An Indoor Design Assistance System Integrating Depth Sensors and Computer Graphics

Abstract

Facing the dual challenges of growing personalized demands and efficiency improvements in the indoor design industry, this paper proposes an intelligent design assistance system that integrates depth sensors with computer graphics. This system achieves automated spatial data collection through multimodal data fusion technology, constructs immersive design environments with real-time rendering engines, and optimizes spatial layouts using reinforcement learning algorithms. Research results verify the system's significant advantages in enhancing design efficiency, optimizing spatial quality, and enhancing user experience, providing critical technological support for promoting digital transformation within the indoor design industry. The system's modular architecture enables seamless integration with existing design workflows, ensuring adaptability to diverse project requirements and client preferences.