Visual inspection of concrete structures using Unmanned Areal Vehicle (UAV) imagery is a
challenging task due to the variability of defects' size and appearance. This paper proposes …

Quality assessment in industrial applications is often carried out through visual inspection,
usually performed or supported by human domain experts. However, the manual visual …

Artificial intelligence models are currently being proposed for application in improving
performance in addressing contemporary management and production issues. With the goal …

Achieving accurate and efficient detection of road damage in complex scenes has always
been a challenging task. In this paper, an enhanced lightweight network, E-EfficientDet, is …

Crack detection methods of high-rise building walls based on traditional computer vision
(CV) heavily rely on manual selection and extraction of design features. Convolutional …

Nowadays, the rapid development of AI models (Artificial Intelligence) has significantly
improved performance in addressing construction management challenges in daily life …

Road pavement detection and segmentation are critical for developing autonomous road
repair systems. However, developing an instance segmentation method that simultaneously …

In the domain of tunnel lining defect detection, object detection algorithms have been widely
employed. However, existing algorithms suffer from inadequate extraction of global …

This study aims to establish a deep learning method for the real-time and accurate detection
of sharp edges and burrs in metal workpieces. This paper used the Single Shot MultiBox …

The detection of cigar appearance defects is a critical step in the cigar production process
and holds significant importance in ensuring the quality of cigar production. To address the …