PATENT CLAIM ANALYSIS

Application Number: 16244765
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["347", "016000"]

Abstract:
Examples described herein include method for calibrating LED modules in a curing engine. The method of calibrating UV curing modules includes receiving an uncured calibration image and initiating a curing operation that includes operating the curing modules according to a plurality of corresponding initial power level settings to apply radiant energy to the uncured calibration image to generate a cured calibration image. The method further includes receiving user input or information about an image characteristic of the cured calibration image from a user. The method then includes analyzing the user input to generate adjustments to the corresponding initial power level settings, and then applying the adjustments to the corresponding initial power level settings to generate a plurality of corresponding adjusted power level settings.

Claim (Index 16):
A printing system comprising:\n a print engine disposed at a first location in a print path of the printing system; a curing engine disposed at a second location in the print path; and a controller coupled to the print engine and the curing engine, the controller to:\n control the print engine to generate an uncured calibration image, and \n control the curing engine to cure the uncured calibration image to generate a cured calibration image, \n wherein the curing engine comprises a plurality of curing energy source modules and each of the curing energy source modules to be driven with varying power level settings across the uncured calibration image to generate correspondingly varied image characteristics in the cured calibration image.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 99.0
- Lexical Diversity: 2.28571
- Patent Class: 347.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15468298', '14756922', '10172761', '11382904', '13234200']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6754858449491318
- 35 USC 102 Novelty (BERT): 0.5078215163562668
- Combined Prediction Score: 0.6587194120898453
- Mean Citation Score: 149.63118319999995
- Max Citation Score: 277.10193
- Similarity Product: 209.8720402331704

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