PATENT CLAIM ANALYSIS

Application Number: 15767695
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["162", "004000"]

Abstract:
Provided is a sheet processing device able to suppress consumption of sheets. The sheet processing device has a supply device that supplies sheets; an image acquisition device that acquires an image of a sheet supplied from the supply device; a first decision device that determines whether or not the sheet can be reused based on the image of the sheet acquired by the image acquisition device; and an inverter configured to discharge the sheet without reversing the first side and second side of the sheet when the first decision device determines that the first side of the sheet can be reused, and reverses the first side and second side of the sheet and then discharges the sheet when the first decision device determines that the second side of the sheet can be reused.

Claim (Index 4):
The sheet processing device according to  claim 2 , wherein:\n the first decision device has a second decision device that determines whether or not there is a problem with the surface condition of the sheet based on an image of the sheet acquired by the image acquisition device; and the shredder shreds the sheet when the second decision device determines there is a problem with the surface condition of the sheet.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 91.0
- Lexical Diversity: 2.67308
- Patent Class: 162.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15103520', '12832686', '15126612', '15652543', '13619465']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7044509236838615
- 35 USC 102 Novelty (BERT): 0.4683728174806422
- Combined Prediction Score: 0.6808431130635396
- Mean Citation Score: 157.38744000000003
- Max Citation Score: 174.31702
- Similarity Product: 127.20596082948688

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