PATENT CLAIM ANALYSIS

Application Number: 15942000
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-10
Patent Classification: ["345", "419000"]

Abstract:
A method is disclosed for generating a three-dimensional (3D) model of a target object. The method includes obtaining one or more image capture settings and capturing, using the one or more image capture settings, a plurality of two-dimensional (2D) images each including at least a portion of a coded target and at least a portion of the target object. The method further includes transmitting the plurality of 2D images to a model generation server and generating, by the model generation server based on the plurality of 2D images, the 3D model of the target object and one or more model characteristics of the 3D model.

Claim (Index 14):
The system of  claim 13 , further comprising:\n a second camera group controller that controls a second plurality of cameras, wherein the second camera group controller obtains the one or more image capture settings, wherein the second camera group controller triggers the second plurality of cameras to capture, using the one or more image capture settings, a second plurality of 2D images each including a coded target and at least a portion of the target object, and wherein the second plurality of cameras transmit the second plurality of 2D images to the model generation server via the second camera group controller.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 90.0
- Lexical Diversity: 2.36735
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16066191', '14946133', '14106140', '11019931', '14143498']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.643681301254772
- 35 USC 102 Novelty (BERT): 0.4819664036226272
- Combined Prediction Score: 0.6275098114915575
- Mean Citation Score: 181.63496
- Max Citation Score: 185.57207
- Similarity Product: 130.21264230795623

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

Dataset: test