METHOD OF ARTIFICAL INTELLIGENCE TARGET LEARNING AND TARGET IDENTIFICATION FOR NEXT GENERATION NAVAL SHIP USING DIGITAL TWIN

摘要

Disclosed is an artificial intelligence target learning and target identification method for a next-generation trap using a digital twin. Receiving a target target image by the target target image input module; Performing a 3D rendering by applying a simulated maritime environment to the target target image received from the target target image input module by the target target 3D rendering module; The target target 3D rendering module configures outputting a 3D target image on which 3D rendering has been performed. According to the artificial intelligence target learning and target identification method for the next-generation ship using the digital twin described above, several chapters of the target target are configured to perform 3D rendering by applying various simulated maritime environments to the image, thereby constructing a database for the 3D target image In addition, there is an effect that can easily secure thousands of images under various marine environments required for AI-based recognition of the target trap. In addition, by performing AI-based learning using these 3D target images and through this, it is configured to accurately recognize the target of the sensor system image under AI-based, so that the enemy's target is automatically recognized and the commander's response can be determined more quickly. There is.