PATENT CLAIM ANALYSIS

Application Number: 16018408
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-01
Patent Classification: ["358", "498000"]

Abstract:
There is provided an image reading apparatus including: a reading unit that reads a document; a document transport unit that transports the document toward the reading unit; a binding member detector that detects a binding member binding the document by detecting a change in a magnetic field when the document passes through the magnetic field; a document detector that detects passage of the document when the document passes through the binding member detector; and a controller that receives information on the document detected by the document detector and information on the change in the magnetic field detected by the binding member detector, in which in a case where the binding member detector detects the change in the magnetic field in a document undetected state in which the document detector does not detect the passage of the document, the controller executes a predetermined process.

Claim (Index 6):
The image reading apparatus according to  claim 4 ,\n wherein the binding member detector causes the magnetic field generating coil to stop forming the magnetic field after the document undetected state in which both of the first document detector and the second document detector do not detect the document.

Metadata:
- Claim Count in Document: 12.0
- Percentile: 94.0
- Lexical Diversity: 2.84906
- Patent Class: 358.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13293164', '13478758', '13137376', '11357188', '11705834']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.506750808103959
- 35 USC 102 Novelty (BERT): 0.5033293744053299
- Combined Prediction Score: 0.5064086647340961
- Mean Citation Score: 157.057048
- Max Citation Score: 166.38527
- Similarity Product: 95.74149506435276

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