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...

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Detalles Bibliográficos
Autores principales: Wen, Liwei, Li, Shihao, Ren, Jiajun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10419610/
https://www.ncbi.nlm.nih.gov/pubmed/37569994
http://dx.doi.org/10.3390/ma16155291

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