实时装配操作识别

The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science Pub Date : 2022-12-15 DOI:10.35219/mms.2022.4.15

F. Marin, G. Gurău, M. Marin

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引用次数: 0

摘要

本研究旨在提出一种人工装配任务的计算机视觉跟踪算法。电子零件的人工装配在汽车工业中应用广泛。组装的阶段跟踪也可以用于学习目的，如在本研究中所示，检查电子教育板的组装。用于检测不同成分的算法有CNN(卷积神经网络)和blob检测。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Real-Time Assembly Operation Recognition

This research is concerned to propose a computer vision algorithm to track manual assembly task. Manual assembly in case of electronics parts are used largely in automotive industry. The phases tracking of assembly could also be used for learning purposes such in case showed in this research, checking the assembly of an electronic educational board. The algorithms used for detection of different components are CNN (Convolutional Neuronal Network) as well as blob detection.

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来源期刊

The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science

自引率

0.00%

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审稿时长

8 weeks