For example, if you want to detect defects in metal parts, you should use images or videos of metal parts that cover different types, shapes, sizes, angles, lighting conditions, and defect scenarios.

Learn how to document and report defect detection results in manufacturing with clear criteria, tracking tools, reporting formats, trend analysis, report sharing, and improvement actions.

However, with advancements in artificial intelligence and image recognition models, it is now possible to automate surface defect detection processes with greater accuracy and efficiency. In this blog ...

Metal castings are products that are used everywhere. It is used in vehicles, in buildings, for construction and so on. Castings are basically molded shapes formed out of melted metal like iron. The ...

For example, undetected defects that potentially cause Silent Data Corruption (SDC) might lead to costly post-release issues that jeopardize product reliability and customer trust. They can also cost ...

AI-powered vision systems are revolutionizing manufacturing quality control with lower costs, faster deployment and greater flexibility compared to traditional legacy machine ...

Visual surface defect detection plays a crucial role in industrial quality control. A series of deep learning based algorithms have been introduced into visual defect detection, achieving remarkable ...

Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV ...