The Application of Machine Vision in Defect Detection Systems
Download PDF
$currentUrl="http://$_SERVER[HTTP_HOST]$_SERVER[REQUEST_URI]"

Keywords

Machine vision
Defect detection system
Image preprocessing

DOI

10.26689/jera.v9i2.10009

Submitted : 2025-03-03
Accepted : 2025-03-18
Published : 2025-04-02

Abstract

With the rapid development of computer vision technology, artificial intelligence algorithms, and high-performance computing platforms, machine vision technology has gradually shown its great potential in automated production lines, especially in defect detection. Machine vision technology can be applied in many industries such as semiconductor, automobile manufacturing, aerospace, food, and drugs, which can significantly improve detection efficiency and accuracy, reduce labor costs, improve product quality, enhance market competitiveness, and provide strong support for the arrival of Industry 4.0 era. In this article, the concept, advantages, and disadvantages of machine vision and the algorithm framework of machine vision in the defect detection system are briefly described, aiming to promote the rapid development of industry and strengthen China’s industry.

References

Li X, 2024, Research on Fabric Defect Detection System based on Deep Learning, dissertation, Heilongjiang University.

Tao N, 2024, Research on Deep Learning-based Towel Defect Visual Detection Algorithm and its Application, dissertation, Hebei University.

Huo Y, 2024, Design of Flaw Detection System for Glass Production Line, dissertation, North University of China.

Hu B, 2023, Research and System Implementation of Intelligent Flaw Detection Method for Cloth, dissertation, Jishou University.

Jiang K, 2023, Flaw Detection System of Wine Box Product Label based on deep Learning, dissertation, Nanjing University of Information Science and Technology.

Xiao J, Guo H, Wang N, 2019, Design of Towel Defect Detection System based on Convolutional Neural Network. Computer Integrated Manufacturing Systems, 30(11): 3977–3983.

Zhu H, 2021, Research on Fabric Defect Detection System based on Machine Vision, dissertation, South China University of Technology.

Guan Z, 2021, Research on Defect Detection Technology of Automobile Instrument based on Machine Vision and Deep Learning, dissertation, Jilin University.

Li L, 2021, Flaw Detection System of Glass Panel based on Industrial Vision, dissertation, Taiyuan University of Technology.

Tang C, 2021, Development of Wheel Hub Defect Detection System based on Machine Vision, dissertation, Zhejiang Normal University.

Cheng Y, 2021, Research on Yarn Defect Detection System based on Fusion Sensing, dissertation, Fujian University of Technology.

Yang Y, 2021, Flaw Detection of Warp Knitting Fabric based on Digital Image Processing, dissertation, China University of Geosciences (Beijing).

Zhu Q, 2021, Research and Application of Wine Bottle Defect Detection System based on Machine Vision, dissertation, Qingdao University of Science and Technology.

Hou Y, 2021, Design of TFT Screen Defect Detection System based on Deep Learning, dissertation, Beijing University of Posts and Telecommunications.

Liu Y, 2021, Research on Defect Detection of Industrial Steel based on Deep Learning, dissertation, Anhui University of Civil Engineering and Architecture.