PATENT CLAIM ANALYSIS

Application Number: 15902509
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-09
Patent Classification: ["271", "010020"]

Abstract:
It is an object of the present invention to specify a type of sheet to be used using a sensor that detects a sheet separated from a roll at the time of automatic sheet feeding. A sheet supplying apparatus according to the present invention includes a driving unit configured to cause a roll including a wound consecutive sheet to rotate in a first direction for feeding the sheet or a second direction opposite to the first direction, a sensor that detects the sheet separated from an outer circumferential surface of the roll, wherein, in a case in which the sensor detects a leading end portion of the sheet while the roll is being rotated in the second direction, the driving unit changes a rotation direction of the roll from the second direction to the first direction and feeds the sheet, and wherein the sheet supplying apparatus further includes a specifying unit configured to specify a type of the sheet on the basis of an output of the sensor while the roll is being rotated in the second direction.

Claim (Index 5):
The sheet supplying apparatus according to  claim 4 , further comprising,\n a contact body that presses the outer circumferential surface, wherein, in a case in which a leading end of the sheet passes through a position of the contact body while the roll is being rotated in the second direction, the leading end portion including the leading end not separated from the outer circumferential surface is separated from a direction toward the sensor at the position.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 88.0
- Lexical Diversity: 2.68116
- Patent Class: 271.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14939115', '14939018', '15408711', '12965116', '14939030']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6956781871191421
- 35 USC 102 Novelty (BERT): 0.4779195622506221
- Combined Prediction Score: 0.6739023246322902
- Mean Citation Score: 174.425034
- Max Citation Score: 188.60861
- Similarity Product: 133.93678513139366

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