Tip-on-a-chip: Automatic dotting with glitter ink pen for individual identification of tiny parts

Yuta Kudo, Hugo Zwaan, Toru Takahashi, Rui Ishiyama, Pieter Jonker

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

3 Citations (Scopus)
30 Downloads (Pure)

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.

Original languageEnglish
Title of host publicationProceedings of the 9th ACM Multimedia Systems Conference (MMSys 2018)
Place of PublicationNew York, NY , USA
PublisherAssociation for Computing Machinery (ACM)
Pages502-505
ISBN (Electronic)978-1-4503-5192-8
DOIs
Publication statusPublished - 2018
EventMMSys 2018: 9th ACM Multimedia Systems Conference - Amsterdam, Netherlands
Duration: 12 Jun 201815 Jun 2018

Conference

ConferenceMMSys 2018: 9th ACM Multimedia Systems Conference
CountryNetherlands
CityAmsterdam
Period12/06/1815/06/18

Keywords

  • Classification
  • Image recognition
  • Individual identification
  • IoT
  • MIDoT
  • My dot
  • Traceability

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