Automated scanning and individual identification system for parts without marking or tagging

Kengo Makino; Wen Jie Duan; Rui Ishiyama; Toru Takahashi; Yuta Kudo; Pieter Jonker

doi:10.1145/3206025.3206088

Automated scanning and individual identification system for parts without marking or tagging

Kengo Makino, Wen Jie Duan, Rui Ishiyama, Toru Takahashi, Yuta Kudo, Pieter Jonker

Biomechatronics & Human-Machine Control

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

Abstract

This paper presents a fully automated system for detecting, classifying, microscopic imaging, and individually identifying multiple parts without ID-marking or tagging. The system is beneficial for product assemblers, who handle multiple types of parts simultaneously. They can ensure traceability quite easily by only placing the parts freely on the system platform. The system captures microscopic images of parts as their "fingerprints," which are matched with pre-registered images in a database to identify an individual part's information such as its serial number. We demonstrate a working prototype and interaction scenario.

Original language	English
Title of host publication	Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval (ICMR 2018)
Editors	Kiyoharu Aizawa, Michael Lew, Shin'ichi Satoh
Place of Publication	New York, NY, USA
Publisher	Association for Computing Machinery (ACM)
Pages	509-512
ISBN (Print)	978-1-4503-5046-4
DOIs	https://doi.org/10.1145/3206025.3206088
Publication status	Published - 2018
Event	ICMR 2018: ACM International Conference on Multimedia Retrieval - Yokohama, Japan Duration: 11 Jun 2018 → 14 Jun 2018

Conference

Conference	ICMR 2018: ACM International Conference on Multimedia Retrieval
Country/Territory	Japan
City	Yokohama
Period	11/06/18 → 14/06/18

Keywords

IoT
Traceability
Image recognition
Individual identification
Classification
Objects localization
Fingerprint of Things

Access to Document

10.1145/3206025.3206088

Cite this

Makino, K., Duan, W. J., Ishiyama, R., Takahashi, T., Kudo, Y., & Jonker, P. (2018). Automated scanning and individual identification system for parts without marking or tagging. In K. Aizawa, M. Lew, & S. Satoh (Eds.), Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval (ICMR 2018) (pp. 509-512). Association for Computing Machinery (ACM). https://doi.org/10.1145/3206025.3206088

Makino, Kengo ; Duan, Wen Jie ; Ishiyama, Rui et al. / Automated scanning and individual identification system for parts without marking or tagging. Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval (ICMR 2018). editor / Kiyoharu Aizawa ; Michael Lew ; Shin'ichi Satoh. New York, NY, USA : Association for Computing Machinery (ACM), 2018. pp. 509-512

@inproceedings{ba33be3a1637459b8eda518fbae88836,

title = "Automated scanning and individual identification system for parts without marking or tagging",

abstract = "This paper presents a fully automated system for detecting, classifying, microscopic imaging, and individually identifying multiple parts without ID-marking or tagging. The system is beneficial for product assemblers, who handle multiple types of parts simultaneously. They can ensure traceability quite easily by only placing the parts freely on the system platform. The system captures microscopic images of parts as their {"}fingerprints,{"} which are matched with pre-registered images in a database to identify an individual part's information such as its serial number. We demonstrate a working prototype and interaction scenario.",

keywords = "IoT, Traceability, Image recognition, Individual identification, Classification, Objects localization, Fingerprint of Things",

author = "Kengo Makino and Duan, {Wen Jie} and Rui Ishiyama and Toru Takahashi and Yuta Kudo and Pieter Jonker",

year = "2018",

doi = "10.1145/3206025.3206088",

language = "English",

isbn = "978-1-4503-5046-4",

pages = "509--512",

editor = "Kiyoharu Aizawa and Michael Lew and Shin'ichi Satoh",

booktitle = "Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval (ICMR 2018)",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

note = "ICMR 2018: ACM International Conference on Multimedia Retrieval ; Conference date: 11-06-2018 Through 14-06-2018",

}

Makino, K, Duan, WJ, Ishiyama, R, Takahashi, T, Kudo, Y & Jonker, P 2018, Automated scanning and individual identification system for parts without marking or tagging. in K Aizawa, M Lew & S Satoh (eds), Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval (ICMR 2018). Association for Computing Machinery (ACM), New York, NY, USA, pp. 509-512, ICMR 2018: ACM International Conference on Multimedia Retrieval, Yokohama, Japan, 11/06/18. https://doi.org/10.1145/3206025.3206088

Automated scanning and individual identification system for parts without marking or tagging. / Makino, Kengo; Duan, Wen Jie; Ishiyama, Rui et al.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval (ICMR 2018). ed. / Kiyoharu Aizawa; Michael Lew; Shin'ichi Satoh. New York, NY, USA: Association for Computing Machinery (ACM), 2018. p. 509-512.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Kudo, Yuta

AU - Jonker, Pieter

PY - 2018

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AB - This paper presents a fully automated system for detecting, classifying, microscopic imaging, and individually identifying multiple parts without ID-marking or tagging. The system is beneficial for product assemblers, who handle multiple types of parts simultaneously. They can ensure traceability quite easily by only placing the parts freely on the system platform. The system captures microscopic images of parts as their "fingerprints," which are matched with pre-registered images in a database to identify an individual part's information such as its serial number. We demonstrate a working prototype and interaction scenario.

KW - IoT

KW - Traceability

KW - Image recognition

KW - Individual identification

KW - Classification

KW - Objects localization

KW - Fingerprint of Things

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DO - 10.1145/3206025.3206088

M3 - Conference contribution

SN - 978-1-4503-5046-4

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BT - Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval (ICMR 2018)

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A2 - Lew, Michael

A2 - Satoh, Shin'ichi

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Makino K, Duan WJ, Ishiyama R, Takahashi T, Kudo Y, Jonker P. Automated scanning and individual identification system for parts without marking or tagging. In Aizawa K, Lew M, Satoh S, editors, Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval (ICMR 2018). New York, NY, USA: Association for Computing Machinery (ACM). 2018. p. 509-512 doi: 10.1145/3206025.3206088