PATENT CLAIM ANALYSIS

Application Number: 16155925
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-04
Patent Classification: ["347", "014000"]

Abstract:
A method detects defective printing nozzles in an inkjet printing machine having a computer. The method includes printing a multi-row nozzle test chart for detection purposes, the test chart contains a number of horizontal rows of equidistant vertical lines printed periodically and disposed underneath one another. Wherein in every row of the nozzle test chart periodically only those respective printing nozzles of the print head contribute to the first element of the nozzle test chart that correspond to the specified number of the horizontal rows. An area coverage element geometrically associated with the nozzle test chart is printed. Both elements are recorded by an image sensor and both elements are evaluated by the computer. Defective printing nozzles are identified by evaluating the recorded nozzle test chart by the computer. Defects are allocated in the area coverage element to the printing nozzles in the nozzle test chart by the computer.

Claim (Index 6):
The method according to  claim 5 , wherein the thresholds calculated for detecting the defective printing nozzles are saved for a specific qualified printing conditions and settings of the inkjet printing machine in a database that the computer may access.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 97.0
- Lexical Diversity: 2.06579
- Patent Class: 347.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16128731', '16110126', '15278604', '10345939', '12391618']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7710285684142575
- 35 USC 102 Novelty (BERT): 0.4976674942215643
- Combined Prediction Score: 0.7436924609949882
- Mean Citation Score: 218.11068
- Max Citation Score: 224.50377000000003
- Similarity Product: 145.34452166185142

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