PATENT CLAIM ANALYSIS

Application Number: 15747195
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-08
Patent Classification: ["271", "003150"]

Abstract:
A paper sheet handling machine (for example, banknote handling machine ( 10 )) includes: a recognition unit ( 18 ) configured to recognize a paper sheet transported by a transport unit ( 16 ); a storage unit (for example, banknote storages ( 30 ) or banknote storage cassette ( 40 )) configured to store the paper sheet recognized by the recognition unit ( 18 ); a memory unit ( 54 ) configured to store a maximum capacity for paper sheets in the storage unit; and a maximum capacity change unit ( 58 ) configured to change the maximum capacity stored in the memory unit ( 54 ), on the basis of information about a kind of the paper sheet recognized by the recognition unit ( 18 ).

Claim (Index 17):
The paper sheet handling machine according to  claim 16 , wherein the control unit controls the transport unit such that, in a case where a paper sheet recognized by the recognition unit is to be stored in the storage unit corresponding to a kind of the paper sheet recognized by the recognition unit, when a state where paper sheets are stored in the storage unit is assumed to be a predetermined state, a paper sheet of the kind recognized by the recognition unit is not transported to the temporary storage unit.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 86.0
- Lexical Diversity: 2.67308
- Patent Class: 271.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15556010', '12733319', '13126391', '13575850', '14311873']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7660068090437101
- 35 USC 102 Novelty (BERT): 0.5264302832725543
- Combined Prediction Score: 0.7420491564665945
- Mean Citation Score: 310.206952
- Max Citation Score: 357.99915
- Similarity Product: 225.60155757232903

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

Dataset: test