SSD-based carton packaging quality defect detection system for the logistics supply chain

• Autorzy: Song Bing , Wang Yan , Lou Li-Ping

Identyfikatory

DOI

10.2478/eces-2023-0011

• Języki publikacji: EN

Abstrakty

EN

With the deepening of green and sustainable development and the rapid development of the social economy, the modern logistics industry has also developed to an unprecedented level. In the logistics supply chain, due to the high value of the items inside the arrival carton, appearance inspection must be carried out before warehousing. However, manual inspection is slow and ineffective, resulting in the waste of manpower and packaging carton resources, which is not conducive to sustainable development. To address the above problems, this paper designs a logistics supply chain carton packaging quality defect detection system based on improved Single Shot MultiBox Detector (SSD) in the context of green sustainable development. The Implicit Feature Pyramid Network (IFPN) is introduced into SSD to improve the feature extraction ability of the model; the multiscale attention mechanism is introduced to collect more feature information. The experiment shows that the mAP and FPS of the system on the self-built data set reach 0.9662 and 36 respectively, which can realise the detection of the appearance defects of logistics cartons and help promote green sustainable development.

Słowa kluczowe

EN

green development; sustainable development; logistics supply chains; Single Shot MultiBox Detector; SSD; Feature Pyramid Network; attention mechanism

PL

ekorozwój; zrównoważony rozwój; logistyczny łańcuch dostaw; SSD; mechanizm uwagi

• Wydawca: Towarzystwo Chemii i Inżynierii Ekologicznej
• Czasopismo: Ecological Chemistry and Engineering. S
• Rocznik: 2023
• Tom: Vol. 30, nr 1
• Strony: 117--123
• Opis fizyczny: Bibliogr. 16 poz., tab.

Twórcy

autor

Song Bing

• Yiwu Industrial & Commercial College, Yiwu 322000, Zhejiang, China

• https://orcid.org/0000-0001-8222-9519

autor

Wang Yan

• iujiang University, Jiujiang 332005, Jiangxi, China

• https://orcid.org/0009-0007-0642-4356

autor

Lou Li-Ping

• Zhejiang Institute of Mechanical and Electrical Technician, Yiwu 322000, Zhejiang, China

• https://orcid.org/0009-0005-3187-4696

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).