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Defect Inspection Using Modified YoloV4 on a Stitched Image of a Spinning Tool
In Industry 4.0, automation is a critical requirement for mechanical production. This study proposes a computer vision-based method to capture images of rotating tools and detect defects without the need to stop the machine in question. The study uses frontal lighting to capture images of the rotati...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181639/ https://www.ncbi.nlm.nih.gov/pubmed/37177683 http://dx.doi.org/10.3390/s23094476 |