An Automated Vision-Based Inspection System for Metallic Lock Surface Defects Using a Transformer-Enhanced U-Net
- DOI
- 10.3390/s26092608
- Published
- 2026-04-23
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26092608,
title = {An Automated Vision-Based Inspection System for Metallic Lock Surface Defects Using a Transformer-Enhanced U-Net},
author = {Hong-Dar Lin and Shun-Yan Li and Chou-Hsien Lin},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26092608},
url = {https://doi.org/10.3390/s26092608}
}RIS
TY - JOUR TI - An Automated Vision-Based Inspection System for Metallic Lock Surface Defects Using a Transformer-Enhanced U-Net AU - Hong-Dar Lin AU - Shun-Yan Li AU - Chou-Hsien Lin PY - 2026 JO - Sensors DO - 10.3390/s26092608 UR - https://doi.org/10.3390/s26092608 ER -
APA
Lin, H., Li, S., & Lin, C. (2026). An Automated Vision-Based Inspection System for Metallic Lock Surface Defects Using a Transformer-Enhanced U-Net. Sensors. https://doi.org/10.3390/s26092608
Source records
- crossref · retrieved 2026-09-25T01:16:44.896Z