PATENT CLAIM ANALYSIS

Application Number: 15907987
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-06
Patent Classification: ["703", "001000"]

Abstract:
An automated method is disclosed that classifies a first component and a second component of a roof with data points being part of, or extracted from at least one image. The first component and the second component have a ridge, at least one eave parallel to the ridge and a rectangular base. Evidence of a soft constraint and a hard constraint is identified via the data points and such evidence is associated with the first component and the second component. At least one hypothesis model of the roof is generated using relationships between the first component and the second component, the soft constraint and the hard constraint. The hypothesis model is transformed into a three dimensional model, and the three dimensional model is used to generate a roof report of the roof.

Claim (Index 3):
The one or more non-transitory computer readable medium storing the set of computer executable instructions for running on one or more computer systems of  claim 1 , wherein a first hypothesis model and a second hypothesis model of the roof are determined.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 88.0
- Lexical Diversity: 2.35
- Patent Class: 703.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15428860', '12909692', '14046702', '13019228', '14219906']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2078533752117154
- 35 USC 102 Novelty (BERT): 0.4682292334404714
- Combined Prediction Score: 0.233890961034591
- Mean Citation Score: 143.94293199999996
- Max Citation Score: 178.36145
- Similarity Product: 147.7921560368061

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

Dataset: test