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 color, shape and dynamic characteristics of flames.

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

The system combines feature-based algorithms and deep neural networks to recognize the visual and thermal characteristics of smoke and fire. Different detection models can be applied to different fire characteristics and combustion materials — such as gasoline, gas, wood and alcohol fires as well as cutting and electric welding — to improve detection accuracy in complex industrial environments.

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 complement conventional heat and smoke detection systems and add intelligent fire detection capabilities to existing video surveillance systems, providing more reliable and effective protection for all kinds of sites.

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