PATENT CLAIM ANALYSIS

Application Number: 16446127
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2019-10
Patent Classification: ["356", "239700"]

Abstract:
An apparatus and method for tracking defects in sheet materials. The abstract of the disclosure is submitted herewith as required by 37 C.F.R. § 1.72(b). As stated in 37 C.F.R. § 1.72(b): A brief abstract of the technical disclosure in the specification must commence on a separate sheet, preferably following the claims, under the heading “Abstract of the Disclosure.” The purpose of the abstract is to enable the Patent and Trademark Office and the public generally to determine quickly from a cursory inspection the nature and gist of the technical disclosure. The abstract shall not be used for interpreting the scope of the claims. Therefore, any statements made relating to the abstract are not intended to limit the claims in any manner and should not be interpreted as limiting the claims in any manner.

Claim (Index 16):
The method according to  claim 2 , wherein at least one of  1337  (A) and (B):\n (A) said stored structure data, input data, and/or output data is deleted from said storage or memory unit after the processing of said sheet section; and \n (B) said first structure sensor and/or said second structure sensor acquires said at least one inherent structural feature from a section of said sheet material in which said material defect is present, wherein said section, starting from the position of said material defect, exhibits in particular a length of one of: +/\u221275 centimeters, +/\u221250 centimeters, +/\u221230 centimeters, or +/\u221215 centimeters or less.

Metadata:
- Claim Count in Document: 43.0
- Percentile: 100.0
- Lexical Diversity: 1.82143
- Patent Class: 356.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15016415', '14542871', '15047825', '11292927', '11266499']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6528248897170946
- 35 USC 102 Novelty (BERT): 0.5126425439080586
- Combined Prediction Score: 0.6388066551361911
- Mean Citation Score: 141.444661
- Max Citation Score: 253.53462
- Similarity Product: 152.7750603110862

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