Real-Time Foreign Object and Production Status Detection of Tobacco Cabinets Based on Deep Learning
Real-Time Foreign Object and Production Status Detection of Tobacco Cabinets Based on Deep Learning
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Publisher
Basel: MDPI AG
Journal title
Language
English
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Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Visual inspection plays an important role in industrial production and can detect product defects at the production stage to avoid major economic losses. Most factories mainly rely on manual inspection, resulting in low inspection efficiency, high costs, and potential safety hazards. A real-time production status and foreign object detection framew...
Alternative Titles
Full title
Real-Time Foreign Object and Production Status Detection of Tobacco Cabinets Based on Deep Learning
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Author / Creator
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TN_cdi_doaj_primary_oai_doaj_org_article_493f3f44e0794098bf2c66503b708e0d
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_493f3f44e0794098bf2c66503b708e0d
Other Identifiers
ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app122010347
