse environments
Keywords	Fire detection using advanced machine learning techniques, YOLOv5, and convolutional neural networks (CNNs).
Field	Engineering
Published In	Volume 3, Issue 6, November-December 2022
Published On	2022-11-26

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