Comparative assessment of common pre-trained CNNs for vision-based surface defect detection of machined components

SA Singh, AS Kumar, KA Desai - Expert Systems with Applications, 2023 - Elsevier
Abstract Small and Medium Enterprises (SMEs) and Micro, Small, and Medium Enterprises
(MSMEs) contemplate integrating machine vision with high throughput manufacturing lines …

Revisión de la literatura sobre el uso del aprendizaje profundo enfocado en sistemas de inspección ópticos automatizados para la detección de defectos superficiales …

J Sanchez-Romero, J Llerena-Izquierdo - Revista InGenio, 2023 - revistas.uteq.edu.ec
El sector de la manufactura utiliza metodologías de aprendizaje automático supervisado
que permiten mejorar procesos de inspección mediante la visión artificial. La inspección …

Artificial intelligence for smart manufacturing: Methods and applications

KP Tran - Sensors, 2021 - mdpi.com
The term Industry 4.0 has become increasingly pervasive in the context of industrial
manufacturing and it has been considered the fourth industrial revolution (Henning [1]). The …

[HTML][HTML] An intelligent cocoa quality testing framework based on deep learning techniques

R Essah, D Anand, S Singh - Measurement: Sensors, 2022 - Elsevier
The export of cocoa beans is economically significant in Ghana and numerous other tropical
nations. Before the cocoa beans can be processed into finished goods, they must undergo a …

Detecting and classifying defects on the surface of water heaters: Development of an automated system

 Semitela, A Ferreira, A Completo… - Proceedings of the …, 2024 - journals.sagepub.com
Seeking a total automation of the existing industrial processes, manual product quality
control systems have been gradually replaced by automated ones, to significantly improve …

Artificial Intelligence Applications for Resilience in Manufacturing—A Systematic Literature Review

FA Maier, S Puppala, M Oberle - … International Conference on …, 2024 - ieeexplore.ieee.org
This review provides a structured literature analysis of Artificial Intelligence (AI) applications
in enhancing manufacturing resilience. The research is guided by three primary questions …

[PDF][PDF] AI-powered inspections of facades in reinforced concrete buildings

M De Filippo, S Asadiabadi, JS Kuang, DK Mishra… - HKIE Trans, 2023 - hkie.org.hk
Worldwide there are plenty of aged Reinforced Concrete (RC) buildings in need of thorough
inspections. Cracks, delamination, stains, leakages, debonding and moisture ingressions …

[HTML][HTML] Smart Machine Vision System to Improve Decision-Making on the Assembly Line

CAS Silva, EP Paladini - Machines, 2025 - mdpi.com
Technological advances in the production of printed circuit boards (PCBs) are increasing the
number of components inserted on the surface. This has led the electronics industry to seek …

Addressing Data Imbalance via Image Augmentation for Automated Quality Inspection in Steel Production

H Eberhard, R Hartner - Proceedings of the 2024 10th International …, 2024 - dl.acm.org
Automated quality inspection is widely used in industry, however, there is often the problem
of data imbalance, as defect samples occur less frequently during production leading to …

[PDF][PDF] Smart Machine Vision System to Improve Decision-Maker on the Assembly Line

CA de Souza Silva, EP Paladini - 2024 - preprints.org
Technological advances for the production of Printed Circuit Boards (PCBs) are increasingly
and increasing the number of components inserted on the surface, leading the electronics …