Artificial Intelligence and VR Environment Design of Digital Museum Based on Embedded Image Processing

Abstract

This article first introduces the development of embedded image processing system, puts forward the overall design of the system structure, constructs the development environment of software system and hardware, and introduces in detail the choice of embedded image processing system and artificial intelligence embedded operating system in the industry, the choice of objective lens, and the choice and installation of the light source in the system. According to the system requirements, the design, function, and working method of the GPIO peripheral circuit are introduced in detail, and the circuit diagram and PCB diagram of the GPIO peripheral expansion circuit are provided. Based on this, this article focuses on the technical realization of 3D landscape modeling technology, 3D landscape rotation technology, digital museum dynamic scene fusion technology, interactive animation perception over time, real visual virtual landscape, and virtual roaming scene perception in detail. The 3D landscape modeling technology and the modeling method of digital museum environment in virtual reality in this article are used to analyze and study the general concept of VR environment design in virtual reality environment and make it based on different characteristic methods of different modeling. The overall structure and theoretical basis of the VR environment in the digital museum are based on technical solutions, such as process modeling and scene structure. This technical solution has been verified in practical applications and is achievable. Regarding image recording, this paper proposes an improved image-based recording method. In terms of image coupling, this article uses an improved progressive input and output algorithm that can use CRML to create simple dynamic scenes, which can create clear and vivid animation effects, so that the viewer has a good experience.