Stationary 3D Scanning System for IoT Applications

In various types of industrial applications, such as reverse engineering, machine operation, technical metrology, or modern factory maintenance, it is important to have systems that enable the quick and easy scanning of selected mechanical parts. This study presents the design process and analysis of a low-cost, 3D scanning system which can be used in industrial applications. The system collects point cloud data using an infrared distance sensor based on optical triangulation, controlled by a 32-bit microcontroller. Communication with the system is enabled through a serial interface and a dedicated window application, allowing users to monitor and adjust scanning parameters. The output data in the form of a point cloud are saved in a text file in the scanner’s controller memory and then sent wirelessly to an external device, e.g., cloud and/or a diagnostic controller. The electronic system is equipped with a radio module that can be used to communicate with other devices in line with the idea of the Internet of Things and the concept of Industry 4.0. The results of the study are based on the accuracy of the three-dimensional digitization of the tested object and on the determination of the average measurement uncertainty.

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Publication Details

Journal
Applied Sciences
Published
2024-12-11
DOI
https://doi.org/10.3390/app142411587
Citations
1
Primary Topic
Image Processing and 3D Reconstruction
Type
article
Field-Weighted Citation Impact
0.25
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article

Stationary 3D Scanning System for IoT Applications

Mateusz Kowalski, Andrzej Milecki, Dominik Rybarczyk
1 citations
Applied Sciences
Image Processing and 3D Reconstruction
0.25
article

Stationary 3D Scanning System for IoT Applications

Mateusz Kowalski, Andrzej Milecki, Dominik Rybarczyk
article en
1 citations

Abstract

In various types of industrial applications, such as reverse engineering, machine operation, technical metrology, or modern factory maintenance, it is important to have systems that enable the quick and easy scanning of selected mechanical parts. This study presents the design process and analysis of a low-cost, 3D scanning system which can be used in industrial applications. The system collects point cloud data using an infrared distance sensor based on optical triangulation, controlled by a 32-bit microcontroller. Communication with the system is enabled through a serial interface and a dedicated window application, allowing users to monitor and adjust scanning parameters. The output data in the form of a point cloud are saved in a text file in the scanner’s controller memory and then sent wirelessly to an external device, e.g., cloud and/or a diagnostic controller. The electronic system is equipped with a radio module that can be used to communicate with other devices in line with the idea of the Internet of Things and the concept of Industry 4.0. The results of the study are based on the accuracy of the three-dimensional digitization of the tested object and on the determination of the average measurement uncertainty.

Applied SciencesVol. 14(24)
Poznań University of Technology (PL)
Industry, innovation and infrastructure
Openalex Percentile: Top 44%
Image Processing and 3D Reconstruction
0.25
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Stationary 3D Scanning System for IoT Applications — Mateusz Kowalski, Andrzej Milecki, et al. · Applied Sciences (2024) | TGRS Research Map | TGRS