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 ...

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, ...

Optical 3D metrology enables fast, non-contact surface roughness measurement of defects and roughness for precise ...

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 ...

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 ...

What if manufacturing companies could pinpoint the exact cause of a defect the moment it occurs, preventing costly production delays and ensuring top-notch quality? Generative artificial intelligence ...

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 ...

Defect detection requirements on the order of 10 defective parts per million (DPPM) are driving improvements in inspection tools’ resolution and throughput at foundries and OSATs. However, defects ...

Leak detection plays a critical role in ensuring packaging reliability, especially in industries where product integrity directly affects safety, sterility or shelf life.