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 2):
A method for inspection of a printed embodiment of a design as printed by a printing press, said printing press including a plurality of color units, each one of said color units configured to print a respective color, said design defined by a computer file comprising information relating to a plurality of original layers, each of said original layers including a topography associated with a color respective thereof, said inspection at least including determining the origin of at least one printed defect in said printed embodiment of the design, the method comprising the steps of:\n a) acquiring an image of the printed embodiment of the design; b) analyzing said acquired image to identify said at least one printed defect in the printed embodiment of the design according to the acquired image; c) generating a test set to be employed for inspection of the printed embodiment of the design by:\n i) generating, 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; \n ii) combining layers using a trained synthesis neural network, said layers including said at least one defective layer and remaining ones of said original layers, said trained synthesis neural network providing as an output thereof a plurality of features respective of each pixel; and \n iii) generating said test set from said output of said synthesis neural network, said test set including a synthesized test image corresponding to each member of the test set, each including the at least one synthesized defect at said at least one selected location; \n d) comparing the acquired image with one or more synthesized test images in said test set; e) determining the origin of said at least one printed defect by determining which of the one or more synthesized test images best matches the acquired image.

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): 0.2853118960107881
- 35 USC 102 Novelty (BERT): 0.547919123230291
- Combined Prediction Score: 0.3115726187327384
- Mean Citation Score: 234.18883
- Max Citation Score: 393.25198
- Similarity Product: 321.9113824865472

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