A Deep Learning-Based Framework for Visual Inspection of Plastic Bottles

A Deep Learning-Based Framework for Visual Inspection of Plastic Bottles

This paper presents a deep learning-based framework for automating the visual inspection of plastic bottles in an Industry 4.0 context, detecting surface defects to enhance product quality. Our contributions include the acceleration of model development through knowledge transfer learning, an invent...

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Bibliographic Details
Main Authors: Majida Kazmi, Basra Hafeez, Fakhra Aftab, Jamal Shahid, Saad Ahmed Qazi
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Industrial automation
visual inspection
defect detection
knowledge transfer learning
deep convolution neural network
accuracy to size ratio
Online Access:https://ieeexplore.ieee.org/document/10305155/

Internet

https://ieeexplore.ieee.org/document/10305155/

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