Betsy Villa Brochero

Betsy Villa Brochero

PhD Candidate in Computer Vision 🎓 University of Twente · Deep learning for industrial defect detection · Mechatronics · Industry 4.0

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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

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Digital image processing applied on static sign language recognition system

Published in Prospectiva, 2018

This paper presents a digital image processing system for recognizing static sign language gestures, applying computer vision techniques to enable real-time hand gesture classification.

Recommended citation: B. Villa et al. (2018). "Digital image processing applied on static sign language recognition system." Prospectiva. 16, 41–48.
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Computer Vision in Manufacturing for Missing Object Detection: A Survey

Published in IEEE Transactions on Industrial Informatics (IEEE TII), 2026

A comprehensive survey of state-of-the-art computer vision methods applied to missing object detection in manufacturing environments, covering deep learning approaches, datasets, and open challenges.

Recommended citation: B. Villa et al. (2026). "Computer Vision in Manufacturing for Missing Object Detection: A Survey." IEEE Transactions on Industrial Informatics. DOI: 10.1109/TII.2026.3712755.

PCB-MC: Missing Component Analysis in Printed Circuit Boards

Published in European Workshop on Visual Information Processing (EUVIP) 2026, Luxembourg, 2026

We introduce PCB-MC, a benchmark dataset designed to support research in missing component detection on printed circuit boards, enabling standardized evaluation of computer vision and deep learning methods for industrial quality inspection.

Recommended citation: B. Villa et al. (2026). "PCB-MC: Missing Component Analysis in Printed Circuit Boards." European Workshop on Visual Information Processing (EUVIP).

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