Automatic identification system for anomaly operation status of ship using unsupervised learning method and method thereof

The present invention relates to an automatic identification system for the abnormal operation status of a vessel using an unsupervised learning method and a method thereof. Especially, the automatic identification system receives the track data of a radar and a vessel′s automatic identification device (AIS) in a vessel traffic service system (VTS) to perform unsupervised learning, automatically determines the operation status of the vessel operating a control area by using the learning result, identifies an abnormal operation ship, and displays the result. The automatic identification system includes a vessel traffic database, an unsupervised learning machine, an abnormal status checking device and a vessel traffic control information display device.