AI Visual Smoke & Fire Detection System

Intelligent Detection

AI Visual Smoke & Fire Detection System

AI vision-based early smoke and fire detection system that captures smoke or flames and raises an alarm within 3 seconds.

Overview

It applies feature analysis algorithms, deep neural network algorithms and knowledge graph technology to accurately identify the colour, shape and dynamic characteristics of flames.

A multi-band image fusion algorithm fuses and analyses flame imaging in both visible light and infrared light.

The AI algorithm based on mathematical features is built on mathematical models of smoke and fire. Different mathematical models are established for different combustion media such as gasoline, gas, wood and alcohol fires as well as cutting and electric welding, and deep neural networks are used for clustering and judgement.

The knowledge-graph scene recognition algorithm can accurately identify artificial light sources, reflections and hot work scenarios such as electric welding and cutting, significantly reducing the false alarm rate.

It can replace traditional heat and smoke detectors, or upgrade existing security surveillance with smoke and fire early warning, providing more reliable and effective protection for all kinds of sites.

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