<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</abstract>

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.

SSD-Based Carton Packaging Quality Defect Detection System for the Logistics Supply Chain

Ecological Chemistry and Engineering S

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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...

SSD-Based Carton Packaging Quality Defect Detection System for the Logistics Supply Chain

Online veröffentlicht: 10. Apr. 2023

Seitenbereich: 117 - 123

DOI: https://doi.org/10.2478/eces-2023-0011

Schlüsselwörter
green and sustainable development, logistics supply chain, SSD, implicit Feature Pyramid Network, multiscale attention mechanism

© 2023 Bing Song et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

SSD-Based Carton Packaging Quality Defect Detection System for the Logistics Supply Chain

Online veröffentlicht: 10. Apr. 2023

Seitenbereich: 117 - 123

DOI: https://doi.org/10.2478/eces-2023-0011

Schlüsselwörtergreen and sustainable development, logistics supply chain, SSD, implicit Feature Pyramid Network, multiscale attention mechanism

© 2023 Bing Song et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
green and sustainable development, logistics supply chain, SSD, implicit Feature Pyramid Network, multiscale attention mechanism