Ray Tracing -driven System of Virtual Fitting Based on Trustworthy Identification of IIoT

Virtual fitting system is a promising direction for artificial intelligence (AI) application in the Industrial Internet of things (IIoT). However, existing research is beyond the overall links between IIoT and real-world experience. In this paper, the Product Lifecycle Management (PLM) data is integrated through the identification of IIoT to realize a digital twin system. The entire process involves multiple production companies with various PLM systems through identification. The system introduces dynamic ray tracing to imitate fitting effect in the way of rendering where the whole process of monitoring makes the traceability of the product simple and reliable. In addition, the system has an AI analysis model of user preference with a selection interface, which can build the virtual fitting model according to the users' wishes. The design help users have a more immersive shopping experience. Finally, consumers' desire is stimulated to prove the feasibility and effectiveness of the virtual fitting system.