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 18):
The automated method of  claim 13 , wherein generating at least one hypothesis model of the roof comprises generating a first hypothesis model and a second hypothesis model of the roof, and further comprising determining a first score for the first hypothesis model and a second score for the second hypothesis model by at least comparing the first hypothesis model and the second hypothesis model with at least one model stored within a model database, the first score and the second score being different.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 88.0
- Lexical Diversity: 2.35
- Patent Class: 703.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15428860', '12909692', '14046702', '13019228', '14219906']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1837800490270745
- 35 USC 102 Novelty (BERT): 0.498823062185271
- Combined Prediction Score: 0.2152843503428942
- Mean Citation Score: 143.94293199999996
- Max Citation Score: 178.36145
- Similarity Product: 108.7265791516006

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