PATENT CLAIM ANALYSIS

Application Number: 15927204
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["382", "219000"]

Abstract:
A computer-implemented method includes receiving a first 3D model and a second 3D model, wherein the first 3D model represents a first set of objects and the second 3D model represents includes a second set of objects. The computer-implemented method further includes scanning each of the first 3D model and the second 3D model to identify the first set of objects and the second set of objects, wherein the first set of objects and the second set of objects have at least one common object. The computer-implemented method further includes comparing the first set of objects to the second set of objects to yield one or more differences. The computer-implemented method further includes sorting each of the one or more differences based on a set of rules to yield a list of differences. A corresponding computer system and computer program product are also disclosed.

Claim (Index 2):
The computer-implemented method of  claim 1 , wherein receiving said first 3D model and said second 3D model further comprises:\n for at least one said first 3D model and said second 3D model:\n receiving one or more 2D images; and \n reconstructing said one or more 2D images into a 3D model.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 90.0
- Lexical Diversity: 3.08163
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15075629', '14612406', '14557232', '10838935', '13101401']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.332182959873883
- 35 USC 102 Novelty (BERT): 0.506105412708018
- Combined Prediction Score: 0.3495752051572965
- Mean Citation Score: 180.196176
- Max Citation Score: 311.3701200000001
- Similarity Product: 309.37655657564886

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

Dataset: test