PATENT CLAIM ANALYSIS

Application Number: 15748879
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-08
Patent Classification: ["347", "019000"]

Abstract:
A skew sensor calibration unit including a scanner providing a scanned image of a sheet as the sheet is conveyed along a transport path, the scanned image including a leading edge of the sheet and a skew detection pattern printed thereon by a printhead. A calibration module measures a top skew of the sheet based on position signals from a plurality of skew sensors indicating a position of a leading edge of a sheet as the sheet is conveyed along the transport path, measure an image skew of the sheet relative to the printhead based on the scanned image, and generates a calibration factor that when applied to the measured top skew provides a calibrated top skew that matches the image skew.

Claim (Index 1):
A skew sensor calibration unit comprising:\n a scanner providing a scanned image of a sheet as the sheet is conveyed along a transport path, the scanned image including a leading edge of the sheet and a skew detection pattern printed thereon by a printhead; and a calibration module to:\n measure a top skew of the sheet based on position signals from a plurality of skew sensors indicating a position of a leading edge of a sheet as the sheet is conveyed along the transport path; \n measure an image skew of the sheet relative to the printhead based on the scanned image; and \n generate a calibration factor that when applied to the measured top skew provides a calibrated top skew that matches the image skew.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 86.0
- Lexical Diversity: 2.30909
- Patent Class: 347.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15758897', '11216009', '11724948', '13731352', '11075890']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7268971213963614
- 35 USC 102 Novelty (BERT): 0.4837206405396044
- Combined Prediction Score: 0.7025794733106857
- Mean Citation Score: 164.04736400000004
- Max Citation Score: 218.85146
- Similarity Product: 162.53520942891598

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