PATENT CLAIM ANALYSIS

Application Number: 16397890
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["455", "500000"]

Abstract:
Novel tools and techniques are provided for implementing self-organizing mobile networks (“SOMNETs”) of drones and platforms. In various embodiments, a computing system might receive first data from each of a plurality of vehicles; might receive second data from each of a plurality of platforms; might analyze the first data to determine a status of each vehicle; and might analyze the second data to determine a status of each platform. Based at least in part on the analyzed first and second data, the computing system might generate at least one of first control instructions to at least one first vehicle of the plurality of vehicles or second control instructions to at least one first platform of the plurality of platforms that respectively cause the at least one first vehicle to perform one or more first actions or cause the at least one first platform to perform one or more second actions.

Claim (Index 9):
The method of  claim 1 , wherein the one or more first actions comprise at least one of establishing wireless network communications between a built-in mobile wireless base station and at least one wireless network node of a telecommunications network to augment wireless network functionality, establishing wireless network communications between a built-in mobile wireless base station and at least one wireless network node of a telecommunications network to extend wireless network functionality, monitoring for vehicular accidents, monitoring for criminal activities, monitoring for man-made disasters, monitoring for natural disasters, tracking real-time traffic patterns, tracking one or more weather conditions, recovering one or more lost vehicles, recovering one or more damaged vehicles, delivering one or more packages, tracking one or more packages being delivered, or repairing one or more telecommunications equipment.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 100.0
- Lexical Diversity: 2.6129
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15840165', '15840265', '15810523', '15389983', '15390023']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7345608740958229
- 35 USC 102 Novelty (BERT): 0.5610908769864184
- Combined Prediction Score: 0.7172138743848825
- Mean Citation Score: 255.369514
- Max Citation Score: 422.13693
- Similarity Product: 407.3872122168124

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

Dataset: test