Research on ceramic tile defect detection based on YOLOv3
by Gongfa Li; Xin Liu; Bo Tao; Du Jiang; Fei Zeng; Shuang Xu
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 21, No. 2, 2021

Abstract: Artificial intelligence is a technology that studies, simulates and expands human intelligence theory and related methods, it is the direction of modern and future science and technology development. The teaching methods of artificial intelligence courses are supposed to be different from the traditional teaching methods, but the actual investigation finds that there are still some problems in the artificial intelligence course, such as the single teaching mode, the low enthusiasm of students for studying, and the poor practical ability of students. In order to solve these issues, this paper applies project teaching methods to an artificial intelligence course, through a specific tile defect detection project to analyse. YOLOv3 algorithm is used to detect six kinds of tile defects, and the experimental results are analysed.

Online publication date: Tue, 04-Jan-2022

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