A new research review looks at how computer vision and machine learning could be used to spot defects in 3D printed concrete.

TDK SensEI’s edgeRX Vision system, powered by advanced AI, accurately detects defects in components as small as 1.0×0.5 mm in real time. Operating at speeds up to 2000 parts per minute, it reduces ...

SAN SEBASTIÁN, SPAIN – August 16, 2022 – Multiverse Computing, a quantum computing solutions company, and IKERLAN, a center in technology transfer value to industry, have released the results of a ...

Dinnar Automatic Intelligence Inc., a Chinese industrial AI company that specializes in machine-vision quality inspection, has opened its U.S. headquarters in Silicon Valley as American manufacturers ...

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 ...

Professor Gao Zhi's research team from the School of Remote Sensing and Information Engineering at Wuhan University in Hubei ...

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 ...