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Algorithm Mall
Wind turbine blade defect recognition is based on artificial intelligence vision technology, which performs inspection and recognition of wind power facilities within the wind power generation area. It automatically detects whether there are defects or abnormalities on the wind power page, generates image and video alarm information, and pushes it to the administrator to provide wind power setting inspection efficiency.
Wind Power Plant
Real time monitoring of wind power facilities, automatic detection of defects or abnormalities in wind turbine blades, generation of image and video alarm information, and push to administrators
Offshore Power Plant
Monitor offshore wind power facilities, identify blade defects, promptly alert and generate multimedia evidence
Mountain Power Plant
Automatically inspect wind turbine blades in complex terrain environments, detect defects and issue alarms, and optimize inspection processes
Remote Monitoring center
Centralize the detection data of multiple wind farms to a remote monitoring center, automatically identify blade defects, push alarm information, and improve centralized management efficiency