PATENT CLAIM ANALYSIS

Application Number: 16160958
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-05
Patent Classification: ["348", "080000"]

Abstract:
An inspection method includes the following steps: identifying a plurality of patterns within an image; and comparing the plurality of patterns with each other for measurement values thereof. The above-mentioned inspection method uses the pattern within the image as a basis for comparison; therefore, measurement values of the plurality of pixels constructing the pattern can be processed with statistical methods and then compared, and the false rate caused by variation of a few pixels is decreased significantly. An inspection system implementing the above-mentioned method is also disclosed.

Claim (Index 76):
An inspection system, comprising a computing device configured to cause the inspection system to:\n identify, within an image of a semiconductor specimen, a plurality of patterns corresponding to a plurality of electrical circuits respectively; for each of the plurality of patterns, determine a statistical value associated with pixel values of the pattern; detect whether at least one of the plurality of patterns contains a defect based on comparisons involving the determined statistical values; and in response to detecting that a first pattern of the plurality of patterns contains a defect, inspect the first pattern for locating a defect.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 97.0
- Lexical Diversity: 1.63793
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14738791', '15250184', '12414130', '13073161', '10855808']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5833007454649675
- 35 USC 102 Novelty (BERT): 0.5013800189949483
- Combined Prediction Score: 0.5751086728179655
- Mean Citation Score: 222.302984
- Max Citation Score: 278.84555
- Similarity Product: 245.43831532908385

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test