PATENT CLAIM ANALYSIS

Application Number: 16110126
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-03
Patent Classification: ["347", "014000"]

Abstract:
A method corrects for defective printing nozzles in an ink jet printing machine via a computer. The defective printing nozzles are compensated for after the screening process by neighboring printing nozzles applying an increased amount of ink. The method includes precalculating different compensation halftones for different area coverages by the computer, printing the compensation halftones embedded in area coverage halftone areas, evaluating the printed compensation halftones via the computer, and selecting and saving, for every area coverage level, the compensation halftone that best matches the coloration of the original halftone in the respective area coverage halftone area. A defective printing nozzle is detected during production printing by the computer. The local area coverage is determined along the detected defective printing nozzle by the computer. The compensation halftone that has been saved for the determined local area coverage is used to compensate for the defective printing nozzles via the computer.

Claim (Index 9):
The method according to  claim 6 , wherein a rule that characteristics of the compensation halftone corresponds to an original area coverage halftone that is to be replaced is factored in when the compensation halftones are precalculated.

Metadata:
- Claim Count in Document: 16.0
- Percentile: 96.0
- Lexical Diversity: 2.35294
- Patent Class: 347.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15902339', '13346231', '15161344', '14874456', '10631743']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7714083117164034
- 35 USC 102 Novelty (BERT): 0.514929512344484
- Combined Prediction Score: 0.7457604317792116
- Mean Citation Score: 241.301602
- Max Citation Score: 311.47095
- Similarity Product: 219.42622208787205

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