Detection of foreign bodies in periodic motion scenes using shape-and size-adaptive descriptors

Lizhong Wang; Yichen Xu; Fanwu Meng

doi:10.1109/ICPICS52425.2021.9524093

Detection of foreign bodies in periodic motion scenes using shape-and size-adaptive descriptors

Lizhong Wang, Yichen Xu, Fanwu Meng^*

^*Corresponding author for this work

School of Mechanical Engineering

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The detection of foreign bodies in a machining production line is important for guaranteeing its stability and safety. The traditional methods for such detection either rely on manual observation, which is a time-consuming and labor-intensive process. In this paper, we present a machine vision-based method for automatically detecting foreign bodies in a machining production line with periodic motion scenes. The results demonstrate that this method can achieve reasonable accuracy in the detection of foreign bodies in a machining production line with periodic motion scenes.

Original language	English
Title of host publication	2021 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	718-721
Number of pages	4
ISBN (Electronic)	9781665441308
DOIs	https://doi.org/10.1109/ICPICS52425.2021.9524093
Publication status	Published - 29 Jul 2021
Event	2021 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2021 - Shenyang, China Duration: 29 Jul 2021 → 31 Jul 2021

Publication series

Name	2021 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2021

Conference

Conference	2021 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2021
Country/Territory	China
City	Shenyang
Period	29/07/21 → 31/07/21

Keywords

foreign body detection
machine vision
periodic motion scene
shape-and size-adaptive descriptor

Access to Document

10.1109/ICPICS52425.2021.9524093

Cite this

Wang, L., Xu, Y., & Meng, F. (2021). Detection of foreign bodies in periodic motion scenes using shape-and size-adaptive descriptors. In 2021 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2021 (pp. 718-721). (2021 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPICS52425.2021.9524093

Wang, Lizhong ; Xu, Yichen ; Meng, Fanwu. / Detection of foreign bodies in periodic motion scenes using shape-and size-adaptive descriptors. 2021 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 718-721 (2021 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2021).

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title = "Detection of foreign bodies in periodic motion scenes using shape-and size-adaptive descriptors",

abstract = "The detection of foreign bodies in a machining production line is important for guaranteeing its stability and safety. The traditional methods for such detection either rely on manual observation, which is a time-consuming and labor-intensive process. In this paper, we present a machine vision-based method for automatically detecting foreign bodies in a machining production line with periodic motion scenes. The results demonstrate that this method can achieve reasonable accuracy in the detection of foreign bodies in a machining production line with periodic motion scenes.",

keywords = "foreign body detection, machine vision, periodic motion scene, shape-and size-adaptive descriptor",

author = "Lizhong Wang and Yichen Xu and Fanwu Meng",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2021 ; Conference date: 29-07-2021 Through 31-07-2021",

year = "2021",

month = jul,

day = "29",

doi = "10.1109/ICPICS52425.2021.9524093",

language = "English",

series = "2021 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "718--721",

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address = "United States",

}

Wang, L, Xu, Y & Meng, F 2021, Detection of foreign bodies in periodic motion scenes using shape-and size-adaptive descriptors. in 2021 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2021. 2021 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2021, Institute of Electrical and Electronics Engineers Inc., pp. 718-721, 2021 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2021, Shenyang, China, 29/07/21. https://doi.org/10.1109/ICPICS52425.2021.9524093

Detection of foreign bodies in periodic motion scenes using shape-and size-adaptive descriptors. / Wang, Lizhong; Xu, Yichen; Meng, Fanwu.
2021 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 718-721 (2021 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Detection of foreign bodies in periodic motion scenes using shape-and size-adaptive descriptors

AU - Wang, Lizhong

AU - Xu, Yichen

AU - Meng, Fanwu

PY - 2021/7/29

Y1 - 2021/7/29

N2 - The detection of foreign bodies in a machining production line is important for guaranteeing its stability and safety. The traditional methods for such detection either rely on manual observation, which is a time-consuming and labor-intensive process. In this paper, we present a machine vision-based method for automatically detecting foreign bodies in a machining production line with periodic motion scenes. The results demonstrate that this method can achieve reasonable accuracy in the detection of foreign bodies in a machining production line with periodic motion scenes.

AB - The detection of foreign bodies in a machining production line is important for guaranteeing its stability and safety. The traditional methods for such detection either rely on manual observation, which is a time-consuming and labor-intensive process. In this paper, we present a machine vision-based method for automatically detecting foreign bodies in a machining production line with periodic motion scenes. The results demonstrate that this method can achieve reasonable accuracy in the detection of foreign bodies in a machining production line with periodic motion scenes.

KW - foreign body detection

KW - machine vision

KW - periodic motion scene

KW - shape-and size-adaptive descriptor

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U2 - 10.1109/ICPICS52425.2021.9524093

DO - 10.1109/ICPICS52425.2021.9524093

M3 - Conference contribution

AN - SCOPUS:85115372985

T3 - 2021 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2021

SP - 718

EP - 721

BT - 2021 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2021

Y2 - 29 July 2021 through 31 July 2021

ER -

Wang L, Xu Y, Meng F. Detection of foreign bodies in periodic motion scenes using shape-and size-adaptive descriptors. In 2021 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 718-721. (2021 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2021). doi: 10.1109/ICPICS52425.2021.9524093

Detection of foreign bodies in periodic motion scenes using shape-and size-adaptive descriptors

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