PATENT CLAIM ANALYSIS

Application Number: 15878757
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["358", "001120"]

Abstract:
A paper thickness detecting device that detects a paper thickness in accordance with a detection signal of a displacement sensor, includes: a pair of paper thickness detecting rollers including a first roller and a second roller that pinch a paper conveyed via a pair of conveyance rollers; and the displacement sensor that detects a displacement amount of the pair of paper thickness detecting rollers at the time when the paper passes through the pair of paper thickness detecting rollers, wherein the paper thickness is detected on the basis of the displacement amount of the pair of paper thickness detecting rollers that follows to rotate with respect to the paper conveyed via the pair of conveyance rollers.

Claim (Index 1):
A paper thickness detecting device that detects a paper thickness in accordance with a detection signal of a displacement sensor, the paper thickness detecting device, comprising:\n a pair of paper thickness detecting rollers comprising a first roller and a second roller that pinch a paper conveyed via a pair of conveyance rollers; and the displacement sensor that detects a displacement amount of the pair of paper thickness detecting rollers at the time when the paper passes through the pair of paper thickness detecting rollers, wherein the paper thickness is detected on the basis of the displacement amount of the pair of paper thickness detecting rollers that follows to rotate with respect to the paper conveyed via the pair of conveyance rollers.

Metadata:
- Claim Count in Document: 10.0
- Percentile: 86.0
- Lexical Diversity: 2.52083
- Patent Class: 358.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['11401176', '14478389', '11482918', '12484768', '14386689']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4650974645824239
- 35 USC 102 Novelty (BERT): 0.4911313284940996
- Combined Prediction Score: 0.4677008509735915
- Mean Citation Score: 210.915686
- Max Citation Score: 219.20201
- Similarity Product: 172.94796324052692

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

Dataset: test