Contemporary manufacturing must prioritise the sustainability of its manufacturing processes
and systems. Zero Defect Manufacturing (ZDM) focusses on minimising waste of any kind …

Featured Application This review elucidates the transformative impact of artificial intelligence
(AI) on viticulture, showcasing its practical applications in disease prediction, pest …

Many vision-based methods for printed label defect detection have been proposed to
replace inefficient manual inspection. However, due to the existence of artifacts and noise …

The process of printing defect detection usually suffers from challenges such as inaccurate
defect extraction and localization, caused by uneven illumination and complex textures …

Detecting defects in printed labels is essential for quality control. Although a few vision-
based models have been proposed for this challenging task, they fail to deal with the large …

Aiming at the problem of detection difficulties caused by the characteristics of high similarity
and disorderly arrangement of workpieces in dense scenes of industrial production lines …

Many vision-based methods have been widely used to detect defects in industrial printed
labels. However, most of them still face challenges of detecting unseen defects, low-contrast …

Quality control and assurance in pharmaceutical vial manufacturing are paramount to
ensure drug safety and efficacy. Defects such as cracks, bubbles, black spots, and wrinkles …

The problem of defects in glass bottles is a significant issue in glass bottle manufacturing.
There are various types of defects that can occur, including cracks, scratches, and blisters …

This review explores the transformative role of artificial intelligence (AI) in the entire
winemaking process, from viticulture to bottling, with a particular focus on enhancing food …