PATENT CLAIM ANALYSIS

Application Number: 16382560
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-10
Patent Classification: ["382", "112000"]

Abstract:
Method for generating a test-set for inspection of a design being printed by a printing-press, each color-unit in the printing-press prints a respective color. The design is composed of original-layers. Inspection includes determining the origin of at least one defect in the printed-design. The method includes the procedures of generating defective-layer or layers of the design, by introducing at least one selected defect to at least one selected original-layer, in a selected location or locations and combining layers using a trained-synthesis-neural-network. The layers include the defective-layer or layers and remaining ones of the original-layers. The trained-synthesis-neural-network provides a plurality of features respective of each pixel. The method also includes the procedure of generating the test-set from the output of the synthesis-neural-network. The test-set includes at least one synthesized-test-image. The synthesized-test-image includes at least one synthesized-defect at the selected location. The test-set is employed to determine the origin of the defect.

Claim (Index 3):
A system for synthesizing a test set for inspection of a printed embodiment of a design as printed by a printing press, the system comprising:\n a processor configured to employ a synthesis neural network, the synthesis neural network configured to input a computer file defining said design, said file comprising a plurality of original layers, each one of said original layers including a topography associated with a color respective thereof, the synthesis neural network configured to: generate, for each member of the test set, at least one defective layer of said design by introducing at least one synthesized defect to at least one selected original layer in at least one selected location; combine layers including said at least one defective layer and remaining ones of said original layers; provide as an output a plurality of features respective of each pixel; and generate said test set from said output, said test set including at least one synthesized test image corresponding to each member of the test set, said at least one synthesized test image including at least one synthesized defect at said at least one selected location.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 100.0
- Lexical Diversity: 2.50769
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['16105704', '15771056', '16092738', '15213101', '13886013']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2865679887895993
- 35 USC 102 Novelty (BERT): 0.5462571419212868
- Combined Prediction Score: 0.3125369041027681
- Mean Citation Score: 234.18883
- Max Citation Score: 393.25198
- Similarity Product: 282.1368136845398

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