AI-Based Dust Emission Monitoring Technology

Automatically detects abnormal dust emissions in real time using AI!

Solution Point

By monitoring dust emissions in real time and using AI for automatic judgment, it is possible to respond to abnormal situations at an early stage!
Automating dust monitoring tasks—prone to oversight and misjudgment—enables high precision and labor savings!

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Expected Problems

・Don’t you have trouble identifying early signs of abnormal dust emissions?

・Don’t you want to reduce the heavy workload of dust emission monitoring through automation?

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Technology highlight

・By quantifying the size and density of dust emissions, this system enables precise assessment of dust emission scale, which was conventionally difficult.

・The system enables to identify the source of dust emission based on the first image where dust emission is detected.

・Through color difference analysis between dust and background combined with AI learning, abnormal detection of continuously emitted dust becomes possible.

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Proposed Solutions (Examples)

By automatic real-time monitoring of facilities like coke ovens or steelmaking plants, it is possible to take quick action to suppress dust emissions, contributing to the reduction of the fallout dust amount both on- and off-site.

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