Computer vision techniques, in conjunction with acquisition through remote cameras and
unmanned aerial vehicles (UAVs), offer promising non-contact solutions to civil infrastructure …

Corrosion is a major defect in structural systems that has a significant economic impact and
can pose safety risks if left untended. Currently, an inspector visually assesses the condition …

Vessels are widely used for transporting goods around the world. All cargo vessels are
affected by two main defective situations, namely cracks and corrosion. To prevent major …

In this paper, we proposed a computer vision based approach to detect corrosion in water,
oil and gas pipelines. For this, we created a dataset containing more than 140,000 optical …

One of the major expenses for steel structures is the anti-corrosion maintenance tasks. The
maintenance of a steel structure depends on regular inspections, and visual inspections are …

Over the last few years, convolutional neural networks (CNNs) have been applied to detect
corrosion in images. Unfortunately, the corrosion is detected in bounding boxes, without …

There are various destructive as well as non-destructive techniques available to detect
corrosion in metallic surfaces. Digital Image Processing is widely being used for the …

In this study, a faster region-based convolutional neural network is constructed and applied
to the combined vision and thermographic images for automated detection and classification …

Ancillary structures are essential for highways' safe operationality but are mainly prone to
environmental corrosion. The traditional way of inspecting ancillary structures is manned …

Purpose As a common form of failure in industry, corrosion causes huge economic losses. At
present, with the development of computational techniques, artificial intelligence (AI) is …