BOUNDARY TRAVERSAL SENSING APPARATUS AND SYSTEM COMPRISING SAME

    公开(公告)号:US20240310538A1

    公开(公告)日:2024-09-19

    申请号:US18183671

    申请日:2023-03-14

    CPC classification number: G01V1/226 G01V1/001

    Abstract: Disclosed herein are systems and methods configured to produce and monitor signals that characterize activities corresponding to intruders (e.g., persons and/or animals) traversing a boundary that at least partially defines a designated area. Such activities can characterize one or more persons traversing a boundary or attempting to traverse a barrier that defines the boundary. Sensors within a substrate that extends along the boundary can be used for producing such signals. The substrate can be soil of which ground at the boundary is comprised, a manmade material located within such soil or a material from which a barrier along the boundary is constructed. The sensors can be fiber optic sensors that extend contiguously along a length of the boundary and/or can be fiber optic sensors that are located at discrete locations along the length of the boundary. The signals can cause one or more responsive actions to be implemented.

    Low power gunshot detection implementation

    公开(公告)号:US12094485B1

    公开(公告)日:2024-09-17

    申请号:US18201205

    申请日:2023-05-24

    CPC classification number: G10L25/51 G01P13/00 G01V1/001

    Abstract: Techniques for low power gunshot detection are disclosed. Infrared information is collected using a gunshot sensor device. The infrared information is collected using mid-infrared band sensing to provide motion detection. Additional infrared information is buffered using the gunshot sensor device. The additional infrared information is collected using near-infrared band sensing. The buffering is enabled by the motion detection. Acoustic information is collected using the gunshot sensor device. The collecting acoustic information is enabled by the motion detection. A gunshot is detected using the gunshot sensor device. The detecting is based on the additional infrared information and the acoustic information. The detecting includes monitoring the acoustic information to identify a high-intensity gunshot sound and correlating the high-intensity gunshot sound to the infrared information that was buffered. The gunshot sensor device uses cable-free communication to a network and notifies the network of a possible gunshot occurrence.

    SPATIOTEMPORAL AND SPECTRAL CLASSIFICATION OF ACOUSTIC SIGNALS FOR VEHICLE EVENT DETECTION OVER DEPLOYED FIBER NETWORKS

    公开(公告)号:US20240241275A1

    公开(公告)日:2024-07-18

    申请号:US18414419

    申请日:2024-01-16

    CPC classification number: G01V1/288 G01V1/001 G01V1/226 G08G1/0104

    Abstract: Disclosed are machine learning (ML) based Distributed Fiber Optic Sensing (DFOS) systems, methods, and structures for Sonic Alert Pattern (SNAP) event detection performed in real time including an intelligent SNAP informatic system in conjunction with DFOS/Distributed Acoustic Sensing (DAS) and machine learning technologies that utilize SNAP vibration signals as an indicator. Without installation of additional sensors, vibration signals indicative of SNAP events are detected along a length of an existing optical fiber through DAS. Raw DFOS data is utilized—and not DFOS waterfall data—resulting in faster and more accurate information derivation as rich, time-frequency information in the raw DFOS/DAS waveform data is preserved. A deep learning module Temporal Relation Network (TRN) that accurately detects SNAP events from among chaotic signals of normal traffic is employed, making it reliable when applied to busy roads with dense traffic and vehicles of different speed.

    WIND DETECTION METHOD AND SYSTEM
    5.
    发明公开

    公开(公告)号:US20240184006A1

    公开(公告)日:2024-06-06

    申请号:US18065192

    申请日:2022-12-13

    CPC classification number: G01V1/36 G01H9/004 G01V1/001 G01V1/226

    Abstract: Methods, systems, and techniques for wind detection. A first acoustic signal generated by an acoustic sensor positioned to be actuated in response to wind is measured. An average value of the first acoustic signal over a sampling duration is determined. The average value may be a median, and the sampling duration may be at least 15 minutes. If the average value of the first acoustic signal satisfies a wind detection threshold, the first acoustic signal is determined to be generated by the wind.

    METHOD AND APPARATUS OF DISTRIBUTED ACOUSTIC SENSING

    公开(公告)号:US20240134076A1

    公开(公告)日:2024-04-25

    申请号:US18390981

    申请日:2023-12-20

    Applicant: EXFO Inc.

    CPC classification number: G01V1/226 G01V1/001

    Abstract: There is provided a method and an apparatus of fiber optic distributed acoustic sensing (DAS) which use a simple, reliable and robust signal processing for amplitude-based DAS measurements. 1) The lack of linearity of the amplitude-based DAS measurements (due to its unpredictable variation of the transfer function along the fiber) can be improved by normalizing the amplitude vs distance using an amplitude-normalization trace obtained from either a) coherent laser OTDR measurements with laser frequency dithering or b) computing a normalization trace from the coherent OTDR/DAS traces and the un-coherent OTDR/DAS traces. 2) Instrument offset (e.g., due to low vertical sampling resolution) may further be corrected using un-coherent OTDR/DAS traces to extract an instrument system offset.

    INTRUSION DETECTION ALGORITHM WITH WIND REJECTION HEURISTIC

    公开(公告)号:US20240061137A1

    公开(公告)日:2024-02-22

    申请号:US17890359

    申请日:2022-08-18

    CPC classification number: G01V1/36 G01V1/226 G01V1/001

    Abstract: A method is provided for analyzing a monitoring signal from a sensing system to determine an alarm condition, where the monitoring signal is provided as a stream of digital values which are analyzed using a frequency-based transform to generate a set of transform coefficients which are compared to a set of envelope coefficients. The sensitivity of the analysis is automatically controlled to accommodate environmental noise on the fiber by increasing the envelope coefficients to make the analysis less sensitive at each cycle by adopting the larger value from the comparison and by decaying the envelope coefficients at each cycle over time to a smaller value down to a floor value.

    AUDIO-BASED OCCUPANCY DETECTION
    8.
    发明公开

    公开(公告)号:US20240019596A1

    公开(公告)日:2024-01-18

    申请号:US18350279

    申请日:2023-07-11

    Inventor: David Mannfeld

    CPC classification number: G01V1/001 F24F2120/10

    Abstract: In embodiments of the disclosure, an occupancy detector includes a processor operable to perform processor operations that include receiving audio signals from a plurality of sources; performing analysis on the audio signals; and, based at least in part on a result of the analysis performed on the audio signals, making a determination of the audio signals that resulted from an action of a person located within an indoor area-under-evaluation.

    METHOD AND APPARATUS OF DISTRIBUTED ACOUSTIC SENSING

    公开(公告)号:US20240012167A1

    公开(公告)日:2024-01-11

    申请号:US18329133

    申请日:2023-06-05

    Applicant: EXFO Inc.

    CPC classification number: G01V1/226 G01V1/001

    Abstract: There is provided a method and an apparatus of fiber optic distributed acoustic sensing (DAS) which can use low-cost coherent laser as well as low-cost acquisition and processing electronics and which can still provide reliable monitoring results for optical fiber monitoring and troubleshooting applications in optical fiber telecommunication networks. Such low-cost solution is made possible by employing grouped data signal processing. Data is processed over independent groups of data to provide an independent DAS signal for each group. This allows measurements to be less sensitive to laser fluctuations and thereby reduces coherent laser technical specification requirements and allows the use of a low-cost coherent laser (thereby reducing the cost of the laser) as well as low-cost acquisition and processing electronics.

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