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...

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Detalles Bibliográficos
Autores principales: Mao, Wei-Lung, Chiu, Yu-Ying, Lin, Bing-Hong, Wang, Chun-Chi, Wu, Yi-Ting, You, Cheng-Yu, Chien, Ying-Ren
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9144540/
https://www.ncbi.nlm.nih.gov/pubmed/35632335
http://dx.doi.org/10.3390/s22103927

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