PATENT CLAIM ANALYSIS

Application Number: 16001993
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["358", "003260"]

Abstract:
A scanner having: a first mirror having multiple concavities configured to reflect light from a document; a sensor configured to sense light reflected by a concavity of the first mirror; and a wall disposed to the first mirror and protruding from between the multiple concavities.

Claim (Index 3):
The scanner described in  claim 2 , wherein:\n the first concavity and the second concavity are aligned adjacently in a main scanning direction; the sensor chips are aligned in the main scanning direction; and the wall protrudes from between the first concavity and the second concavity to a height Hdm equal to (0<H dm <L\u2212(q+W dm )/(2 tan \u03b8 2 )) where\n L is a distance to the first mirror from a virtual plane, which is a position where an image formed through the first mirror on the sensor chip is in focus, \n q is the length of the defined range on the main scanning line in the virtual plane, \n \u03b8 2  is the angle, in a plane including a principal ray from an end of the defined range and the main scanning line, between a perpendicular to the main scanning line and the principal ray, and \n W dm  is a width in the main scanning direction of the wall disposed to a position equidistant from the first concavity and the second concavity.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 94.0
- Lexical Diversity: 1.68966
- Patent Class: 358.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15976941', '15976932', '15637982', '15825877', '16333123']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5289695085168353
- 35 USC 102 Novelty (BERT): 0.494530355862962
- Combined Prediction Score: 0.525525593251448
- Mean Citation Score: 196.369414
- Max Citation Score: 239.34753
- Similarity Product: 186.67283431729675

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