Örebro researchers Rajesh Patil and Professor Magnus Löfstrand have developed an AI system that detects welding defects, reduces material waste, and supports sustainable manufacturing. Subscribe to ...

For a long time, semiconductor defect inspection focused on particles, and particle defects remain an important cause of yield loss. But as devices have become more complex, additional kinds of ...

Automated visual inspection for railway surface defects has emerged as a critical component of modern rail maintenance, seeking to enhance safety, reduce downtime and lower operational costs. By ...