Acoustic Resonance Testing of Glass IV Bottles
| Autor: | Ivan Kraljevski, Matthias Wolff, Constanze Tschoepe, Yong Chul Ju, Frank Duckhorn |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
business.industry
Computer science Deep learning Acoustics 020208 electrical & electronic engineering 02 engineering and technology Nondestructive testing otorhinolaryngologic diseases 0202 electrical engineering electronic engineering information engineering Detection performance 020201 artificial intelligence & image processing Artificial intelligence business Acoustic resonance |
| Zdroj: | IFIP Advances in Information and Communication Technology ISBN: 9783030491857 AIAI (2) |
| DOI: | 10.1007/978-3-030-49186-4_17 |
| Popis: | In this paper, acoustic resonance testing on glass intravenous (IV) bottles is presented. Different machine learning methods were applied to distinguish acoustic observations of bottles with defects from the intact ones. Due to the very limited amount of available specimens, the question arises whether the deep learning methods can achieve similar or even better detection performance compared with traditional methods. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|