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Research on mechanical automatic food packaging defect detection model based on improved YOLOv5 algo...

Research on mechanical automatic food packaging defect detection model based on improved YOLOv5 algo...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3194483906

Research on mechanical automatic food packaging defect detection model based on improved YOLOv5 algorithm

About this item

Full title

Research on mechanical automatic food packaging defect detection model based on improved YOLOv5 algorithm

Publisher

United States: Public Library of Science

Journal title

PloS one, 2025-04, Vol.20 (4), p.e0321971

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

With the rapid development of industrial automation, traditional manual detection methods are inefficient and error-prone, which cannot meet the needs of modern production for high efficiency and high precision. Therefore, it is particularly important to develop a mechanical automatic inspection system that can automatically identify food packaging...

Alternative Titles

Full title

Research on mechanical automatic food packaging defect detection model based on improved YOLOv5 algorithm

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_3194483906

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3194483906

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0321971

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