PATENT CLAIM ANALYSIS

Application Number: 16096605
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-05
Patent Classification: ["358", "001600"]

Abstract:
In an example, an apparatus is described that includes a vision system and an image correction module. The vision system captures an image of a multi-lane print output. The image correction module receives the image of the multi-lane print output from the vision system and calculates a calibration to image data from which the multi-lane output is printed. The calibration minimizes visual variations between the multi-lane print output and a reference image.

Claim (Index 6):
A non-transitory machine-readable storage medium encoded with instructions executable by a processor, the machine-readable storage medium comprising:\n instructions to detect a visual variation in a lane of a print output printed on a web, wherein the lane comprises a plurality of ribbons, and wherein each ribbon of the plurality of ribbons comprises a plurality of copies of an image that repeat in a cross-web direction; instructions to calculate a calibration for a first ribbon of the plurality of ribbons that makes the visual variation less visible; and instructions to adjust unique image data from which the first ribbon is printed according to the calibration without adjusting unique image data from which a second ribbon of the plurality of ribbons is printed.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 97.0
- Lexical Diversity: 2.08108
- Patent Class: 358.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15760314', '16096758', '14586298', '14301634', '10845042']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4609708912552784
- 35 USC 102 Novelty (BERT): 0.4683916061299927
- Combined Prediction Score: 0.4617129627427498
- Mean Citation Score: 112.42423800000002
- Max Citation Score: 124.68956
- Similarity Product: 88.6954168570137

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test