PATENT CLAIM ANALYSIS

Application Number: 16253896
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-08
Patent Classification: ["399", "045000"]

Abstract:
Provided is an image forming apparatus capable of detecting a type of a sheet accommodated in a sheet feeding tray in advance. The image forming apparatus includes a conveyor, an image former, a fixer, a detector, and a processor. The conveyor conveys the sheet accommodated in the sheet feeding tray along a conveying path. The image former forms an image on the sheet. The fixer fixes the image onto the sheet. The detector is arranged on the conveying path and detects the type of the sheet. The processor executes a sheet type detection mode which is a mode for causing the detector to detect the type of the sheet conveyed by the conveyor before executing an. image forming mode which is a mode for causing the image former to form the image and causing the fixer to fix the image.

Claim (Index 8):
The image forming apparatus according to  claim 7 , wherein, when a plurality of sheet feeding trays is selected in the second operation screen, the hardware processor causes the detector to detect the types of the sheets accommodated in the plurality of the selected sheet feeding trays in an order in which the sheet feeding trays are selected in the sheet type detection mode.

Metadata:
- Claim Count in Document: 19.0
- Percentile: 99.0
- Lexical Diversity: 2.92308
- Patent Class: 399.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14338449', '15049703', '16059134', '14096245', '10988323']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8233343610928575
- 35 USC 102 Novelty (BERT): 0.4699791293734681
- Combined Prediction Score: 0.7879988379209185
- Mean Citation Score: 196.42241
- Max Citation Score: 206.54308
- Similarity Product: 161.85574488150596

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