Vision-language model and CV-driven framework for engineering drawing parsing
Overview
We are developing a vision-language model and computer vision-driven framework to automate the analysis of engineering drawings. The framework aims to recognize drawing views, tables, annotations, structural components, dimensions, and semantic engineering information from construction, bridge, and tunnel drawings, supporting downstream design checking, construction planning, risk assessment, and digital engineering workflows.