A lightweight appearance quality assessment system based on parallel deep learning for painted car body

F Chang, M Dong, M Liu, L Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The appearance quality assessment based on defect inspection for painted car-body
surfaces is an essential work to monitor and analyze the level of paint appearance quality. In …

A mobile vision inspection system for tiny defect detection on smooth car-body surfaces based on deep ensemble learning

F Chang, M Liu, M Dong, Y Duan - Measurement Science and …, 2019 - iopscience.iop.org
Defect inspection of car-body surfaces is a crucial step for assessing the appearance quality
of car coatings. However, some problems such as uncertain imaging conditions …

Design and implementation of cloud-edge collaborative system for appearance quality detection with artificial intelligence

M ZHANG, H GAO, D YUAN, H ZHANG… - Computer Integrated …, 2023 - cims-journal.cn
Traditional appearance quality detection methods need manual intervention, and their
detection accuracy and automation level are very low, which has become a serious …

Synthetic training data generation for deep learning based quality inspection

P Gutierrez, M Luschkova, A Cordier… - … on Quality Control …, 2021 - spiedigitallibrary.org
Deep learning is now the gold standard in computer vision-based quality inspection
systems. In order to detect defects, supervised learning is often utilized, but necessitates a …

Image data assessment approach for deep learning-based metal surface defect-detection systems

HI Lin, FS Wibowo - IEEE access, 2021 - ieeexplore.ieee.org
The current trend in automated optical inspection (AOI) systems employs deep learning
models to detect defects on a metal surface. The setback of deep learning models is that …

CNN-based image quality classification considering quality degradation in bridge inspection using an unmanned aerial vehicle

GH Gwon, JH Lee, IH Kim, HJ Jung - IEEE access, 2023 - ieeexplore.ieee.org
Key information for the maintenance and diagnosis of structures including bridges can be
obtained from the processing of digital images acquired by unmanned aerial vehicle (UAV) …

DeepInspection: Deep learning based hierarchical network for specular surface inspection

Q Zhou, R Chen, B Huang, W Xu, J Yu - Measurement, 2020 - Elsevier
Automated defect detection on specular vehicle surface with limited features (of up to 0.7
mm in diameter or width) and extremely unbalanced pixel classes is a still challenge of …

Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open-Access Papers

N Hütten, M Alves Gomes, F Hölken… - Applied System …, 2024 - mdpi.com
Quality assessment in industrial applications is often carried out through visual inspection,
usually performed or supported by human domain experts. However, the manual visual …

Illumination-robust milling surface roughness machine vision inspection based on MAML++ network

R Fang, H Yi, A Shu, X Lv, S Wang - Optical Engineering, 2022 - spiedigitallibrary.org
Existing roughness machine vision inspection methods based on designed indices require
the artificial construction of features associated with roughness based on image information …

An implementation of YOLO-family algorithms in classifying the product quality for the acrylonitrile butadiene styrene metallization

YW Chen, JM Shiu - The International Journal of Advanced Manufacturing …, 2022 - Springer
In the traditional electroplating industry of Acrylonitrile Butadiene Styrene (ABS), quality
control inspection of the product surface is usually performed with the naked eye. However …