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 …

Defects on the rail surface will hasten the wear of the wheels. At the same time, when the
wheel is periodically hitting and rolling surface defected, the defects will gradually develop …

Surface defect detection of products is an important process to guarantee the quality of
industrial production. A defect detection task aims to identify the specific category and …

Deep learning-based algorithms have been widely employed to build reliable steel surface
defect detection systems, which are important for manufacturing. The performance of deep …

In the integrated circuit (IC) packaging, the surface defect detection of flexible printed circuit
boards (FPCBs) is important to control the quality of IC. Although various computer vision …

A novel resonant tri-coil transducer is proposed to induce thermoacoustic (TA) signals for
detecting rail internal defects. It consists of a ferrite plate-backed tri-coil and its associated …

Rail surface defect inspection based on machine vision faces challenges against the
complex background with interference and severe data imbalance. To meet these …

Surface defect segmentation of no-service rail is important for its quality assessment. There
are several challenges of uneven illumination, complex background, and difficulty of sample …

Rail surface defect (RSD) inspection is an essential routine maintenance task. Computer
vision testing is suitable for RSD inspection with its intuitiveness and rapidity. Deep learning …

Visual inspection techniques for rail surface defects have become prevalent approaches to
obtain information on rail surface damage. However, uneven illumination leads to illegibility …