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20. Machining of Ceramic Matrix Composites

Author

Du, Jinguang, primary, Zhang, Haizhen, additional, Geng, Yongmiao, additional, Ming, Wuyi, additional, He, Wenbin, additional, Ma, Jun, additional, Cao, Yang, additional, Li, Xiaoke, additional, and Liu, Kun, additional

Published
2021
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43. A comprehensive review of defect detection in 3C glass components

Author

Du Jinguang, Zhijun Chen, Wuyi Ming, Xiaoke Li, Shen Fan, Yang Cao, and Zhen Zhang

Subjects
Computational complexity theory, Computer science, Machine vision, business.industry, Applied Mathematics, 020208 electrical & electronic engineering, 010401 analytical chemistry, Feature extraction, Pattern recognition, 02 engineering and technology, Image segmentation, Condensed Matter Physics, 01 natural sciences, Neural network classifier, 0104 chemical sciences, ComputingMethodologies_PATTERNRECOGNITION, 0202 electrical engineering, electronic engineering, information engineering, Electronics, Artificial intelligence, Electrical and Electronic Engineering, business, Instrumentation, Classifier (UML)
Abstract

With the development of consumer electronics industry, it is inevitable for the industry to use machine vision instead of manual inspection. In this paper, the defect detection of 3C glass components is summarized according to the actual production process. The defects of glass components are classified in details for the first time. The causes of these defects and the optical characteristics exhibited in the detection process are also analyzed. Because the detection effect is determined by classifier, the performance of various classifiers is discussed in details under the same criterion. On the whole, the neural network classifier is obviously better than the traditional methods, and the unsupervised classifier is better than the supervised one. The current detection accuracy is about 90%, and the computational complexity of high-accuracy classifiers is large. In the future, the improvement of accuracy and the reduction of computational complexity are still the research focus.

Published
2020

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