Abstract Machine vision significantly improves the efficiency, quality, and reliability of defect
detection. In visual inspection, excellent optical illumination platforms and suitable image …

Composite materials/structures are advancing in product efficiency, cost-effectiveness and
the development of superior specific properties. There are increasing demands in their …

Infrared imaging-based machine vision (IRMV) is the technology used to automatically
inspect, detect, and analyse infrared images (or videos) obtained by recording the intensity …

In modern manufacturing, vision-based defect recognition is an essential technology to
guarantee product quality, and it plays an important role in industrial intelligence. With the …

Honeycomb sandwich is really one of the fundamentals to make a composite strong, stiff,
very light, safe and have wonderful performance. Honeycomb materials are majorly used …

This paper proposes an automatic defect localization and sizing procedure for Structural
Health Monitoring based on guided waves imaging. The procedure is applied to an …

This paper presents a novel framework to predict the full non-linear response of composite
materials using Deep Recurrent Convolutional Neural (DCRN) Networks. The framework is …

The non-destructive testing methods offer great benefit in detecting and classifying the weld
defects. Among these, infrared (IR) thermography stands out in the inspection …

This review paper addresses the critical need for structural prognostics and health
management (SPHM) in aircraft maintenance, highlighting its role in identifying potential …

Infrared thermography (IRT) is a promising inspection technique, showing good defect
detectability in a range of materials. To advance the IRT inspection technique, automated …