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

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

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 that can be used for...

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Bibliographic Details
Main Authors: Esteban Cumbajin, Nuno Rodrigues, Paulo Costa, Rolando Miragaia, Luís Frazão, Nuno Costa, Antonio Fernández-Caballero, Jorge Carneiro, Leire H. Buruberri, António Pereira
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Sensors
Subjects:
defect detection
deep learning
CNN
industrial surface
automatic surface inspection
quality inspection
Online Access:https://www.mdpi.com/1424-8220/24/1/232

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