Photoresist coating is the first critical step in wafer patterning, any variation in film thickness, streaks, or contamination can cause pattern distortion or complete lithography failure. Yet, traditional inline checks or manual inspections often miss these subtle but fatal errors.
AI-powered Resist Coating Uniformity & Defect Monitoring uses computer vision to continuously inspect resist film application in real-time. It tracks film consistency, detects defects like bubbles, streaks, and particles, and identifies non-uniform thickness across the wafer, before the wafer reaches the exposure tool.
Variations across wafer radius or from batch-to-batch can result in uneven exposure or resist development.
Bubbles, streaks, or particles are difficult to catch without consistent high-resolution inspection.
Poor edge bead removal (EBR) or aging resist causes contamination at the wafer edge, reducing usable area.
Defects are often discovered only after exposure or development, too late for correction.
High-speed cameras scan coated wafers for surface anomalies and coating consistency before exposure.
Visual data is processed to detect microns of variation across wafer zones and flag abnormal patterns.
Identifies EBR failures, air bubble entrapments, and inconsistent spin profiles that can compromise quality.
Automatically stops defective wafers from progressing and recommends rework, saving exposure tool cycles.
We begin by identifying the optimal inspection point, typically between the spin coater and EBR or before bake, to ensure full visual access before exposure.
Camera and lighting systems are tuned to work across multiple resist chemistries and coating speeds, with configurable profiles for each product line.
Our models are trained using historical coated wafer data, including edge bead patterns, film breaks, nozzle defects, and particulate contamination.
The inspection system sends “pass,” “hold,” or “re-coat” commands directly to your MES system, while simultaneously logging heatmaps and coating stats per wafer ID for traceability.
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