PATENT CLAIM ANALYSIS

Application Number: 15974745
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["399", "301000"]

Abstract:
An image forming apparatus includes: a controller configured to: control first and second image forming units to form a plurality of groups of detection images, the plurality of groups of detection images being scaled based on a scaling factor, determine a plurality of detection start timings that respectively correspond to the plurality of groups based on the scaling factor, control a detection unit to detect the plurality of groups based on the determined detection start timings, and control the detected misregistration of a first image to be formed by the first image forming unit and a second image to be formed by the second image forming unit.

Claim (Index 15):
The image forming apparatus according to  claim 11 , further comprising\n a display unit, wherein the controller configured to execute scaling factor adjustment control for adjusting the scaling factor, in a case where the scaling factor adjustment control is executed, the controller configured to form a test image on another sheet using the first image forming unit and the second image forming unit, and control whether to change the scaling factor, and after executing the scaling factor adjustment control, the controller configured to display a screen for suggesting detection of the color misregistration using the display unit.

Metadata:
- Claim Count in Document: 24.0
- Percentile: 93.0
- Lexical Diversity: 2.59091
- Patent Class: 399.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15801033', '15420543', '15584478', '10245648', '11745649']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.824718763560816
- 35 USC 102 Novelty (BERT): 0.4995483701304004
- Combined Prediction Score: 0.7922017242177745
- Mean Citation Score: 276.34949
- Max Citation Score: 295.89047
- Similarity Product: 217.3358861000639

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

Dataset: test