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 13):
A system for generating an alert for an event in an area with a broadcasting audio system comprising:\n at least one acoustic sensor unit configured to detect an audio signal of an event within the area; the broadcasting audio system; a central processing unit configured to receive an output from the least one sensor and an output from the audio system, wherein the central processor is configured to compute if the 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 and wherein the central data processing unit is configured to determine if the signal corresponding to the audio signal of an event within the area is a false event or is a trigger event; and a system output that causes an external alarm notification, if a trigger event is detected 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): 0.6443621466490863
- 35 USC 102 Novelty (BERT): 0.4662027755991865
- Combined Prediction Score: 0.6265462095440963
- Mean Citation Score: 127.416256
- Max Citation Score: 135.20999
- Similarity Product: 108.5910099910128

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