AI Driven Automated Quality Control for Magnetic Tiles using Defect Classification
Keywords:
Keywords: Magnetic Tiles, Quality Control, Image Processing, Feature Extraction, Automated InspectionAbstract
Quality assurance of magnetic tiles is critical in industries where structural integrity and performanceare paramount. Defects such as cracks, chips, and surface irregularities can compromise productreliability and lead to operational inefficiencies or failures.
References
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Zhang H., Han J., Guan Y., and Zhang Y., A SIFT algorithm based on DOG operator, 2018 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS), Xiamen, China, 609–612,
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Published
2025-04-17
How to Cite
Birapaka John Praveen Kumar, Punnam Sriteja, Mula Bharath Simha Reddy, Nagato Vamshi Vardhan, Uppari Sriram. (2025). AI Driven Automated Quality Control for Magnetic Tiles using Defect Classification . Journal of Computational Analysis and Applications (JoCAAA), 34(4), 188–197. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2288
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