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 12):
The method of  claim 1 , wherein the one or more second vehicles each comprises at least one of a vehicle or a drone, wherein each of the one or more second vehicles comprises at least one of one or more cameras or one or more microphones, wherein the method further comprises:\n monitoring, with the at least one of one or more cameras or one or more microphones, at least one of one or more vehicular accidents, one or more criminal activities, one or more man-made disasters, or one or more natural disasters; receiving, with the computing system, at least one of video or audio content from the monitored at least one of one or more vehicular accidents, one or more criminal activities, one or more man-made disasters, or one or more natural disasters; and sending, with the computing system, one or more messages to at least one of one or more law enforcement agencies, one or more emergency response agencies, one or more towing service companies, or one or more federal agencies, based at least in part on the received at least one video or audio content.

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): 0.735592057656044
- 35 USC 102 Novelty (BERT): 0.5588271421630127
- Combined Prediction Score: 0.7179155661067409
- Mean Citation Score: 255.369514
- Max Citation Score: 422.13693
- Similarity Product: 382.5398031078565

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