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Real-time flatness inspection of rolled products based on optical laser triangulation and three-dimensional surface reconstruction

Julio Molleda
2010 Journal of Electronic Imaging (JEI)  
We present a low-cost flatness inspection system based on optical triangulation by means of a laser stripe emitter and a CMOS matrix camera, designed to be part of an online flatness control system.  ...  Flatness measurements carried out over steel strips are evaluated quantitatively and qualitatively. Moreover, the real-time performance of the proposed system is analyzed.  ...  Acknowledgments This work was partially supported by European Union funds through the European Coal and Steel Community program under Contract No. ECSC/04/RFS/CR/04016.  ... 
doi:10.1117/1.3455987 fatcat:kowi2b2um5duzhlem4y3eocx6i

Review of vision-based steel surface inspection systems

Nirbhar Neogi, Dusmanta K Mohanta, Pranab K Dutta
2014 EURASIP Journal on Image and Video Processing  
The review covers overall aspects of automatic steel surface defect detection and classification systems using vision-based techniques.  ...  To ensure stringent requirements of customers, automated vision-based steel surface inspection techniques have been found to be very effective and popular during the last two decades.  ...  Availability of research publications on automated vision-based steel surface inspection Availability of the published literature on steel surface inspection mostly consists of research work done at various  ... 
doi:10.1186/1687-5281-2014-50 fatcat:4gy3nk4xn5gqvkqiq656xgivmq

Integrated imaging and vision techniques for industrial inspection: a special issue on machine vision and applications

Zheng Liu, Hiroyuki Ukida, Pradeep Ramuhalli, David S. Forsyth
2010 Machine Vision and Applications  
Imaging-and vision-based techniques play an important role in industrial inspection.  ...  The purpose of this special issue is to highlight recent advances and demonstrate the successful applications of integrated imaging and vision technologies in industrial inspection.  ...  Acknowledgments The guest editors of this special issue would like to thank all anonymous reviewers for their time and efforts in reviewing the submissions.  ... 
doi:10.1007/s00138-010-0277-9 fatcat:7zkdkbhfzff6vfkyxyu5qc6mnm

A fast and robust decision support system for in-line quality assessment of resistance seam welds in the steelmaking industry

Julio Molleda, Juan L. Carús, Rubén Usamentiaga, Daniel F. García, Juan C. Granda, José L. Rendueles
2012 Computers in industry (Print)  
Machine vision systems for weld inspection, which are not affected by electromagnetical noise and can be used in-line, only detect defects on the surface of the weld while internal defects are unnoticed  ...  The system was designed for an RSEW process of two galvanizing lines of steel strips and one tin manufacturing line.  ... 
doi:10.1016/j.compind.2012.01.003 fatcat:wys2snt3tngutfwic6hlslgemm

Research Progress of Automated Visual Surface Defect Detection for Industrial Metal Planar Materials

Xiaoxin Fang, Qiwu Luo, Bingxing Zhou, Congcong Li, Lu Tian
2020 Sensors  
planar material products of steel, aluminum, copper plates and strips.  ...  The computer-vision-based surface defect detection of metal planar materials is a research hotspot in the field of metallurgical industry.  ...  [146] developed a plane steel surface detection system based on multispectral photometric stereo vision technology.  ... 
doi:10.3390/s20185136 pmid:32916943 fatcat:qele6iuawnayrkjwywhkhjrmae

X-SDD: A New Benchmark for Hot Rolled Steel Strip Surface Defects Detection

Xinglong Feng, Xianwen Gao, Ling Luo
2021 Symmetry  
Therefore, further research is needed on how to apply deep learning to the actual detection of defects on the surface of hot rolled steel strip.  ...  In this paper, we proposed a hot rolled steel strip defect dataset called Xsteel surface defect dataset (X-SDD) which contains seven typical types of hot rolled strip defects with a total of 1360 defect  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/sym13040706 fatcat:ko5imevqj5clzcmaujs5gtbmlm

Key Technologies of Steel Plate Surface Defect Detection System Based on Artificial Intelligence Machine Vision

Bin Xue, Zhisheng Wu
2021 Wireless Communications and Mobile Computing  
The surface defect detection method based on machine vision has the characteristics of high accuracy, fast processing speed, and intelligent processing, which is the main trend of surface defect detection  ...  For a long time, traditional manual inspection methods cannot meet actual production needs, so in-depth research on steel surface defect inspection systems has become the consensus of today's steel companies  ...  This paper analyzes the design of the steel strip surface defect detection system based on machine vision.  ... 
doi:10.1155/2021/5553470 doaj:c32e2d40e5b04e9294e0e1b05df85774 fatcat:vf4nvitj6vh7nf6b22bsagxxxu

Research Progress of Visual Inspection Technology of Steel Products—A Review

Xiaohong Sun, Jinan Gu, Shixi Tang, Jing Li
2018 Applied Sciences  
Therefore, the purpose of this article is to study the latest developments in steel inspection relating to the detected object, system hardware, and system software, existing problems of current inspection  ...  At present, visual inspection technology based on image processing has an absolute advantage because of its intuitive nature, convenience, and efficiency.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app8112195 fatcat:g2cl62arh5bnlg76fesmldhlja

