3D Geometric Measurements of 3D Printed Concrete via Structured Light Machine Vision

Document Type

Conference Proceeding

Publication Date

1-1-2025

Abstract

Automated inspection and quality control of the robotic 3D printing process remains a key challenge for the broader adoption of this innovative construction method. To address this, a novel methodology for in-process geometrical measurement of 3D printed layers using laser light machine vision is proposed. This system utilizes a vision algorithm to process data from a 2D camera, enhanced by a structured laser light (SLL) pattern, to measure both the width and height of the extrudates. A systematic validation program, including single-layer and multi-layer deformed specimens, was conducted to evaluate the proposed methodology. The results demonstrate that the designed SLL vision system delivers continuous geometrical measurements with a maximum error of less than 1 mm. The SLL algorithm's processing time of 0.25 s, combined with its high measurement accuracy, indicates its great potential for real-time geometrical measurements during robotic 3D printing.

Publication Source (Journal or Book title)

Computing in Civil Engineering 2025 Computational and Intelligent Technologies Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2025

First Page

876

Last Page

884

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