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 ...

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 ...

A joint research team has successfully identified, for the first time, the specific types of defects responsible for efficiency loss in silicon heterojunction (SHJ) solar cells. Subscribe to our ...

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 ...

Relying solely on end-of-line testing isn't enough when security, traceability, and mission reliability are vital.

Accurate detection of heavy rail surface defects is crucial to both the economics and safety of railway transportation.