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 ...

Advances in deep learning have transformed the field of infrastructure maintenance, particularly in the automated detection and characterisation of defects in sewer pipelines. Leveraging large volumes ...

Researchers have evaluated how Vision Transformers and convolutional neural networks can support faster and more accurate defect detection in railway track fasteners, a key task for smart railway ...

Automated optical inspection (AOI) is a cornerstone in semiconductor manufacturing, assembly and testing facilities, and as such, it plays a crucial role in yield management and process control.

BMW researchers have demonstrated that camera-based inspection systems can catch manufacturing flaws in battery electrodes ...