A Novel Efficient Convolutional Neural Algorithm for Multi-Category Aliasing Hardware Recognition

When performing robotic automatic sorting and assembly operations of multi-category hardware, there are some problems with the existing convolutional neural network visual recognition algorithms, such as large computing power consumption, low recognition efficiency, and a high rate of missed detecti...

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Detalles Bibliográficos
Autores principales: Zhang, Yunzhi, Liang, Jiancheng, Lu, Qinghua, Luo, Lufeng, Zhu, Wenbo, Wang, Quan, Lin, Junmeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317917/
https://www.ncbi.nlm.nih.gov/pubmed/35891034
http://dx.doi.org/10.3390/s22145358

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317917/
https://www.ncbi.nlm.nih.gov/pubmed/35891034
http://dx.doi.org/10.3390/s22145358

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