CMP Quality Monitoring

Perfect the Planarity. Catch Surface Irregularities Before They Cost You Yield.

CMP Quality Monitoring

PLANARIZE WITH PRECISION. DETECT WITH VISION.

CMP Quality Monitoring 2

Chemical Mechanical Planarization (CMP) is critical for achieving flat surfaces before lithography and metalization layers, but it’s also one of the most defect-prone processes in semiconductor fabrication. Microscopic erosion, dishing, scratches, and thickness variations can easily go undetected until later stages, causing metal bridging, poor pattern fidelity, and electrical faults.

AI-powered CMP Quality Monitoring systems use real-time computer vision and surface profiling to inspect wafers for planarity issues, pattern distortions, and mechanical damage, before wafers exit the CMP tool.

OUR HOLISTIC VIEW TO CHALLENGES & FEATURES

Challenges

Dishing and Erosion Go Unnoticed

Dishing and Erosion Go Unnoticed

Surface depressions or raised areas often escape detection using static metrology tools.

Post-Process Inspection Is Too Late

Post-Process Inspection Is Too Late

By the time defects are caught, wafers have already moved forward, resulting in batch-level loss.

No Feedback Loop to CMP Tools

No Feedback Loop to CMP Tools

Traditional CMP lacks intelligent automation for adjusting pad pressure or slurry flow in real time.

Non-Uniform Planarization Across Wafers

Non-Uniform Planarization Across Wafers

Edge vs. center planarity variations often go undiagnosed without full-field visual inspection.

Features

Real-Time Surface Profile Scanning

Real-Time Surface Profile Scanning

Vision systems detect topography variations like dishing, erosion, and micro-scratches as wafers exit the platen.

Edge-to-Center Planarity Mapping

Edge-to-Center Planarity Mapping

Full-wafer visual analysis to ensure uniform thickness across all regions.

Automated Defect Classification

Automated Defect Classification

AI detects and classifies CMP-related defects using training data, reducing false positives.

Live Feedback to CMP Parameters

Live Feedback to CMP Parameters

Detects trends in pad wear or slurry issues and feeds data back to adjust process settings.

WHO BENEFITS FROM CMP QUALITY MONITORING?

CMP Quality Monitoring 3
  • CMP Process Engineers Identify polishing inefficiencies and adjust parameters in real time.
  • Yield Engineers Catch planarization-induced defects early to prevent yield loss downstream.
  • Equipment Maintenance Teams Monitor pad wear and platen stability visually without shutting down production.
  • Metrology Integration Leads Reduce reliance on delayed post-CMP metrology with inline visual validation.

BUILDING AND DEPLOYING PROCESS

CMP Quality Monitoring 4
CMP Process Mapping & Tool Assessment

CMP Process Mapping & Tool Assessment

We begin by auditing your specific CMP tools, single or double platen, and defining inspection points for incoming and outgoing wafers.

Wafer Imaging System Configuration

Wafer Imaging System Configuration

High-speed line-scan or area-scan cameras are calibrated for low reflectivity surfaces, mounted above wafer exit conveyors with optical flattening filters to reduce glare.

Model Training with Dishing & Erosion Datasets

Model Training with Dishing & Erosion Datasets

AI models are trained using thousands of annotated wafer images to recognize surface artifacts like microscratches, pad marks, and planar deviations with high accuracy.

Inline Deployment with Real-Time Alerts

Inline Deployment with Real-Time Alerts

The system is integrated directly into the CMP tool’s output lane or post-clean module, providing instant alerts for abnormal surface profiles and enabling dynamic process correction without production delay.

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