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Surface Defect Detection for Automated Tape Laying and Winding Based on Improved YOLOv5
To address the issues of low detection accuracy, slow detection speed, high missed detection rate, and high false detection rate in the detection of surface defects on pre-impregnated composite materials during the automated tape laying and winding process, an improved YOLOv5 (You Only Look Once ver...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10419610/ https://www.ncbi.nlm.nih.gov/pubmed/37569994 http://dx.doi.org/10.3390/ma16155291 |