GunClaims
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Nov 4, 2025

US12460963 - Gunshot detection via classification using deep learning and fiber sensing technologies

A machine learning (ML)/artificial intelligence (AI) based distributed fiber optic sensing (DFOS) system and method providing detection and localization of gunshot events. In addition to the ML/AI DFOS, a signal processing pipeline that compresses an audible distributed acoustic sensing (DAS) waveform data into a small set of features that protects privacy of individuals while preserving the utility of acoustic events to detect the gunshot events and discriminate same from other events. A data-driven deep learning approach automatically predicts acoustic event types with higher accuracy that realized by prior art methods.

The patent describes a distributed fiber optic sensing system that utilizes machine learning and artificial intelligence to detect and localize gunshot events while preserving individual privacy. The system processes acoustic data to accurately classify impulsive events, distinguishing between those that require intervention and those that do not.

Claim 1

1 . A method for detecting impulsive events using distributed fiber optic sensing (DFOS), the method comprising: providing the DFOS system including: a length of optical sensing fiber; an optical interrogator configured to generate optical pulses, introduce the generated optical pulses into the optical sensing fiber and receive Rayleigh reflected signals from the optical sensing fiber; an artificial intelligence (AI) analyzer configured to analyze the Rayleigh reflected signals received by the optical interrogator and determine the existence and nature of the impulsive events; operating the DFOS system and determining existence and nature of the impulsive events; and distinguishing, from their determined nature, impulsive events requiring an intervention from impulsive events requiring no intervention. providing the DFOS system including: a length of optical sensing fiber; an optical interrogator configured to generate optical pulses, introduce the generated optical pulses into the optical sensing fiber and receive Rayleigh reflected signals from the optical sensing fiber; an artificial intelligence (AI) analyzer configured to analyze the Rayleigh reflected signals received by the optical interrogator and determine the existence and nature of the impulsive events; a length of optical sensing fiber; an optical interrogator configured to generate optical pulses, introduce the generated optical pulses into the optical sensing fiber and receive Rayleigh reflected signals from the optical sensing fiber; an artificial intelligence (AI) analyzer configured to analyze the Rayleigh reflected signals received by the optical interrogator and determine the existence and nature of the impulsive events; operating the DFOS system and determining existence and nature of the impulsive events; and distinguishing, from their determined nature, impulsive events requiring an intervention from impulsive events requiring no intervention.

Google Patents

https://patents.google.com/patent/US12460963

USPTO PDF

https://image-ppubs.uspto.gov/dirsearch-public/print/downloadPdf/12460963