Image-Based Structural Analysis Using Computer Vision and LLMs: PhotoBeamSolver

TL;DR

This paper introduces PhotoBeamSolver, a computer vision-based tool that interprets drawings to analyze idealized beam models, highlighting its potential for civil engineering applications despite current challenges.

Contribution

The paper develops a novel computer vision system for structural analysis from drawings, addressing integration challenges and outlining its application in civil engineering.

Findings

Successful interpretation of beam drawings using computer vision

Analysis of challenges in applying computer vision to structural engineering

Discussion of current state and future potential of computer vision in civil engineering

Abstract

This paper presents the development of a documented program capable of solving idealized beam models, such as those commonly used in textbooks and academic exercises, from drawings made by a person. The system is based on computer vision and statistical learning techniques for the detection and visual interpretation of structural elements. Likewise, the main challenges and limitations associated with the integration of computer vision into structural analysis are analyzed, as well as the requirements necessary for its reliable application in the field of civil engineering. In this context, the implementation of the PhotoBeamSolver program is explored, and the current state of computer vision in civil engineering is discussed, particularly in relation to structural analysis, infrastructure inspection, and engineering decision-support systems.