Innovative Design and Development of Brand Visual System under the Background of Artificial Intelligence-Assisted Visual Communication Design

Businesses that want to stand out in today's crowded marketplace must have a distinct identity for their brand. Visual branding stands out among the other aspects that make up a business's identity as a potent means of captivating consumers and communicating the essence of the brand. Visual branding, when done well, may influence customers' opinions, evoke strong feelings, and stamp themselves in their memories. Because every visual aspect of a brand—its logo, color palette, and typography—is meticulously designed to communicate the character, principles, and goals of the company. One of the most influential aspects of branding is visual identity. Brands may convey their beliefs, connect with customers on an emotional level, and differentiate themselves from competitors by using design elements like logos, colors, typography, images, and graphics. Visual branding, when done well, becomes an inherent aspect of a brand's identity and helps it to make an impact on its intended consumers. Visual branding is an effective tool for building a distinct brand identity for the company. Revolutionizing graphic design are Artificial Intelligence (AI) tools that can create visuals from natural language. But with visual persuasion, the picture is more than simply a representation; it is the message. The need to comprehend the potential applications of AI systems in the creation of visual communication gives birth to this. An investigation of grounded theory based on the opinions of experts in the key fields of visual communication led to the development of a model that this article uses to define the theoretical-methodological aspects involved in the creation of convincing visual discourses. As a result, we provide a strategy that, when followed, will lead designers through seven steps in creating convincing messages. In addition, we provide an analysis that may help with the logical and well-informed integration of stage-specific technologies, processes, and methodologies. In this study, visual communication design is implemented using ResNet101 model with Improved Artificial Bee Colony optimization model for feature selection and processing the visual and text elements in to the environment.