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In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.

Object detection in technical drawings for data-driven design: the case of patents

Consoloni, Marco (1,2); Marino, Gabriele (1); Meini, Denny (1); Socci, Luciano (3); Giordano, Vito (1,2); Fantoni, Gualtiero (1,2)

Type:
Papers
DS 145: Proceedings of the DESIGN2026 19th International Design Conference
Year:
2026
Editor:
Štorga, M.; Škec, S.; Martinec, T.; Marjanović, D.; Pavković, N.
Author:
Consoloni, Marco (1,2); Marino, Gabriele (1); Meini, Denny (1); Socci, Luciano (3); Giordano, Vito (1,2); Fantoni, Gualtiero (1,2)
Series:
DESIGN
Institution:
1: Università di Pisa, Italy; 2: Business Engineering for Data Science (B4DS) research group, Italy; 3: Coesia, Italy
Page(s):
2233-2242
DOI number:
10.1017/pds.2026.10581
ISSN:
2732-527X (Online)
Abstract:
Data-Driven Design (DDD) is emerging as a transformative approach in engineering design, leveraging AI tools to extract knowledge from design data that drive product development and innovation. While large language models have advanced DDD through the analysis of textual data, technical drawings remain largely unexplored. To address the limitations of current vision-language models, this study presents a novel object detection pipeline that automatically identifies components in patent images, enabling data-driven analysis of component geometries, interfaces, and spatial configurations.
Keywords:
data-driven design, artificial intelligence (AI), vision-language model, object detection, patent drawings
DESIGN2026 - The 19th International Design Conference
Conferences

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