A review and analysis of automatic optical inspection and quality monitoring methods in electronics industry

M Abd Al Rahman, A Mousavi - Ieee Access, 2020 - ieeexplore.ieee.org
Electronics industry is one of the fastest evolving, innovative, and most competitive
industries. In order to meet the high consumption demands on electronics components …

[HTML][HTML] A review on pavement distress and structural defects detection and quantification technologies using imaging approaches

C Chu, L Wang, H Xiong - Journal of Traffic and Transportation …, 2022 - Elsevier
Pavement distress detection (PDD) plays a vital role in planning timely pavement
maintenance that improves pavement service life. In order to promote the development of …

A noise robust method based on completed local binary patterns for hot-rolled steel strip surface defects

K Song, Y Yan - Applied Surface Science, 2013 - Elsevier
Automatic recognition method for hot-rolled steel strip surface defects is important to the
steel surface inspection system. In order to improve the recognition rate, a new, simple, yet …

Multispectral visual detection method for conveyor belt longitudinal tear

C Hou, T Qiao, H Zhang, Y Pang, X Xiong - Measurement, 2019 - Elsevier
As an important part of modern coal mine production, conveyor belts are widely used in the
coal collection and transportation. In order to ensure the safe operation of the coal mine …

The conveyor belt longitudinal tear on-line detection based on improved SSR algorithm

J Li, C Miao - Optik, 2016 - Elsevier
The longitudinal tear failure of conveyor belt is one of the important reasons which leads to
major security incidents, such as, production halts, transporting materials losses, equipment …

Fusion of multi-light source illuminated images for effective defect inspection on highly reflective surfaces

G Fu, S Jia, W Zhu, J Yang, Y Cao, MY Yang… - Mechanical Systems and …, 2022 - Elsevier
It is observed that a human inspector can obtain better visual observations of surface defects
via changing the lighting/viewing directions from time to time. Accordingly, we first build a …

Recognition of surface defects on steel sheet using transfer learning

J Fu, X Zhu, Y Li - arXiv preprint arXiv:1909.03258, 2019 - arxiv.org
Automatic defect recognition is one of the research hotspots in steel production, but most of
the current methods mainly extract features manually and use machine learning classifiers …

Automatic inspection system of surface defects on optical IR-CUT filter based on machine vision

Y Liu, F Yu - Optics and Lasers in Engineering, 2014 - Elsevier
The paper presents an automatic surface defects inspection system for optical Infrared Cut-
off (IR-CUT) filter, which is applied in all kinds of color cameras and video devices. The …

Assessment of close-range photogrammetry for the low cost development of 3D models of car bodywork components

A Petruccioli, F Gherardini, F Leali - International Journal on Interactive …, 2022 - Springer
Close-range photogrammetry (C-RP) is a widespread and efficient technology to obtain
digital models of physical objects. Typical limitations as sharped geometry, shiny surface …

A machine vision system for defect characterization on transparent parts with non-plane surfaces

S Satorres Martínez, J Gómez Ortega… - Machine Vision and …, 2012 - Springer
This contribution presents a machine vision system capable of revealing, detecting and
characterizing defects on non-plane transparent surfaces. Because in this kind of surface …