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 2):
The method according to  claim 1 , wherein identifying said at least one malfunctioning nozzle and classifying said malfunction according at least a portion of said nozzle pattern includes the procedures of:\n printing at least said portion of said nozzle pattern, said nozzle pattern including a nozzle color pattern for each of at least one printed color, each nozzle color pattern includes a plurality of nozzle pattern rows, each nozzle pattern row includes a plurality of nozzle marks representing samples of 1 in K nozzles, each row is shifted by an offset of 1 nozzle, each nozzle pattern row further including at least one nozzle locator; acquiring an image of the printed portion of said nozzle pattern; detecting nozzle marks and said at least one nozzle locator in each said nozzle pattern rows of the respective nozzle color patterns in said portion of said nozzle pattern; for each nozzle pattern row, determining a grid for a selected group of consecutive nozzle marks including expected nozzle mark locations and actual nozzle mark locations; associating each expected nozzle mark location with a respective detected nozzle mark and determining the distance between the expected nozzle mark location and the actual nozzle mark location of the respective nozzle mark; identifying and classifying nozzles according to the expected nozzle mark location on said grid, the actual nozzle mark location on said grid, the at least one nozzle locator and k;

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): 0.763625367440472
- 35 USC 102 Novelty (BERT): 0.5367168252702775
- Combined Prediction Score: 0.7409345132234526
- Mean Citation Score: 238.288516
- Max Citation Score: 386.2516
- Similarity Product: 303.1986294875383

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