Deep learning for automatic vision-based recognition of industrial surface defects: a survey
Automatic vision-based inspection systems have played a key role in product quality
assessment for decades through the segmentation, detection, and classification of defects …
assessment for decades through the segmentation, detection, and classification of defects …
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 …
of plastic bottles in an Industry 4.0 context, detecting surface defects to enhance product …
An Autoencoder with Convolutional Neural Network for Surface Defect Detection on Cast Components
There is unrealized potential in using automation to alleviate the visual inspection
associated with non-destructive testing in manufacturing facilities. The identification of …
associated with non-destructive testing in manufacturing facilities. The identification of …
A Common Knowledge-Driven Generic Vision Inspection Framework for Adaptation to Multiple Scenarios, Tasks, and Objects
D Zhao, F Kong, N Lv, Z Xu, F Du - Sensors, 2024 - mdpi.com
The industrial manufacturing model is undergoing a transformation from a product-centric
model to a customer-centric one. Driven by customized requirements, the complexity of …
model to a customer-centric one. Driven by customized requirements, the complexity of …
[PDF][PDF] Deep Learning for Automatic Vision-Based Recognition of Industrial Surface Defects: A Survey
D BUONGIORNO, A BRUNETTI, N LONGO - academia.edu
Automatic vision-based inspection systems have played a key role in product quality
assessment for decades through the segmentation, detection, and classification of defects …
assessment for decades through the segmentation, detection, and classification of defects …