PATENT CLAIM ANALYSIS

Application Number: 16281832
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-08
Patent Classification: ["235", "494000"]

Abstract:
Systems and methods are provided for enhanced non-destructive testing (NDT) product labels and use thereof. An example label may be configured for application to non-destructive testing (NDT) products, with the label including a readable code that incorporates information relating to a particular NDT product sample. The information uniquely identifies the NDT product sample and/or a batch that includes the NDT product sample. An example system may include a reader configured for reading machine-readable code incorporated into a label applied to an NDT product, and circuitry configured for processing data obtained from the machine-readable code. The circuitry may extract based on the processing, information relating to the NDT product, the information including a unique product identifier and/or a unique batch identifier. The circuitry may then trigger based on the unique product identifier and/or the unique batch identifier, actions associated with the NDT product and/or use of the NDT product.

Claim (Index 4):
The system of  claim 1 , wherein one or more circuits are configured to automatically establish a connection to a remote entity associated with the NDT product.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 99.0
- Lexical Diversity: 2.36232
- Patent Class: 235.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14292651', '13747429', '15427929', '13732327', '13747457']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5794826206097389
- 35 USC 102 Novelty (BERT): 0.4578049275219408
- Combined Prediction Score: 0.567314851300959
- Mean Citation Score: 141.325496
- Max Citation Score: 146.52671999999995
- Similarity Product: 108.13972891387937

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test