Exploring the role of computer vision in product design and development: a comprehensive review

Computer vision technologies have altered Product design and development, which have replaced old manual procedures. This study thoroughly examines computer vision’s role in affecting product design, examining its historical history, applications, and ramifications. The background emphasizes the constraints of traditional design, underlining the necessity for creative alternatives. Integrating computer vision aligns with Industry 4.0 trends, which call for smart and automated design procedures. The investigation delves into the growth of computer vision, its applications in quality control, design optimization, augmented/virtual reality, user interface design, and cultural/language acquisition. The article also looks into the relationship between computer vision and consumer analysis. The content analysis reduces 285 author keywords to 31 interrelated keywords that comprise five clusters. The conclusion emphasizes the social effect, promising more accessible, efficient, and innovative design processes. This multidisciplinary study dives into computer vision in product design and development by doing a thorough analysis of a variety of datasets. Examining three datasets with 285, 1066, and 1190 terms yields important results. The findings highlight the importance of “Product Design” and “Computer Vision” with changing patterns and concentrations across datasets. Thematic studies reveal repeating focus elements in titles and abstracts, such as “Design” and “Vision,” indicating a technological emphasis, human-centric concerns, and practical consequences. Network investigations reveal complex linkages and clustering within keyword networks, allowing for more in-depth knowledge of specific areas. These findings help to understand the dynamic interaction of computer vision and product design, driving future research and innovation in this rapidly growing sector.