Detecting sub-5nm defects creates huge challenges for chipmakers, challenges that have a direct impact on yield, reliability, and profitability. In addition to being smaller and harder to detect, ...

The novel technique is based on the VarifocalNet deep-learning object detection framework, which was reportedly tweaked to achieve quicker and more accurate results. Compared to other such methods, ...

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 ...

Portable 3D optical inspection with 4Di InSpec transforms surface metrology, enhancing defect detection and quality assurance ...

Semiconductors are used in devices such as memory chips and solar cells, and within them may exist invisible defects that ...

Semiconductors are used in devices such as memory chips and solar cells, and within them may exist invisible defects that ...

Detecting macro-defects early in the wafer processing flow is vital for yield and process improvement, and it is driving innovations in both inspection techniques and wafer test map analysis. At the ...

Geomembranes play a critical role in modern containment systems, from landfills and wastewater lagoons to mining operations and industrial ponds. Because these liners are designed to prevent leaks ...

In industry, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and safety. However, conventional methods rely on heavy computational ...