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Antonio Fernández-Caballero

2 papers indexed

crossrefSensors2023-12-31Cited by 36

A Real-Time Automated Defect Detection System for Ceramic Pieces Manufacturing Process Based on Computer Vision with Deep Learning

Esteban Cumbajin, Nuno Rodrigues, Paulo Costa, Rolando Miragaia, Luís Frazão, Nuno Costa, et al.

Defect detection is a key element of quality control in today’s industries, and the process requires the incorporation of automated methods, including image sensors, to detect any potential defects that may occur during the manufacturing process. While there are various methods t…

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crossrefApplied Sciences2021-10-13Cited by 61

A Review on Machine and Deep Learning for Semiconductor Defect Classification in Scanning Electron Microscope Images

Francisco López de la Rosa, Roberto Sánchez-Reolid, José L. Gómez-Sirvent, Rafael Morales, Antonio Fernández-Caballero

Continued advances in machine learning (ML) and deep learning (DL) present new opportunities for use in a wide range of applications. One prominent application of these technologies is defect detection and classification in the manufacturing industry in order to minimise costs an…

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