Uneven illumination surface defects inspection based on convolutional neural network [article]

Hao Wu, Yulong Liu, Wenbin Gao, Xiangrong Xu
2023 arXiv   pre-print
Surface defect inspection based on machine vision is often affected by uneven illumination.  ...  In order to improve the inspection rate of surface defects inspection under uneven illumination condition, this paper proposes a method for detecting surface image defects based on convolutional neural  ...  The surface defect inspection technology based on machine vision has gradually become a research hotspot recently, and there have been many researches and applications [1] [2] [3] .  ... 
arXiv:1905.06683v3 fatcat:wri7lsyvxjcolcsderz3m43doe

Energy Saving Improvement of Automatic Inspection System for Coated Steel Coils

Chien-Yuan Liu, Chun-Fu Yang, Jhong-Ting Yang, Shinn-Horng Chen, Cheng-Yi Chen
2017 Innovative Computing Information and Control Express Letters, Part B: Applications  
Automatic inspection system is an important tool used in the manufacturing of steel strips.  ...  Using high resolution CCD cameras, the system further improves the accuracy of the inspection system up to the resolution of 0.39 mm when inspecting 1600 mm steel strips.  ...  In [4] , mechanical vision and magnetic imaging were adopted as the detection system for inspecting surface defects over stainless steel line.  ... 
doi:10.24507/icicelb.08.01.51 fatcat:ote6sqrqkzb7lfq5sa2ltgzcl4

A comparative study of image processing thresholding algorithms on residual oxide scale detection in stainless steel production lines

Juan Miguel Cañero-Nieto, José Francisco Solano-Martos, Francisco Martín-Fernández
2019 Procedia Manufacturing  
This is a defect that can remain in the surface of stainless steel coils after an incomplete pickling process in a production line.  ...  A system based on conventional area camera with a special lighting was installed and fully integrated in an annealing and pickling line for model testing purposes.  ...  ., management for supporting this investigation and the Information Systems and Quality Control departments for its help and essential suggestions offered in this research.  ... 
doi:10.1016/j.promfg.2019.07.049 fatcat:vcvcwkecnrddzlksqsjklydsai

Investigation of Different Algorithms for Surface Defects of Steel Sheet for Quality

Elham Pishyar, Mehran Emadi
2016 International Journal of Computer Applications  
In the process of inspection and quality control of steel sheets which is considered as an important issue in the metal industry surface defects of metals is one of the reasons that reduces the quality  ...  of products, also the detection of different defects in raw metals with the naked eye is very difficult and given that in recent years, automatic surface inspection system has made remarkable progress  ...  Artificial Neural Networks Computational systems and methods are based on machine vision and are modeled of way of biological nervous system and human brain function to process data and information.  ... 
doi:10.5120/ijca2016911428 fatcat:v54qfeqibzexnhs7nof4xgteay

A Robust Automated Vision Based Filamentous Steel Strip Crack Detection System Based on Neuron Model Segmentation

2020 International journal of recent technology and engineering  
Amongst major steel strip crack detection approaches vision based techniques have found potential; Filamentous crack which is caused due to fatigue or strain is fine-grained and thin and hence highly difficult  ...  strip surface cracks  ...  CONCLUSION In this paper, a highly robust vision based steel strip surface crack detection system has been developed.  ... 
doi:10.35940/ijrte.f8368.038620 fatcat:3o5x7v4y5jda5pgcdmhacsdlqi

Application of Innovative Methods of Predictive Control in Projects Involving Intelligent Steel Processing Production Systems

Jozef Svetlík, Peter Malega, Vladimír Rudy, Ján Rusnák, Juraj Kováč
2021 Materials  
This paper describes the enhancement of the existing predictive system of quality management in the processes of metallurgic manufacturing. Specifically, it addresses steel-strip manufacturing.  ...  The two-step evaluation enables a more detailed focus on a particular defect and its position on the strip.  ...  [4] resulted in a novel classification model that improved the least-squares support vector machine. It has found its application in detecting defects on the surface of steel plates.  ... 
doi:10.3390/ma14071641 pmid:33801618 fatcat:2ijiceafzvhmvanrovzk5tsxbq

Continuous Casting and Rolling Technology at MKM Mansfelder Kupfer und Messing GmbH – Optimisation of the Surface Quality for Conti-M® Strip

Klaus Dieter Palm, Hendrik Busch, Axel Dusdorf
2016 Materials Science Forum  
We will present a process control system and the impact it had in the optimisation of the surface quality.  ...  quality of milled strips.  ...  Surface Inspection Parsytec is a computerized surface inspection system from ISRA Vision Parsytec (Fig. 3) , which allows surface defect detection and defect classification -such as chips, scale residues  ... 
doi:10.4028/www.scientific.net/msf.854.255 fatcat:g2zqvzq3urduhbluvtzqctducq
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