K2 relies on the deep learning of artificial intelligence, robot control and machine vision technology, combined with unmanned aerial vehicle (UAV) interaction technology, to monitor the dynamic changes of coastline and wetlands, and provide data support for fisheries.
Through the integrated application of UAV remote sensing image processing technology and GIS technology, combined with human-computer interactive visual interpretation technology, the dynamic changes of coastline and wetland were monitored.
Combined with laws and regulations, ocean planning, ocean function zoning, historical image data and other data, GIS information extraction and data production integration, the establishment of historical data vector map.
Through the integrated application of UAV remote sensing image processing technology and GIS technology, combined with human-computer interactive visual interpretation technology, the dynamic changes of coastline and wetland were monitored.
Combined with laws and regulations, ocean planning, ocean function zoning, historical image data and other data, GIS information extraction and data production integration, the establishment of historical data vector map.
Through automatic analysis and synthesis of the algorithm, according to historical data, regional planning and other data, the real data and historical data are compared and analyzed, the change trend and change trajectory are obtained, and the image changes of different time domain monitoring targets are obtained.
Based on the target and environment information feedback from the vision system, the motion path is planned in real time to guide the actuator to the actual position of the target.
400-0571-670 (7*24h客服热线)
+86-571-89987671 (周一至周五 8:30-17:30)