PATENT CLAIM ANALYSIS

Application Number: 16277424
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-08
Patent Classification: ["701", "436000"]

Abstract:
An augmented reality visualization framework for precision traffic analysis combines traffic data with content representative of physical-world characteristics, such as conditions in an intersection or roadway in which traffic activity occurs, and images of the intersection and roadway itself. The framework includes a visualization platform that enables display of the combined traffic data and content representing physical-world characteristics, and continual augmentations of such information in response to adjustments directed by users or automatically detected from actions such as user movement, other user manipulation, or movement of the visualization platform itself. The framework enables traffic applications such that a user can, when the platform is interfaced with intersection or roadway equipment, adjust machine activity or signal timing based upon the visualizations or data presented via the visualization platform. The visualization platform may also be configured to present the traffic data, and the content representative of physical-world characteristics, in a virtual reality setting.

Claim (Index 20):
The method of  claim 12 , wherein the continually augmenting the input data further comprises creating a virtual reality visualization of the physical-world characteristic with which the user can interact using the visualization platform, wherein the augmented reality visualization is blended with the virtual reality visualization.

Metadata:
- Claim Count in Document: 25.0
- Percentile: 99.0
- Lexical Diversity: 2.0
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14702709', '15268195', '14702707', '15603086', '14703854']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3601485103446146
- 35 USC 102 Novelty (BERT): 0.471575434287753
- Combined Prediction Score: 0.3712912027389284
- Mean Citation Score: 160.769264
- Max Citation Score: 167.20563
- Similarity Product: 129.70849865154864

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