Patent · US Active

Apparatuses and methods for determining wafer defects

US11922613B2 · kind B2 · utility

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10Claims
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Key dates

Filing dateJul 9, 2020
Grant dateMar 5, 2024
Priority date
Expiry dateSep 21, 2041

Classification

  • Technology area (CPC H)Electricity
  • CPC primaryH01L21/67288
  • WIPO fieldMeasurement
  • WIPO sectorInstruments

Abstract

An inspection system for determining wafer defects in semiconductor fabrication may include an image capturing device to capture a wafer image and a classification convolutional neural network (CNN) to determine a classification from a plurality of classes for the captured image. Each of the plurality of classes indicates a type of a defect in the wafer. The system may also include an encoder to encode to convert a training image into a feature vector; a cluster system to cluster the feature vector to generate soft labels for the training image; and a decoder to decode the feature vector into a re-generated image. The system may also include a classification system to determine a classification from the plurality of classes for the training image. The encoder and decoder may be formed from a CNN autoencoder. The classification CNN and the CNN autoencoder may each be a deep neural network.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.