画像認識と自然言語処理の連成による核セキュリティ悪意行為検知
概要
An algorithm has been developed to detect sabotage, etc. by converting surveillance camera images and rule documents into graph structures by deep learning. In the verification using the demo video, the judgment accuracy of 90% or more was obtained. A basic technology has been established to realize an interface with natural language processing AI with image AI.
