PATENT CLAIM ANALYSIS

Application Number: 16264085
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-08
Patent Classification: ["382", "103000"]

Abstract:
Systems, methods, and apparatus for identifying and tracking UAVs including a plurality of sensors operatively connected over a network to a configuration of software and/or hardware. Generally, the plurality of sensors monitors a particular environment and transmits the sensor data to the configuration of software and/or hardware. The data from each individual sensor can be directed towards a process configured to best determine if a UAV is present or approaching the monitored environment. The system generally allows for a detected UAV to be tracked, which may allow for the system or a user of the system to predict how the UAV will continue to behave over time. The sensor information as well as the results generated from the systems and methods may be stored in one or more databases in order to improve the continued identifying and tracking of UAVs.

Claim (Index 32):
A method for identifying unmanned aerial vehicles (UAVs), comprising the steps of:\n receiving a plurality of pixels corresponding to a frame captured via an image capturing device configured to monitor a particular air space; identifying at least one region of interest (ROI) in the frame, the at least one ROI comprising an image of an object that may be a UAV flying within the particular air space, wherein the at least one ROI comprises a subset of the plurality of pixels, and wherein the at least one ROI includes a first ROI inter-frame position and a first ROI velocity; performing a scene learning process with respect to the at least one ROI to determine whether the at least one ROI is part of a learned scene represented by the frame, the scene learning process comprising the steps of:\n comparing the first ROI inter-frame position and the first ROI velocity of the at least one ROI to a plurality of stored ROI inter-frame positions and a plurality of stored ROI velocities of a plurality of stored ROIs to determine if the at least one ROI substantially matches any of the plurality of stored ROIs, wherein the plurality of stored ROIs are associated with substantially reoccurring objects in the particular air space; and \n upon determination that the at least one ROI does not substantially match any of the plurality of stored ROIs, performing an object classification process with respect to the at least one ROI to determine whether the object in the image is a UAV, the object classification process comprising the steps of:\n extracting image data from the image of the at least one ROI; \n comparing the extracted image data to prior image data of objects known to be UAVs to determine a probability that the object in the image is a UAV; and \n upon determination that the probability that the object in the image is a UAV exceeds a predetermined threshold, denoting the object in the image as a UAV.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 99.0
- Lexical Diversity: 1.8625
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15346269', '15346251', '15346287', '14989428', '15046390']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2962181600120887
- 35 USC 102 Novelty (BERT): 0.5438252351257331
- Combined Prediction Score: 0.3209788675234531
- Mean Citation Score: 256.362034
- Max Citation Score: 381.1907
- Similarity Product: 348.201645070076

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