PATENT CLAIM ANALYSIS

Application Number: 16007069
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["358", "475000"]

Abstract:
Method and systems of automated document processing described herein include activating in sequence a plurality of illumination modules of an illumination source to illuminate a document, where the plurality of illumination modules are located at different positions relative to the document. The document can be imaged each time the document is illuminated by an illumination module to provide a plurality of images. A shadow profile of the document can be obtained based on the plurality of images. One or more of a boundary of the document and presence of a fastener attached to the document can be identified using the shadow profile. Any fasteners present may be removed using a robot arm.

Claim (Index 11):
The system of  claim 9 , further comprising a document transfer end-effector comprising:\n a body; a suction applicator extending from a lower surface of the body, wherein the suction applicator is configured to apply a suction force upon at least a portion of a document to lift the document; and a document pincher comprising a rotatable arm configured to be rotated towards the body to contact the document and pinch the document between the document pincher and a lower surface of the body.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 94.0
- Lexical Diversity: 1.81538
- Patent Class: 358.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15440471', '10653491', '14808235', '14928971', '12030902']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4793671412265201
- 35 USC 102 Novelty (BERT): 0.501883886916805
- Combined Prediction Score: 0.4816188157955486
- Mean Citation Score: 157.06479199999995
- Max Citation Score: 174.15497
- Similarity Product: 100.6642004904437

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