Features 01
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?
Features 02
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.
Features 03
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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