PATENT CLAIM ANALYSIS

Application Number: 16179401
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-05
Patent Classification: ["703", "002000"]

Abstract:
A non-transitory processor-readable medium includes code to cause a processor to receive aerial data having a plurality of points arranged in a pattern. An indication associated with each point is provided as an input to a machine learning model to classify each point into a category from a plurality of categories. For each point, a set of points (1) adjacent to that point and (2) having a common category is identified to define a shape from a plurality of shapes. A polyline boundary of each shape is defined by analyzing with respect to a criterion, a position of each point associated with a border of that shape relative to at least one other point. A layer for each category including each shape associated with that category is defined and a computer-aided design file is generated using the polyline boundary of each shape and the layer for each category.

Claim (Index 5):
The non-transitory processor-readable medium of  claim 1 , the code further comprising code to cause the processor to:\n select, from a set of categories, the category for a point from the plurality of points based on a predefined category hierarchy, each category from the set of categories being from the plurality of categories, the point being classified by the machine learning model to the set of categories.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 98.0
- Lexical Diversity: 2.03846
- Patent Class: 703.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15845620', '13155942', '16154332', '14954820', '15653442']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2303590352857167
- 35 USC 102 Novelty (BERT): 0.4658035240865333
- Combined Prediction Score: 0.2539034841657984
- Mean Citation Score: 148.176946
- Max Citation Score: 150.89206
- Similarity Product: 115.35909673863767

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