Fire Detection System Using Image Analysis for Hazard Classification
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Solution Overview
Problem
Fire detection and suppression systems (FDSS) face challenges in accurately differentiating between hazardous and non-hazardous fires, leading to false alarms and ineffective early detection in environments like commercial kitchens where cooking fires are common.
Innovation Solution
The integration of an image capture device, such as a CCTV system, and edge computing capabilities that perform edge detection and flame analysis to classify fires as hazardous or non-hazardous, activating an electric extinguisher only when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional fire detection systems are used, then fire detection is provided, but false alarms occur due to inability to differentiate hazardous and non-hazardous fires
Solution Approach 1:
The patent transitions from traditional single-dimension fire detection (smoke/heat sensors only) to multi-dimensional detection by incorporating image capture devices that provide visual dimension data. This allows the system to analyze flame characteristics, patterns, and morphology in addition to thermal and smoke data, enabling accurate differentiation between hazardous and non-hazardous fires without false alarms
Solution Approach 2:
The patent introduces an intermediary classification module that processes images from CCTV or dedicated flame detection cameras. This intermediary analyzes flame characteristics and provides classification information to the fire detection system, enabling it to distinguish between cooking fires (non-hazardous) and dangerous fires (hazardous) before triggering alarms or suppression systems
2Object-affected harmful factors
If fire suppression is activated for all detected fires, then fire safety is improved, but unnecessary suppression of non-hazardous fires occurs
Solution Approach 1:
The patent implements preliminary classification of detected fires using image analysis and characteristic pattern recognition before activation of suppression systems. The system pre-processes fire detection data through multiple analysis stages (image capture, flame characteristic extraction, classification algorithms) to determine hazard level, ensuring suppression actions are taken only after confirming the fire is hazardous and not a legitimate cooking flame
Solution Approach 2:
The patent incorporates feedback loops where the system continuously monitors fire characteristics and adjusts suppression decisions based on real-time analysis. The classification module provides feedback on fire type and hazard level, allowing the system to confirm hazardous conditions before triggering suppression and to stop suppression if the fire is determined to be non-hazardous, preventing false suppression actions
Data Source
AI summary
A system includes an image capture device, a fire extinguisher, and one or more processors. The image capture device is to detect one or more images of a premise. The one or more processors are to receive an indication of a fire in the premise, process, responsive to receiving the indication of the fire, the one or more images to determine that the fire meets at least one criteria of being hazardous, and activate the fire extinguisher responsive to the determination that the fire meets the at least one criteria.