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The Methods and Approaches of Explainable Artificial Intelligence Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Real-Time Object Detection for Smart Connected Worker in 3D Printing

Authors : Shijie Bian, Tiancheng Lin, Chen Li, Yongwei Fu, Mengrui Jiang, Tongzi Wu, Xiyi Hang, Bingbing Li

Published in: Computational Science – ICCS 2021

Publisher: Springer International Publishing

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Abstract

IoT and smart systems have been introduced into the advanced manufacturing, especially 3D printing with the trend of the fourth industrial revolution. The rapid development of computer vision and IoT devices in recent years has led the fruitful direction to the development of real-time machine state monitoring. In this study, computer vision technology was adopted into the Smart Connected Worker (SCW) system with the use case of 3D printing. Specifically, artificial intelligence (AI) models were investigated instead of discrete labor-intensive methods to monitor the machine state and predict the errors and risks for the advanced manufacturing. The model achieves accurate supervision in real-time for twenty-four hours a day, which can reduce human resource costs significantly. At the same time, the experiments demonstrate the feasibility of adopting AI technology to more aspects of the advanced manufacturing.

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Metadata
Title
Real-Time Object Detection for Smart Connected Worker in 3D Printing
Authors
Shijie Bian
Tiancheng Lin
Chen Li
Yongwei Fu
Mengrui Jiang
Tongzi Wu
Xiyi Hang
Bingbing Li
Copyright Year
2021
Book
Computational Science – ICCS 2021

Print ISBN: 978-3-030-77969-6

Electronic ISBN: 978-3-030-77970-2

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-77970-2_42

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