PATENT CLAIM ANALYSIS

Application Number: 16053642
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-01
Patent Classification: ["348", "135000"]

Abstract:
A computer implemented method. The method includes performing at least one of a visual evaluation and an instrument measurement of a target coating on a target sample to generate colorimetric information, and identifying, using a processor, a bulk toner that is present in the target coating by determining a color and a color intensity at different viewing angles relative to the target sample. The method also includes identifying, using the processor, at least one specific toner that is present in the target coating by detecting a presence and an orientation of colored and/or non-colored pigmentation effects that are present in the target coating, and outputting, using the processor, a formulation of the target coating that includes at least the at least one specific toner.

Claim (Index 9):
The system of  claim 8 , wherein detecting a presence of colored and/or non-colored pigmentation effects that are present in the target coating comprises:\n detecting a color of the target coating at a single viewing angle with a single light-source angle, wherein the single viewing angle and the single light-source angle are determined based upon the identified bulk toner, and comparing the detected color to data within a database that comprises information for each specific toner.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 96.0
- Lexical Diversity: 2.28814
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13832088', '15875593', '15470483', '14121869', '14073976']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5960894367238129
- 35 USC 102 Novelty (BERT): 0.5708786666311237
- Combined Prediction Score: 0.593568359714544
- Mean Citation Score: 249.93648
- Max Citation Score: 434.69525
- Similarity Product: 412.8237300982624

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