PATENT CLAIM ANALYSIS

Application Number: 16265675
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-08
Patent Classification: ["345", "419000"]

Abstract:
The disclosure relates to systems and processes for generating verified wireframes corresponding to at least part of a structure or element of interest can be generated from 2D images, 3D representations (e.g., a point cloud), or a combination thereof. The wireframe can include one or more features that correspond to a structural aspect of the structure or element of interest. The verification can comprise projecting or overlaying the generated wireframe over selected 2D images and/or a point cloud that incorporates the one or more features. The wireframe can be adjusted by a user and/or a computer to align the 2D images and/or 3D representations thereto, thereby generating a verified wireframe including at least a portion of the structure or element of interest. The verified wireframes can be used to generate wireframe models, measurement information, reports, construction estimates or the like.

Claim (Index 32):
The method of  claim 30 , wherein the machine learning system is generated, at least in part, by:\n a. presenting, to a user, at least one 2D image or a 3D view of a scene incorporating the structure or element of interest, wherein a plurality of scene regions are present in the at least one 2D image or the 3D view; b. identifying, by either or both of user interaction or by the computer, the structure or element of interest in a first scene region, thereby providing a first identified structure or element; c. generating, by either or both of user interaction or by the computer, an unverified wireframe for the first identified structure or element; d. verifying, at least in part by user interaction, the unverified wireframe as corresponding to the first identified structure or element, thereby providing a user-verified wireframe for the first identified structure or element; and e. recording, by the computer, information associated with user interactions for use in the machine learning system.

Metadata:
- Claim Count in Document: 55.0
- Percentile: 99.0
- Lexical Diversity: 2.08108
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15683703', '13019228', '15418741', '15875149', '14861110']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5892759212956262
- 35 USC 102 Novelty (BERT): 0.5668944598379478
- Combined Prediction Score: 0.5870377751498584
- Mean Citation Score: 221.92623
- Max Citation Score: 405.1102
- Similarity Product: 314.3716335239768

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