PATENT CLAIM ANALYSIS

Application Number: 16264154
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-08
Patent Classification: ["701", "003000"]

Abstract:
System and methods for managing one or more unmanned aerial vehicles. The system can include an unmanned aerial vehicle, a landing station for the unmanned aerial vehicle, and a loading station for receiving a package and unmanned aerial vehicle. The unmanned aerial vehicle can be configured to: (i) determine a first confidence level for landing on the landing station, (ii) travel, based on the first confidence level, to the landing station, and (iii) determine a second confidence level for delivering the package to a delivery destination. The loading station can be configured to: (i) receive the second confidence level to deliver the package to the delivery destination from the unmanned aerial vehicle, and (ii) confirm, based on the second confidence level, the unmanned aerial vehicle is capable of delivering the package to the delivery destination.

Claim (Index 16):
The system of  claim 15 , additionally comprising:\n a maintenance station for maintaining operation of said unmanned aerial vehicle, wherein the maintenance station is in communication with said landing station, wherein said maintenance station is configured to receive said unmanned aerial vehicle if said first confidence level is below a predefined threshold.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 3.01887
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14818329', '13890165', '14696588', '14873399', '15018423']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4412550782168486
- 35 USC 102 Novelty (BERT): 0.4857411277951386
- Combined Prediction Score: 0.4457036831746776
- Mean Citation Score: 224.06586
- Max Citation Score: 242.85866
- Similarity Product: 192.7478518663049

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

Dataset: test