YOLO-v5 Variant Selection Algorithm Coupled with Representative Augmentations for Modelling Production-Based Variance in Automated Lightweight Pallet Racking Inspection
The aim of this research is to develop an automated pallet inspection architecture with two key objectives: high performance with respect to defect classification and computational efficacy, i.e., lightweight footprint. As automated pallet racking via machine vision is a developing field, the procur...
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| Hovedforfatter: | |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI AG
2023-06-01
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| Serier: | Big Data and Cognitive Computing |
| Fag: | |
| Online adgang: | https://www.mdpi.com/2504-2289/7/2/120 |
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