Tip-on-a-chip

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

Conference paper (2018)

Authors

Yuta Kudo NEC Corporation
Hugo Zwaan Student
Toru Takahashi NEC Corporation
Rui Ishiyama NEC Corporation
P.P. Jonker Biomechatronics & Human-Machine Control - Mechanical, Maritime and Materials Engineering
Research Group
Biomechatronics & Human-Machine Control (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2018 Yuta Kudo, Hugo Zwaan, Toru Takahashi, Rui Ishiyama, P.P. Jonker
DOI
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https://doi.org/10.1145/3204949.3208116
Image recognition IoT Classification Traceability Individual identification MIDoT My dot
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Published Date

2018

Language

English

Reuse Rights

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Biomechanical Engineering

Research Group

Biomechatronics & Human-Machine Control

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.

Files

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