Research on AIGC-assisted design of heavy-duty truck brand styling based on product image identification: A case study of FAW Jiefang

Objective Combined with the theory of product image recognition, apply artificial intelligence generated content (AIGC) technology to innovate the branding design process of FAW Jiefang Heavy Duty Truck. Methods Analyze and refine the branding characteristics of FAW Jiefang heavy truck styling, use AIGC technology to form a new method of FAW Jiefang heavy truck branding design by establishing a database and building an AIGC design tool; analyze the historical styling data of a large number of domestic and foreign heavy truck brands, build a heavy truck styling database and an AIGC design tool and practice it to form a complete design process. Conclusion This study confirms that AIGC technology can effectively empower branding design and realize efficient innovation iteration while ensuring the continuity of family characteristics. The constructed methodology system provides a new paradigm for the digital inheritance of brand genes of complex industrial products, and the related tool chain has the potential to migrate to aerospace and shipbuilding fields.