AR Visualization System for Ship Detection and Recognition Based on AI
Ziqi Ye Limin Huang Yongji Wu Min Hu
Augmented reality technology has been widely used in industrial design
interaction, exhibition guide, information retrieval and other fields. The
combination of artificial intelligence and augmented reality technology has
also become a future development trend. This project is an AR visualization
system for ship detection and recognition based on AI, which mainly includes
three parts: artificial intelligence module, Unity development module and
Hololens2AR module. This project is based on R3Det algorithm to complete the
detection and recognition of ships in remote sensing images. The recognition
rate of model detection trained on RTX 2080Ti can reach 96%. Then, the 3D model
of the ship is obtained by ship categories and information and generated in the
virtual scene. At the same time, voice module and UI interaction module are
added. Finally, we completed the deployment of the project on Hololens2 through
MRTK. The system realizes the fusion of computer vision and augmented reality
technology, which maps the results of object detection to the AR field, and
makes a brave step toward the future technological trend and intelligent
application.