PATENT CLAIM ANALYSIS

Application Number: 16372640
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["455", "457000"]

Abstract:
Methods for emergency visualization are disclosed. The methods include a computer-implemented method for interactive emergency visualization that includes receiving a notification concerning an incident associated with a multi-floor structure, requesting location information from a user device geographically associated with the multi-floor structure, and receiving, in response to the request, a beacon identifier from the user device, the beacon identifier being associated with a beacon disposed within the multi-floor structure. The method also includes determining on which floor of the multi-floor structure the user device is located based on the beacon identifier and stored information indicating the location of the beacon and displaying a graphical map of the multi-floor structure and information indicating the specific floor on which the user device is located.

Claim (Index 20):
The method of  claim 19 , wherein the first tier grants greater abilities to view and modify the aspects of the generated visualization than the second tier, wherein the second tier grants greater abilities to view and modify the aspects of the generated visualization than the third tier.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 100.0
- Lexical Diversity: 2.20339
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15495497', '15783196', '14204084', '15388441', '15374543']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7986668529746671
- 35 USC 102 Novelty (BERT): 0.5749707891932323
- Combined Prediction Score: 0.7762972465965237
- Mean Citation Score: 341.94811
- Max Citation Score: 439.0243
- Similarity Product: 232.5039042571485

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