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低成本原型自动化零件的三维数字化:应用实例与比较。

Low-Cost Prototype to Automate the 3D Digitization of Pieces: An Application Example and Comparison.

机构信息

Technology Centre of Metal-Mechanical and Transport, Department of Visual Computing, 23700 Linares, Spain.

Department of Graphic and Geomatic Engineering, Campus of Rabanales, University of Córdoba, 14014 Córdoba, Spain.

出版信息

Sensors (Basel). 2021 Apr 7;21(8):2580. doi: 10.3390/s21082580.

DOI:10.3390/s21082580
PMID:33916989
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8067622/
Abstract

This work is aimed at describing the design of a mechanical and programmable 3D capturing system to be used by either 3D scanner or DSLR camera through photogrammetry. Both methods are widely used in diverse areas, from engineering, architecture or archaeology, up to the field of medicine; but they also entail certain disadvantages, such as the high costs of certain equipment, such as scanners with some precision, and the need to resort to specialized operatives, among others. The purpose of this design is to create a robust, precise and cost-effective system that improves the limitations of the present equipment on the market, such as robotic arms or rotary tables. For this reason, a preliminary study has been conducted to analyse the needs of improvement, later, we have focused on the 3D design and prototyping. For its construction, there have been used the FDM additive technology and structural components that are easy to find in the market. With regards to electronic components, basic electronics and Arduino-based 3D printers firmware have been selected. For system testing, the capture equipment consists of a Spider Artec 3D Scanner and a Nikon 5100 SLR Camera. Finally, 3D models have been developed by comparing the 3D meshes obtained by the two methods, obtaining satisfactory results.

摘要

这项工作旨在描述一个机械和可编程的 3D 捕捉系统的设计,该系统可通过摄影测量法由 3D 扫描仪或数码单反相机使用。这两种方法都广泛应用于从工程、建筑或考古学,到医学等各个领域;但它们也存在一些缺点,例如某些设备(如具有一定精度的扫描仪)的成本较高,以及需要依靠专业操作人员等。本设计的目的是创建一个强大、精确且具有成本效益的系统,以改善市场上现有设备的局限性,例如机器人臂或旋转台。为此,我们进行了一项初步研究,以分析需要改进的地方,之后,我们专注于 3D 设计和原型制作。在构建过程中,我们使用了 FDM 增材技术和易于在市场上找到的结构组件。在电子元件方面,我们选择了基本的电子元件和基于 Arduino 的 3D 打印机固件。对于系统测试,捕捉设备包括 Spider Artec 3D 扫描仪和 Nikon 5100 SLR 相机。最后,通过比较两种方法获得的 3D 网格,开发了 3D 模型,得到了令人满意的结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e55/8067622/be8e25bc5c23/sensors-21-02580-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e55/8067622/ae5d4d99f2de/sensors-21-02580-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e55/8067622/be8e25bc5c23/sensors-21-02580-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e55/8067622/ae5d4d99f2de/sensors-21-02580-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e55/8067622/4a4470c1fa67/sensors-21-02580-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e55/8067622/ff9e585f4dcb/sensors-21-02580-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e55/8067622/cb513715f6cb/sensors-21-02580-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e55/8067622/d52b3ba8d76d/sensors-21-02580-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e55/8067622/3bb4adac6966/sensors-21-02580-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e55/8067622/215f78333d1a/sensors-21-02580-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e55/8067622/6c60fa4e8cbe/sensors-21-02580-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e55/8067622/a84939093963/sensors-21-02580-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e55/8067622/65ef6e06f8fc/sensors-21-02580-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e55/8067622/f6009587fad2/sensors-21-02580-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e55/8067622/7912412b3fcd/sensors-21-02580-g016.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e55/8067622/be8e25bc5c23/sensors-21-02580-g018.jpg

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