Automated Scanning and Individual Identification System for Parts without Marking or Tagging
| Autor: | Wenjie Duan, Kengo Makino, Toru Takahashi, Rui Ishiyama, Pieter Jonker, Yuta Kudo |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Traceability Computer science business.industry 02 engineering and technology Identification system 03 medical and health sciences 030104 developmental biology Fully automated 0202 electrical engineering electronic engineering information engineering Microscopic imaging 020201 artificial intelligence & image processing Product assemblers Computer vision Artificial intelligence business Internet of Things |
| Zdroj: | ICMR |
| DOI: | 10.1145/3206025.3206088 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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