PATENT CLAIM ANALYSIS

Application Number: 15771056
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-11
Patent Classification: ["347", "019000"]

Abstract:
A method identifies at least one malfunctioning nozzle in a digital printing press, the digital printing press including a plurality of nozzles. The method includes printing a design on a substrate, acquiring at least one image of the printed design and identifying at least one artifact in the acquired image. The method further includes identifying the malfunctioning nozzle and classifying the at least one malfunctioning nozzle according to the at least one of the acquired image of the printed design, at least a portion of a nozzle pattern and at least a portion of a uniformity pattern.

Claim (Index 20):
The method according to  claim 10 , wherein identifying said at least one malfunctioning nozzle and classifying said malfunction according to said at least a portion of said uniformity pattern includes the procedures of:\n printing said at least said portion of said uniformity pattern on a substrate, said uniformity pattern includes a plurality of color uniformity patterns respective of each color being printed, each one of said color uniformity patterns includes a plurality of color uniformity rows, each color uniformity row in each color uniformity pattern is associated with a respective different planned ink density level. acquiring an image of said portion of said uniformity pattern; identifying color uniformity rows in the acquired image; determining the relative density of each bin in each color uniformity row, said bin being defined as at least one pixel in the acquired image; determining required correction for each bin which exhibits a non-uniform relative density.

Metadata:
- Claim Count in Document: 19.0
- Percentile: 91.0
- Lexical Diversity: 2.64103
- Patent Class: 347.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16092738', '14019929', '12413817', '13351007', '12391618']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.764152779660233
- 35 USC 102 Novelty (BERT): 0.5361141050770029
- Combined Prediction Score: 0.7413489122019099
- Mean Citation Score: 238.288516
- Max Citation Score: 386.2516
- Similarity Product: 282.19021567897795

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