Wafercadence

Sistemes d'Execució de Fabricació (MES)

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This advanced semiconductor manufacturing solution automates the rapid identification and diagnosis of wafer defects, significantly reducing the time from inspection to root-cause analysis within fab environments. Its core features include high-accuracy convolutional neural network-based defect classification, spatial pattern recognition for early anomaly detection, and seamless integration with inspection files, probe test data, and manufacturing execution systems (MES), enabling engineers to promptly address issues and mitigate yield losses. Designed for process engineers and fab operators, it addresses challenges such as lengthy manual triage, delayed defect attribution, and yield degradation in advanced-node fabrication, ensuring faster troubleshooting, enhanced process control, and minimized costly wafer scrap.

Wafercadence es pot trobar a Manufacturing Execution Systems (MES) categories.

Els productes més similars a Wafercadence són:

ReciPal Promogut → Padberg and Sons Max Promogut → Instrumental → Dabrico → EasyODM →

Captures de pantalla

Detalls

Característiques principals de Wafercadence

• No data egress
  All images and data stay on your network, keeping everything secure.
• Defect labeling
  Each defect is labeled by type, such as particle or scratch, to help engineers understand issues quickly.
• Fast engineer alerts
  Engineers receive quick alerts about problems before the next wafer batch starts.
• Early warning signals
  Detects problematic patterns early, often before many defects are visible.
• On-premise deployment
  It joins data like inspection files and test results inside your fab network, never leaving your system.
• Work on your hardware
  All tools run on your own equipment without needing external services or data transfer.
• Reduced diagnostic time
  It reduces hours needed for manual root-cause analysis.
• Real-time data processing
  It processes data immediately from inspection tools without delay.
• Six platform capabilities
  The SaaS has six tools that help move from inspection to fixing problems faster.
• Spatial pattern detection
  It finds patterns like edge-rings or arcs at very low defect counts, sometimes as few as 3 defects per lot.
• Inline defect classification
  Uses AI to label defects automatically with over 97% accuracy as soon as they are detected.
• Defect-to-root-cause in 12 minutes
  The system finds root causes of defects within 12 minutes after inspection.

Insígnies

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Còpia de la insígnia

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Còpia de la insígnia

Alternatives a Wafercadence

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Instrumental

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Dabrico

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EasyODM

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Tecnologies utilitzades

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