Listar por autor "2611063ac86fbc005062d4c59b42dda3"

Mostrando ítems 1-3 de 3

Anomaly Detection and Automatic Labeling for Solar Cell Quality Inspection Based on Generative Adversarial Network

Balzategui, Julen; Eciolaza, Luka; Maestro-Watson, Daniel (MDPI, 2021)

Quality inspection applications in industry are required to move towards a zero-defect manufacturing scenario, with non-destructive inspection and traceability of 100% of produced parts. Developing robust fault detection ...
Deep Learning Based Methodology For The Development Of Industrial Quality Inspection Systems

Balzategui, Julen (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2022)

In recent years, the manufacturing industry has gone through what has been called the fourth industrial revolution or Industry 4.0. Apart from still automating industrial processes, the revolution has as well brought new ...
Deflectometric data segmentation for surface inspection: a fully convolutional neural network approach

Maestro-Watson, Daniel; Balzategui, Julen; Eciolaza, Luka; Arana-Arexolaleiba, Nestor (SPIE, 2020)

The purpose of this paper is to explore the use of fully convolutional neural networks (FCN) to perform a semantic segmentation of deflectometric recordings for quality control of reflective surfaces. The proposed method ...