The quality inspection of industrial products is a fundamental step in large-scale production
as it boosts the yield and reduces the costs. Intelligent embedded platforms with built-in tiny …

Rapid and accurate industrial inspection to ensure the highest quality standards at a
competitive price is one of the biggest challenges in the manufacturing industry. This paper …

Fast and reliable industrial inspection is a main challenge in manufacturing scenarios.
However, the defect detection performance is heavily dependent on manually defined …

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

The automation of the manufacturing process of printed circuit boards (PCBs) requires
accurate PCB inspections, which in turn require clear images that accurately represent the …

Metal workpieces are an indispensable and important part of the manufacturing industry.
Surface flaws not only affect the appearance, but also affect the efficiency of the workpiece …

Numerous automated labour-saving systems have been created and implemented to lower
production costs and enhance product quality. Systems for intelligent visual analysis are …

In this study, we present a framework for product quality inspection based on deep learning
techniques. First, we categorize several deep learning models that can be applied to product …

This paper presents a deep learning-based framework for automating the visual inspection
of plastic bottles in an Industry 4.0 context, detecting surface defects to enhance product …

In the semiconductor industry, automated visual inspection aims to improve the detection
and recognition of manufacturing defects by leveraging the power of artificial intelligence …