PATENT CLAIM ANALYSIS

Application Number: 16152805
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-04
Patent Classification: ["381", "086000"]

Abstract:
A Shipboard Auditory Sensor (SAS) for detection and classification of acoustic signaling at sea is capable of detecting whistles blasts from other vessels in accordance with Rules 34 and 35 of COLREGS to support autonomous operations in a maritime environment.

Claim (Index 7):
An auditory sensor assembly for sensing audio signals from one or more maritime vessels to assist a primary maritime vessel with navigation, the auditory sensor assembly comprising:\n a microphone array housing having a top and bottom plate separated by multiple spacers; a microphone array affixed to an inside facing surface of one of the top and bottom plates, wherein the microphone array includes multiple individual microphone assemblies, each of the individual microphone assemblies including a microphone housing with a pre-amplifier and a microphone therein; a filter and a data acquisition board attached to the microphone array housing, wherein the sensed audio signals are determined by the auditory sensor to be in a first specified auditory range and are indicative of a status of the one or more maritime vessels, said status being useful for assisting the primary maritime vessel with navigation.

Metadata:
- Claim Count in Document: 16.0
- Percentile: 97.0
- Lexical Diversity: 1.10256
- Patent Class: 381.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15635106', '15007788', '15916839', '14968161', '10630620']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6665412384735427
- 35 USC 102 Novelty (BERT): 0.6071858714924232
- Combined Prediction Score: 0.6606057017754308
- Mean Citation Score: 320.410478
- Max Citation Score: 534.73676
- Similarity Product: 478.3692764810037

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test