Research on Computational Art Design Visual System Based on Weak Artificial Intelligence Technology

The increasing development of weak artificial intelligence technology has had a profound impact on the field of design. It not only provides new sources of inspiration for artistic creation, but also makes the constraints of visual communication design more complex. At the same time, media convergence has promoted a strong demand for cross media conversion and diversified output, especially in the process of brand visual innovation, where more and more multimedia elements, dynamic effects, and interactive needs are emerging. Traditional visual design methods are insufficient in this complex design environment, and there is an urgent need to innovate design patterns through new technologies and strategies. Since the concept of "computational design" was proposed, algorithms and programming techniques have gradually become the core tools of modern visual design. Through extensive practice, computational design has not only brought rich changes to brand visual forms, but also developed into a systematic design pattern that can respond to the diversity and dynamism of today's design needs. This study explores the structure and development of computational visual design systems, with a focus on analyzing their potential applications and practical strategies in new retail pet brands. Through in-depth market research, the application opportunities of computational design in brand vision have been revealed, and algorithm based brand vision construction strategies, brand image communication strategies, and community driven visual communication strategies have been proposed. Finally, by combining the actual design case of the "Xiaopei Pet" brand, the effectiveness of these strategies was verified, providing new ideas for innovation in the field of brand visual design and valuable experience for the future development of computational visual design.