pink green and blue square pattern

SolVisionCase Study

Quality Control of Wafer Dicing

AI inspection of dicing blade defects

Quality of wafer dicing blades and tools

The rapid development of modern electronic products has intensified the demand and quality requirements for semiconductor chips. Advancements in manufacturing technology have also made silicon wafers become lighter, thinner and shorter. In order to achieve high yield and optimize production throughput, wafer dicing and singulation techniques are an important aspect to monitor, and the key to dicing quality lies in the blade used and its control.

AI inspection of dicing blade defects

Circular blade patterns and complex backgrounds

Wafer dicing is a common process in semiconductor and optoelectronic industries. When the dicing process cannot sustain yield and efficiency without compromising chip characteristics, production capacity will be greatly affected. Quality control of wafer dicing blades is mainly conducted by inspecting for appearance deficiencies. Damaged blades often have irregular lines or multi drilling defects on its surface. The dense, ring-shaped patterns on dicing blades also form complex backgrounds that affect detection rates of traditional inspection systems.

AI-based visual inspections

Using SolVision’s Segmentation tool, irregular lines and multi-drilling defects  are labeled in sample images to train the AI model. By leveraging powerful algorithms and advanced machine vision technology, SolVision can identify various defects on wafer dicing blades in real time to maintain their quality, without being affected by the complexity of backgrounds or defects.

AI Inspection

Scanned Image

Wafer dicing knife defect detection case

Detection Result

Wafer dicing knife defect detection case
Related Posts
  • Packaging Seal Inspection Using AI

    Based on deep learning technology, SolVision can determine whether a seal is intact by comparing a perfect packaging with potential variations
  • person holding tool during daytime

    Visual Inspection of Automotive Weld Beads

    Powered by AI, SolVision deep learning software trains an AI model by simulating potential weld bead defects in random brightness conditions
  • Gray Round Metal Part

    HDD Mounting Bracket Defect Detection Using AI

    SolVision enhances HDD mounting bracket defect detection through advanced AI, ensuring higher standards in electronics manufacturing.
  • a close-up of a machine

    Laser Welding Defect Detection Using AI

    SolVision overcomes challenges in laser welding inspection with AI, enabling precise defect detection for improved laser welding quality control.