PATENT CLAIM ANALYSIS

Application Number: 15942786
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["345", "427000"]

Abstract:
A process for receiving, from a computing device, a series of captured building images. The process continues by processing, in real-time, each building image in the series of captured building images to determine if each building image meets a minimum criterion, wherein the minimum criteria includes applicability to be used in constructing a specific digital multi-dimensional building model. The process continues by aggregating each image meeting the minimum criteria, determining when a base set of building images has been aggregated, wherein the base set of building images includes a threshold number images to model at least a partial multi-dimensional building model representing the series of captured building images, determining one or more facades present in the partial multi-dimensional building model, determining preliminary dimensions for one or more architectural features of the one or more facades and returning, incrementally (in real-time), the preliminary dimensions to the computing device.

Claim (Index 11):
The method of  claim 10  wherein the plurality of architectural features is selected from a group: roofing, siding, paint, windows, doors, or vents.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 91.0
- Lexical Diversity: 2.32857
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15942733', '15475932', '15166587', '15348038', '15817620']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6124336174800511
- 35 USC 102 Novelty (BERT): 0.4926117017298197
- Combined Prediction Score: 0.600451425905028
- Mean Citation Score: 175.17220000000003
- Max Citation Score: 201.01115
- Similarity Product: 146.84941272158918

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

Dataset: test