PATENT CLAIM ANALYSIS

Application Number: 15765350
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["340", "541000"]

Abstract:
This invention provides a system and method that is used to detect gunfire or explosions in an area with a sound system such as a movie, stage or theater setting, by differentiating the sounds in the presentation from those occurring in the physical location and automatically alerting authorities of the event in the movie or stage theater setting.

Claim (Index 1):
A method to detect an event in an area having a broadcasting audio system, wherein a presentation is occurring in the area using the broadcasting audio system; comprising the steps of:\n positioning a plurality of spaced apart acoustic sensor units in the area to provide an area audio signal; receiving a presentation audio signal directly from an output of the broadcasting audio system at a central processor; separately receiving the area audio signal and the presentation audio signal at the central processor; determining a differential audio data by subtracting the presentation audio signal from the area audio signal; and computing if an event is occurring in the area by analyzing the differential audio data for temporal and frequency spectrum content characteristics of the event, wherein the event is a gunshot or an explosion in the area.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 91.0
- Lexical Diversity: 1.4186
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14832975', '11617521', '11267667', '15440902', '16087129']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6379000712401879
- 35 USC 102 Novelty (BERT): 0.49205029849447
- Combined Prediction Score: 0.6233150939656161
- Mean Citation Score: 127.416256
- Max Citation Score: 135.20999
- Similarity Product: 89.54883367213131

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