Tip-on-a-chip

Automatic dotting with glitter ink pen for individual identification of tiny parts

Conference Paper (2018)
Author(s)

Yuta Kudo (NEC Corporation)

Hugo Zwaan (Student TU Delft)

Toru Takahashi (NEC Corporation)

Rui Ishiyama (NEC Corporation)

Pieter Jonker (TU Delft - Biomechatronics & Human-Machine Control)

Research Group
Biomechatronics & Human-Machine Control
Copyright
© 2018 Yuta Kudo, Hugo Zwaan, Toru Takahashi, Rui Ishiyama, P.P. Jonker
DOI related publication
https://doi.org/10.1145/3204949.3208116
More Info
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Publication Year
2018
Language
English
Copyright
© 2018 Yuta Kudo, Hugo Zwaan, Toru Takahashi, Rui Ishiyama, P.P. Jonker
Research Group
Biomechatronics & Human-Machine Control
Pages (from-to)
502-505
ISBN (electronic)
978-1-4503-5192-8
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

This paper presents a new identification system for tiny parts that have no space for applying conventional ID marking or tagging. The system marks the parts with a single dot using ink containing shiny particles. The particles in a single dot naturally form a unique pattern. The parts are then identified by matching microscopic images of this pattern with a database containing images of these dots. In this paper, we develop an automated system to conduct dotting and image capturing for massproduced parts. Experimental results show that our "Tip-on-achip" system can uniquely identify more than ten thousand chip capacitors.

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