PATENT CLAIM ANALYSIS

Application Number: 15760481
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["347", "010000"]

Abstract:
An inkjet recording device includes a hardware processor. The hardware processor: performs, for respective recording heads of a recorder, setting relevant to adjustment of an amount of ink to be discharged from nozzle groups; based on ink discharge amount information on a distribution of ink discharge amounts that are discharged from the nozzle groups based on image data, performs the setting such that at each joint in the nozzle groups, a difference between representative values of the ink discharge amounts of the nozzle groups satisfies a predetermined continuity condition, and a representative value of the ink discharge amounts of the nozzle groups satisfies a predetermined discharge amount condition; and adjusts at least a part of the setting such that a difference between a maximum value and a minimum value of the ink discharge amounts of the nozzle groups reduces.

Claim (Index 6):
The inkjet recording device according to  claim 1 , comprising:\n a reader that reads an image recorded on the recording medium by the recorder, wherein the hardware processor obtains the ink discharge amount information from a result of reading of a test image by the reader, the test image being recorded by the recorder based on predetermined test image data.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 90.0
- Lexical Diversity: 2.36508
- Patent Class: 347.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14748041', '11223698', '10932021', '14525918', '11067358']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7740717568149603
- 35 USC 102 Novelty (BERT): 0.4913758540850054
- Combined Prediction Score: 0.7458021665419649
- Mean Citation Score: 246.762628
- Max Citation Score: 251.95987
- Similarity Product: 188.9011501942027

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