PATENT CLAIM ANALYSIS

Application Number: 15754725
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-10
Patent Classification: ["359", "851000"]

Abstract:
Provided are an internal check mirror for an overhead bin that makes it possible to increase the size of a mirror image while having substantially equivalent weight to a conventional one and improve visibility, and a method for manufacturing the same. An internal check mirror  1  for an overhead bin comprising a Fresnel mirror  2  having a convex mirror function is configured by arranging a plurality of minute circular grooves  4  having V-shaped cross-sections concentrically on the back surface side of a substrate  3  formed from a transparent resin, covering the surface of these minute grooves  4  with a reflective film  5 , and covering the reflective film  5  with a protective layer  6 . The thickness of the Fresnel mirror  2  is 0.1-1.0 mm, and the radius of curvature of a virtual arc based on the inclined surfaces  4 a  of the plurality of minute grooves  4  is 200-1000 mm.

Claim (Index 5):
The internal check mirror for an overhead bin according to  claim 4 , wherein a thickness of the rigid plate is from 0.1 to 1.0 mm, and a total thickness of the Fresnel mirror, the rigid plate, and an adhesion layer that is interposed between the Fresnel mirror and the rigid plate is from 0.2 to 1.0 mm.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 88.0
- Lexical Diversity: 1.83529
- Patent Class: 359.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13201678', '13877723', '10496151', '12911274', '14295764']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8335548879021184
- 35 USC 102 Novelty (BERT): 0.4792497226008487
- Combined Prediction Score: 0.7981243713719914
- Mean Citation Score: 139.131146
- Max Citation Score: 184.55992
- Similarity Product: 119.6911060124016

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