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A Review of Automated and Intelligent Visual Inspection Using Vision System

Dr.M.S. Nagmode, R.D. Komati, Aniket Khule

Abstract


Inspection is the process of checking something against predefined set of rules and criteria. In Visual Inspection object under test is inspected based on its image captured. Visual inspection is performed to check whether object under inspection satisfies certain criteria, rules. Visual inspection based on machine vision, automatic and intelligent visual inspection systems are used for various application areas and various types of industries. It is very efficient option for inspection in mass production industries. In most of industries for quality control, quality verification inspection of products at different stages is performed. Visual Inspection System are used instead of human inspectors or along with human inspectors to perform task of inspection in many industries. The Visual Inspection System will use an image of an object under test and it will perform operation of inspection based on features extracted from image. Inspection operation will generate results which will indicate whether object under inspection is faulty or fulfills requirement. These systems helps in automation of inspection process, but these systems must be smart and intelligent for efficient, general purpose operation. In this paper review of different automatic and intelligent visual inspection systems and techniques used in them will be discussed. Techniques for different application area will be discussed and summary of them is presented.

Keywords


Visual Inspection, Vision System, Machine Vision, Visual Inspection Operations.

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References


Qiusheng Zhong, Zhong Chen, Xianmin Zhang, and Guanghua Hu,"Feature-Based Object Location of IC Pins by Using Fast Run Length Encoding BLOB Analysis", IEEE Trans. Compon. Packag. Manuf. Technol., Vol.4, pp.1887 - 1898, September 2014

N. M. Duong, M. T. Chew, S. Demidenko,Q. H. Pham, D. K. Pham, "Vision Inspection System for Pharmaceuticals", in Sensors Applications Symposium (SAS),IEEE 2014, pp. 201 - 206

Giuseppe Di Leo, Consolatina Liguori, Alfredo Paolillo et al, "Online visual inspection of defects in the assembly of electromechanical parts", Instrumentation and Measurement Technology Conference (I2MTC) Proceedings,Montevideo, IEEE 2014, pp.407 - 411

Szu-Hao Huang , Ying-Cheng Pan, "Automated visual inspection in the semiconductor industry: A survey", Elsevier Computers in Industry,Vol.66, pp. 110, July 2014

Ehsan Golkar , Anton Satria Prabuwono, "Vision Based Length Measuring System for Ceramic Tile Borders", in 4th International Conference on Electrical Engineering and Informatics (ICEEI 2013),Elsevier 2013, pp.771-777.

Panagiota Tsarouchia, George Michalosa, Sotiris Makrisa, George Chryssolouris, "Vision System for Robotic Handling of Randomly Placed Objects", in 2nd CIRP Global Web Conference,Elsevier 2013, pp. 61-66.

Chien-Chih Wang, Bernard C. Jiang, Jing-You Lin, and Chien-Cheng Chu, "Machine Vision-Based Defect Detection in IC Images Using the Partial Information Correlation Coefficient”, IEEE Trans. Semicond. Manuf. ,vol. 26, no. 3 pp.378-384, AUGUST 2013

Md. Sharifur Rahman, Md. Rafiqul Islam, "Counting objects in an image by Marker Controlled Watershed Segmentation and Thresholding", in 3rd International Advance Computing Conference (IACC),IEEE 2013, pp. 1251- 1256.

Feng Xie, Anh Hoang Dau, Alexandra L. Uitdenbogerd, Andy Song, "Evolving PCB Visual Inspection Programs using Genetic Programming”, in 28th International Conference on Image and Vision Computing,New Zealand, IEEE2013, pp.406-411

J. C. Gonzalez Islas, D. de J. Cano Tejeda, J. Suarez Cansino, V. Lopez Morales, "Intelligent System for Inspection and Selection of Parts in a Manufacturing Cell", in International Conference on Information, Communication and Automation Technologies (ICAT),IEEE 2013, pp.1-6

