SYSTEM 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 system for a next-generation trap using a digital twin. A target target image input module that receives a target target image; Construct a target target 3D rendering module that performs 3D rendering by applying a simulated maritime environment to the target target image received from the target target image input module, and outputs the 3D target image on which the 3D rendering was performed. do. According to the artificial intelligence target learning and target identification system for next-generation ships using the digital twin described above, several pieces of target targets are configured to perform 3D rendering by applying various simulated maritime environments to the images, thereby constructing a database for 3D target images 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.