PATENT CLAIM ANALYSIS

Application Number: 16258034
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-08
Patent Classification: ["382", "254000"]

Abstract:
A method and system including: defining a geographic area; receiving a plurality of images; determining a plurality of image points; partitioning the geographic area into a plurality of image regions based on the plurality of image points; and stitching the plurality of images into a combined image based on the plurality of image regions.

Claim (Index 9):
A system comprising:\n an unmanned aerial vehicle (UAV) comprising:\n a processor having addressable memory; \n a sensor in communication with the processor, the sensor configured to capture a plurality of images; and \n wherein the processor is configured to:\n receive a geographic area; \n receive a plurality of images from the sensor; \n determine a plurality of image points, wherein each image point is a geographic location of a center field of view of each image; \n partition the geographic area into a plurality of image regions based on the plurality of image points, wherein each pixel in each image region is closer to a closest image point than any other image point; and \n stitch the plurality of images into a combined image based on the plurality of image regions, wherein each pixel in the combined image is selected from its corresponding image region.

Metadata:
- Claim Count in Document: 18.0
- Percentile: 99.0
- Lexical Diversity: 2.22222
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13215367', '13215366', '15960413', '12591366', '12221571']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3214684907123905
- 35 USC 102 Novelty (BERT): 0.496722282204061
- Combined Prediction Score: 0.3389938698615575
- Mean Citation Score: 198.03377
- Max Citation Score: 210.98117
- Similarity Product: 137.62163393089529

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