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An Open-Source, Low-Cost Solution for 3D Scanning.

Andrei Mateescu¹, Ioana Livia Stefan¹, Silviu Raileanu²

¹Automatic Control and Systems Engineering Department, Faculty of Automatic Control and Computers, National University of Science and Technology Politehnica of Bucharest, Splaiul Independentei, No. 313, 060042 Bucharest, Romania.

Sensors (Basel, Switzerland)

|January 10, 2026

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This study introduces an affordable, open-source three-dimensional (3D) scanning system for industrial use. The low-cost 3D scanner achieves accurate object dimension extraction for manufacturing applications.

Area of Science:

Engineering
Computer Science
Metrology

Background:

Industrial applications increasingly require advanced three-dimensional (3D) scanning for manufacturing, quality control, and inspection.
Existing industrial 3D scanning solutions are often prohibitively expensive, limiting accessibility.

Purpose of the Study:

To propose and evaluate an open-source, low-cost 3D scanning architecture suitable for industrial environments.
To provide a cost-effective alternative for obtaining 3D models for manufacturing purposes.

Main Methods:

Developed a 3D scanning system utilizing a linear laser beam swept by a rotating mirror and a camera.
Employed a laser triangulation-inspired technique to extract object dimensions from captured images.
Acquired and analyzed 3D models of various objects, comparing them to real-world measurements.

Keywords:

3D scanner computer vision linear laser open-source

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Main Results:

The proposed system achieved a maximum mean height error of 2.56 mm, a maximum mean length error of 1.48 mm, and a maximum mean width error of 1.30 mm on the raw point cloud.
Scanning time was approximately 4 seconds per laser line.
The system successfully generated 3D models comparable to real-world object dimensions.

Conclusions:

The developed open-source, low-cost 3D scanning architecture is a viable solution for industrial applications.
The system demonstrates potential for accurate 3D model generation in manufacturing contexts.
Further improvements can enhance the system's performance and applicability.