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Integration of Deep Learning Network and Robot Arm System for Rim Defect Inspection Application
Automated inspection has proven to be the most effective approach to maintaining quality in industrial-scale manufacturing. This study employed the eye-in-hand architecture in conjunction with deep learning and convolutional neural networks to automate the detection of defects in forged aluminum rim...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9144540/ https://www.ncbi.nlm.nih.gov/pubmed/35632335 http://dx.doi.org/10.3390/s22103927 |