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 12):
The paper sheet handling machine according to  claim 1 , wherein,\n the storage unit is removable from the machine, and an identification terminal that allows the storage unit to be identified is provided in the storage unit, and the paper sheet handling machine further comprises: a reading unit configured to read identification information of the identification terminal when the storage unit is mounted in the machine, and a maximum capacity setting unit configured to set the maximum capacity to be stored in the memory unit, on the basis of the identification information read by the reading 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): 0.7656083906479235
- 35 USC 102 Novelty (BERT): 0.5254827463653101
- Combined Prediction Score: 0.7415958262196621
- Mean Citation Score: 310.206952
- Max Citation Score: 357.99915
- Similarity Product: 257.0701461910754

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