Design of a Brand Emotional Connection System Based on Visual Communication

This paper designs and implements a visual brand emotional connection system, integrating computer vision, natural language processing, and affective computing technologies to achieve precise recognition of brand visual elements, analysis of user emotional states, and generation of personalized emotional expressions. The system adopts a modular design, demonstrating outstanding accuracy in visual recognition, emotional connection effects, and user experience levels. After comprehensive testing and evaluation, an optimization plan is formulated to further enhance capabilities such as font recognition, emotional sentence generation, interface loading, and personalized recommendations, continuously optimizing the user experience. This system is expected to become an outstanding representative in the fields of visual brand marketing and emotional connection, promoting emotional bonds between brands and users and continuously increasing brand influence.