This line focuses on applying AI in industrial environments for this strategic line, especially for quality control through 3D inspection. It aims to improve industrial processes such as in-line inspection, early detection of defects in the production environment, increasing product quality, and reducing material waste. Machine learning, pattern recognition, and metrology techniques are applied to achieve these objectives, ensuring quality and accuracy standards beyond the reach of traditional industry.

Ana Gómez González, Rafael Espadas, Ignacio Trojaola, Ane Blázquez, José Ferreira, Jorge Calado, Dejan Štepec, Dragan Radolović, Juan Carlos Pérez Cortés, Nicolás García Sastre. (2024).
AI-based solutions for Industrial Equipment Use.
I-ESA’24 conference, .
Pau Garrigues Carbó, Mauro Fabrizioli, Javier Pérez Soler, Miguel Sanchis Hernández, Alessandro Liani, Juan Carlos Pérez Cortés. (2024).
Comparative Analysis of 2D and 3D Visual Inspection Techniques for Precision Quality Assessment in Coffee Capsules.
I-ESA’24 conference, .
Alberto Pérez Jiménez, Javier Pérez Soler, Juan Carlos Pérez Cortés, José Luis Guardiola García. (2024).
Alignment and Improvement of Shape-From-Silhouette Reconstructed 3D Objects.
IEEE Access, 76975-76985.
ISBN:2169-3536
https://doi.org/10.1109/ACCESS.2024.3407341
Javier Pérez Soler, José Luis Guardiola García, Alberto Pérez Jiménez, Pau Garrigues Carbó, Nicolás García Sastre, Juan Carlos Pérez Cortés. (2023).
Optimal coherent point selection for 3D quality inspection from silhouette-based reconstructions..
Mathematics 11(21), 4419.
https://doi.org/10.3390/math11214419
Javier Pérez Soler, Nicolás García Sastre, Andrés Larroza Santacruz, Victor Sevilla Nuñez, Miraç Can Yuksel, Santiago Gálvez Settier, Juan Carlos Pérez Cortés. (2023).
Advancing Towards Zero-Defect Manufacturing in the Plastic Injection Industry with Global and Local Explainability Approaches.
IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society 2023(49), .
ISBN:979-8-3503-3182-0, 2577-1647
https://doi.org/10.1109/IECON51785.2023.10311879
David Millán Escrivá, Javier Tendillo Ruiz, Pau Garrigues Carbó, Andrés Martín Larroza Santacruz, Guillermo Amat Gomariz, Javier Pérez Soler, José Luis Guardiola García, Juan Carlos Pérez Cortés. (2023).
Computer Vision on the Edge to Reduce Network Bandwidth Consumption and Computing Resources in Multi-view 3D Industrial Inspection without Hidden Surfaces.
Journal of Signal Processing Systems, 1-12.
https://doi.org/10.1007/s11265-023-01844-0
Omar del-Tejo-Catala, Jose-Luis Guardiola, Javier Pérez, David Millán Escrivá, Juan-Carlos Perez-Cortes, Alberto J. Perez. (2023).
Probabilistic Pose Estimation From Multiple Hypotheses.
IEEE Access 11, 64507 - 64517.
ISBN:2169-3536
https://doi.org/10.1109/ACCESS.2023.3288569
Omar del-Tejo-Catala, Javier Perez, Jose-Luis Guardiola, Alberto J. Perez, Juan-Carlos Perez-Cortes. (2023).
Synthetic-Real Domain Adaptation for Probabilistic Pose Estimation.
Computer Science Research Notes 3301, 127-136.
ISBN:2464-4617
https://doi.org/10.24132/CSRN.3301.16
Alberto Pérez Jiménez, Javier Pérez Soler, Juan Carlos Pérez Cortés, José Luis Guardiola García. (2022).
Improving Multi-View Camera Calibration Using Precise Location of Sphere Center Projection.
MDPI Computers 11(6), .
http://doi.org/10.3390/computers11060084
Javier Pérez Soler, Pau Garrigues Carbó, Imanol Fuidio, Stefan Wellsandt, Gennady Laventman, Mohammad Khodamoradi, Santiago Gálvez Settier, Juan Carlos Pérez Cortés. (2022).
Manufacturing data security, trustiness and traceability..
11th International Conference on Interoper- ability For Enterprise Systems And Applications (I-ESA’22) 3214, .
ISBN:1613-0073
http://ceur-ws.org/Vol-3214/