Development of an AI-Augmented AR Furniture Exhibition System: A Case Study of Industry-Academia Collaborative Engineering

Abstract

The digital transformation of the traditional furniture manufacturing industry is severely hindered by high software development costs, lengthy Research and Development (R&D) cycles, and the inherent technical complexities associated with real-time 3D spatial visualization on mobile devices. This paper presents the comprehensive design, implementation, and empirical evaluation of a dual-terminal "Cloud Exhibition" platform, engineered through an innovative Industry-Academia collaborative R&D model. The proposed system architecture integrates Large Language Model (LLM) assisted UI-to-code generation, a lightweight Augmented Reality (AR) spatial rendering engine, and dynamic accessibility (WCAG 2.1) adaptation mechanisms. By establishing a novel AI-driven agile development workflow, the system effectively bridges the historical gap between visual design prototyping and front-end engineering. Technical evaluations demonstrate that the proposed architecture reduces the enterprise's software development cycle from an industry average of six months to under two weeks, achieving an overarching operational cost reduction of over 60%. Furthermore, the custom lightweight AR engine optimizes 3D model rendering for mobile GPUs utilizing topological decimation and texture baking, achieving a spatial projection dimensional error of less than ±1.8 cm and maintaining a stable 60 Frames Per Second (FPS) on standard consumer hardware. This study not only provides a scalable technological solution for SME digital transformation but also empirically validates the efficacy of university laboratories serving as agile tech-incubators for traditional manufacturing industries. This study provides a scalable framework that synergizes front-end engineering with industrial design pedagogy.