Innovation in Modern Visual Communication Design Based on Computer Vision Technology

Abstract

Traditional visual design methods are no longer able to meet the diverse needs of users in the digital age in terms of information processing speed, visual recognition accuracy, and interactive experience. This article first summarizes the basic theories and mainstream models of computer vision in the field of visual communication, deeply analyzes the limitations of existing methods, and proposes an innovative computer vision fusion method for visual communication based on this. Through multidimensional analysis of model architecture, design process, and practical application cases, the significant advantages of this method in improving the level of visual communication intelligence and user experience have been demonstrated. Finally, this article also validates the effectiveness of relevant innovative practices, providing useful references for subsequent design innovation and theoretical development.