Embedded Design of 3D Image Intelligent Display System Based on Virtual Reality Technology

The previous 3D image intelligent display system is large in size and poor in accuracy, and the display effect and synchronization cannot meet the needs of users. Aiming at this phenomenon, a 3D image embedded intelligent display system based on virtual reality technology is designed. In recent years, with the rapid development of computer technology, three-dimensional measurement technology has become increasingly mature, and three-dimensional information technology has emerged in different fields in real life. With the development of computer science and automatic control technology, more and more intelligent robots appear in production and life. As an important subsystem of intelligent robot systems, the vision system is also receiving more and more attention. The three-dimensional imaging system projects a structured grating on the surface of the target object, uses a digital sensor to collect the deformed structured light image modulated by the surface of the object, and comprehensively uses image processing technology and precision measurement technology to achieve noncontact three-dimensional measurement of the object. This method of number of three-dimensional coordinates has the advantage of not being damaged, high efficiency, high degree of automation, low cost, etc. It has very important significance and broad application prospects for improving product quality and manufacturing efficiency and reducing production costs. Through the investigation and analysis of the existing 3D image intelligent display system embedded, this paper designs and realizes the 3D image intelligent display embedded system, which includes a high-speed structured light projection module, an embedded image acquisition and processing module, and a 3D reconstruction module. Among them, the embedded 3D imaging image acquisition and processing system is an important part of the embedded 3D measurement system, which provides a certain theoretical and practical basis for future in-depth research. The experimental results in this article show that the acquisition module takes 1.934 s to obtain the folded phase of the measured object through phase demodulation and the algorithm, while the phase demodulation and unfolding takes 2.068 s. Therefore, the algorithm needs to be further optimized to speed up the image processing speed and reflect the real-time effect of the system.