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 language | English |
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Title of host publication | Proceedings of the 9th ACM Multimedia Systems Conference (MMSys 2018) |
Place of Publication | New York, NY , USA |
Publisher | Association for Computing Machinery (ACM) |
Pages | 502-505 |
ISBN (Electronic) | 978-1-4503-5192-8 |
DOIs | |
Publication status | Published - 2018 |
Event | MMSys 2018: 9th ACM Multimedia Systems Conference - Amsterdam, Netherlands Duration: 12 Jun 2018 → 15 Jun 2018 |
Conference
Conference | MMSys 2018: 9th ACM Multimedia Systems Conference |
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Country/Territory | Netherlands |
City | Amsterdam |
Period | 12/06/18 → 15/06/18 |
Keywords
- Classification
- Image recognition
- Individual identification
- IoT
- MIDoT
- My dot
- Traceability