Researchers have proposed an online, closed-loop way to spot and correct FFF stringing before a build is finished.
16hon MSN
Airplane parts need thorough inspections, and AI can help — but only if data is up to snuff
Safran uses Loopr AI to streamline defect inspections. The software creates synthetic data to improve AI algorithm training.
Veryon, the leading provider of aviation maintenance software and data intelligence solutions, today announced the next generation of its Defect Analysis platform, now expanded to incorporate aircraft ...
A study published in Molecules and led by researchers from the Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP) of the Chinese Academy of Sciences demonstrated how deep learning can ...
Focused AI solutions yield better returns in supply chain than broad, ambitious but unproven AI solutions. SKF has used a focused solution to improve product quality.
Built on the first large-scale AI foundation model trained on industrial X-ray CT data, Quality Agent monitors every part and every quality signal in production, detects deviations from known-good ...
AI's ability to analyze data at lightning speed is proving especially useful in vision systems used to detect part defects in real time in plastics manufacturing. Traditional vision systems have ...
This new technical paper titled “End-to-end deep learning framework for printed circuit board manufacturing defect classification” is from researchers at École de technologie supérieure (ÉTS) in ...
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 ...
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