PATENT CLAIM ANALYSIS

Application Number: 15989127
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["382", "141000"]

Abstract:
A method for facilitating detection of at least one anomaly in a representation of a product having a pattern is provided. The method involves causing at least one processor to receive image data representing the product during processing, identify from the image data generally similar images representing respective instances of a repeated aspect of the pattern, each of the images including image element values, generate a set of corresponding image element values including an image element value from each image, identify at least one image element value from the set of corresponding image element values to be excluded from a subset of the set of corresponding image element values, generate at least one criterion based on the subset, and cause the at least one criterion to be used to facilitate identification of the at least one anomaly. Other methods, apparatuses, systems, and computer readable media are also provided.

Claim (Index 16):
The apparatus of  claim 15  wherein the at least one processor is configured to:\n determine an upper limit value from the subset of the set of corresponding image element values; and \n compare the subject image element value to the upper limit value.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 93.0
- Lexical Diversity: 2.28571
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15219099', '15571463', '09977263', '11848922', '15381604']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3391533611115873
- 35 USC 102 Novelty (BERT): 0.5512179561682284
- Combined Prediction Score: 0.3603598206172514
- Mean Citation Score: 221.524258
- Max Citation Score: 419.69116
- Similarity Product: 321.77319719731565

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