Custom Lightweight Convolutional Neural Network Architecture for Automated Detection of Damaged Pallet Racking in Warehousing & Distribution Centers
This paper proposes a Convolutional Neural Network–Block Development Mechanism (CNN-BDM) enabling the development of a lightweight deep learning architecture for the detection of damaged pallet-racking, within the manufacturing/warehousing environment. The developed CNN architecture consisted...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2023-01-01
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| coleção: | IEEE Access |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/10145104/ |
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