Zhi Sheng Chowa, Melanie Po-Leen Ooia, Ye Chow Kuanga, Serge Demidenkob, "Automated Visual Inspection System for Mass Production of Hard Disk Drive Media", in International Symposium on Robotics and Intelligent Sensors,Elsevier 2012, pp. 450-457

Jun-Oh Kim, Youn-Ae Lee, and Tae-Hyoung Park, "Automatic Extraction of Component Inspection Regions from Printed Circuit Board" ,in International Symposium on System Integration,IEEE 2012 , pp.871 - 876

J. Suriya Prakash, K. Annamalai Vignesh, C. Ashok, R. Adithyan, "Multi Class Support Vector Machines Classifier for Machine Vision Application", in International Conference on Machine Vision and Image Processing (MVIP),IEEE 2012, pp.197-199

J. Rejc, F. Kovacic, A. Trpin, I. Turk, "The mechanical assembly dimensional measurements with the automated visual inspection system", Elsevier Expert Systems with Applications,vol.38, issue8 pp.1066510675, Auguest 2011

Leila Yazdi, Anton Satria Prabuwono, Ehsan Golkar, "Feature Extraction Algorithm for Fill Level and Cap Inspection in Bottling Machine" ,in International Conference on Pattern Analysis and Intelligent Robotics, Putrajaya, Malaysia IEEE 2011, pp.47-52.

Rungkarn Siricharoenchai, Wasin Sinthupinyo,"Using Efficient Discriminative Algorithm in Automated Visual Inspection of Feed", in 3rd International Conference on Communication Software and Networks (ICCSN),IEEE 2011, pp.95-99

T.Kalaichelvi and Dr.P.Rangarajan, "Automated Intelligent Machine Vision System for Monitoring the Image", in International Conference on Signal and Image Processing (ICSIP),IEEE2010, pp.462-466

Mohammed H. Hassan, Safaa L. Diab, " Visual inspection of products with geometrical quality characteristics of known tolerances" , Elsevier Ain Shams Engineering Journal,vol. 1,pp. 7984, June 2010.

Haider sh. Hashim, Siti Norul Huda Sheikh Abdullah, Anton Satria Prabuwono, "Automated Visual Inspection for Metal Parts Based on Morphology and Fuzzy Rules" ,in International Conference on Computer Applications and Industrial Electronics,IEEE 2010, pp.527 - 531

Jun Sun and Qiao Sun, "A Support Vector Machine Based Online Learning Approach for Automated Visual Inspection", in Canadian Conference on Computer and Robot Vision,IEEE 2009, pp.192-199

Yasser Hawari, Momoh J.E. Salami, Abdurazzag Ali Aburas, "Fuzzy Based Technique for Microchip Lead Inspection Using Machine Vision" ,in Proceedings of the International Conference on Computer and Communication Engineering ,IEEE2008, pp.1222 - 1226

Mehdy Bohlool, Soroosh Rahimi Taghanaki, "Cost-efficient Automated Visual Inspection System for small manufacturing industries based on SIFT" ,in 23rd International Conference on Image and Vision Computing, New Zealand,IEEE 2008, pp.1 - 6

Habibullah Akbar, Anton Satria Prabuwono, "The Design and Development of Automated Visual Inspection System for Press Part Sorting" ,in International Conference on Computer Science and Information Technology, IEEE 2008, pp.683-686

Yuhki Shiraishi and Fumiaki Takeda, " Development of a Portable Automatic Inspection System for Printed Labels Using a Web Camera" , in Eighth International Conference on Intelligent Systems Design and Applications,IEEE 2008, pp.381-385.

Yu Shi, Fabio Dias Real, "Smart Cameras: Fundamentals and Classification”, in Smart Cameras,Sydney, Australia, Springer Science+Business Media, 2010, ch2, sec2.3, pp.27-34.

Jay-Shing Roger Jang, Chuen-Tsai Sun, Eiji Mizutani, "Introduction to Neuro-Fuzzy and Soft-computing" ,in Neuro-Fuzzy and Soft Computing A Computational Approach to Learning and Machine Intelligence,Upper Saddle River, Prentice-Hall, 1997, ch1, pp.1-7.


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