PATENT CLAIM ANALYSIS

Application Number: 16275575
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["342", "443000"]

Abstract:
Systems and methods for automated unmanned aerial vehicle recognition. A multiplicity of receivers captures RF data and transmits the RF data to at least one node device. The at least one node device comprises a signal processing engine, a detection engine, a classification engine, and a direction finding engine. The at least one node device is configured with an artificial intelligence algorithm. The detection engine and classification engine are trained to detect and classify signals from unmanned vehicles and their controllers based on processed data from the signal processing engine. The direction finding engine is operable to provide lines of bearing for detected unmanned vehicles.

Claim (Index 1):
A system for unmanned vehicle (UV) recognition in a radio frequency (RF) environment, comprising:\n a multiplicity of RF receivers and a displaying device in network communication with at least one node device; wherein the multiplicity of RF receivers is operable to capture RF data in the RF environment, convert the RF data to fast Fourier transform (FFT) data, and transmit the FFT data to the at least one node device; wherein the at least one node device comprises a signal processing engine, a detection engine, and a direction-finding engine, and wherein the at least one node device is configured with an artificial intelligence (AI) algorithm; wherein the signal processing engine is operable to average the FFT data into at least one tile; wherein the detection engine is operable to detect at least one signal related to at least one UV and corresponding at least one UV controller in the least one tile based on the AI algorithm; wherein the direction-finding engine is operable to calculate a line of bearing for the at least one UV; and wherein the displaying device is operable to display the line of bearing of the at least one UV.

Metadata:
- Claim Count in Document: 18.0
- Percentile: 99.0
- Lexical Diversity: 1.9
- Patent Class: 342.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16274933', '15634575', '16180690', '16053076', '15368269']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5251683128615106
- 35 USC 102 Novelty (BERT): 0.4612388326808901
- Combined Prediction Score: 0.5187753648434485
- Mean Citation Score: 175.737128
- Max Citation Score: 203.41649
- Similarity Product: 178.6981824752569

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