PATENT CLAIM ANALYSIS

Application Number: 15906403
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["340", "984000"]

Abstract:
Disclosed are a system and method for undersea navigation with a maritime vehicle or diver undersea navigation device. A sensor interface receives navigation information from a plurality of sensors used to sense navigation information. A processor receives the navigation information from the sensor interface. The processor converts the navigation information into graphics data. The processor provides the graphics data to a graphics processing unit to render a navigation board image on a display of the maritime vehicle or diver undersea navigation device. The navigation board image comprises a plurality of navigation indicators to indicate the navigation information and a compass comprising a plurality of rotational orientation indicators to indicate rotational orientation information. The rotational orientation indicators include a plurality of heading direction indicators, a current heading indicator, and a plurality of pitch indicators, where the plurality of pitch indicators indicate pitch information.

Claim (Index 3):
The underwater navigation system of  claim 2 , wherein the sonar sensor is configured to transmit acoustic signals indicating the presence of obstacles.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 88.0
- Lexical Diversity: 2.62069
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['11856449', '10802081', '15700400', '12359567', '15845646']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6874483667544885
- 35 USC 102 Novelty (BERT): 0.4800866506862587
- Combined Prediction Score: 0.6667121951476656
- Mean Citation Score: 154.594464
- Max Citation Score: 165.56107
- Similarity Product: 124.19603550981462

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