A system for locating a sound source includes at least four emitter/receiver pairs, each emitter/receiver pair of the at least four emitter/receiver pairs including a laser emitter and a receiver external to an enclosed structure. The laser directs a laser beam onto a respective reflector surface location on an outer surface of the structure, the respective reflector surface location being caused to vibrate due to sound waves generated from a sound source at a sound source location within the enclosed structure. The receiver receives vibrational signals from the laser beam on the surface at the respective reflector surface location and converting the vibrational signals to acoustic signals. A processor coupled to the emitter/receiver pairs for utilizing the acoustic signals to determine a time difference of arrival of the sound waves to the respective reflector surface locations to determine the sound source location based on the time difference of arrivals.

A system includes at least one earpiece wherein each earpiece comprises an earpiece housing, a light source operatively connected to each earpiece housing and configured to transmit substantially coherent light toward an outer surface of a user's body, a light receiver operatively connected to the earpiece housing proximate to the light source and configured to receive reflected light from the outer surface of the user's body, and one or more processors disposed within the earpiece housing and operatively connected to the light source and light receiver, wherein one or more processors is configured to determine bone vibration measurements from the reflected light. A method of determining bone vibrations includes providing at least one earpiece, transmitting substantially coherent light toward an outer surface of a user's body using the earpiece, receiving reflected light from the outer surface of the user's body using the earpiece, and determining bone vibration measurements using the earpiece.

A method for the spatial tomography of sound includes the following steps: contactlessly capturing a physical parameter for a first and a second multitude of local regions in space along a first and a second laser beam as well as calculating a voxel model of the sound pressure over time per local region of the first and second multitudes based on the captured physical parameter.

A system includes at least one earpiece wherein each earpiece comprises an earpiece housing, a light source operatively connected to each earpiece housing and configured to transmit substantially coherent light toward an outer surface of a user's body, a light receiver operatively connected to the earpiece housing proximate to the light source and configured to receive reflected light from the outer surface of the user's body, and one or more processors disposed within the earpiece housing and operatively connected to the light source and light receiver, wherein one or more processors is configured to determine bone vibration measurements from the reflected light. A method of determining bone vibrations includes providing at least one earpiece, transmitting substantially coherent light toward an outer surface of a user's body using the earpiece, receiving reflected light from the outer surface of the user's body using the earpiece, and determining bone vibration measurements using the earpiece.

System and methods are provided for detecting vibrations of one or more object in a scene comprising at least one illumination source configured to project light in a structured light pattern on the scene; a Time-of-Flight (ToF) imaging device comprising: an illumination source configured to project modulated light into the scene, a ToF sensor, configured to capture a plurality of images comprising reflections of the modulated light, the structured light pattern from the one or more objects in the scene and ambient light images of one or more objects in the scene; and at least one processor configured to: extract depth data of said one or more objects by analyzing the plurality of images and analyze one or more changes in one or more speckle patterns of at least one of the reflections of said structured light pattern in at least some consecutive images of the plurality of images; and identify the vibrations of the at least one object based on said speckle pattern analysis and said depth data.

Described herein is a fibre optic sensing method and system for generating a dynamic digital representation of a plurality of objects and associated zones in a geographic area. In general, the disclosed method and system comprises (a) generating a zone feature dataset, including identifying and classifying the associated zones in the area, each zone being classified into a zone type based on static and/or quasi-static zone features and having at least two object-sensed conditions; (b) generating an object tracking dataset, including tracking signals of at least some of the plurality of objects in the geographic area using a distributed fibre optic sensing network, and processing the tracking signals to obtain object-specific tracking data; (c) generating an event dataset, including using the tracking data to determine when the conditions of the zones are changing; digitizing and storing the changed conditions of the zones; and (d) rendering a dynamic representation of the conditions of the zones. The disclosed method and system may be useful to deduce, represent and monitor object type, tracks, events and states of static and/or quasi-static features of the geographic area in a dynamic real-time digital model of the geographic area.

Aspects of the subject technology provide for joint processing of signals from acoustic microphones and signals from vibration sensors that directly or remotely sense vibrations of the source of the sound itself. The vibration sensors may include remote vibration sensors such as a light-based microphone, which may be implemented as an optical microphone. Joint processing of the signals may include detecting a sound from the source in the signals from the acoustic microphone by selecting a portion of the signals from the acoustic microphone based on the signals from the vibration sensor.

A method for detecting blowout precursors in at least one gas turbine combustor comprising: receiving combustion dynamics acoustic data measured by an acoustic measuring device associated with the combustor in real time; performing wavelet analysis on the acoustic data using simplified Mexican Hat wavelet transform analysis; and determining the existence of a blowout precursor based at least in part on the wavelet analysis. Provided also is a system and a non-transitory computer readable medium configured to perform the method.

A method for calculating channel-frequency feature for detecting multi channel (propagated spatially) activities in DAS sensor data is provided. This method can be generalized for linearly spaced sensor arrays. In the method, spectrograms of different channels are generated and frequency features are calculated for different time windows. In channel frequency image, frequency features are concatenated in spatial domain, so that horizontal axis represents the spatial dimension.

A vibration detection system (100) detects vibration of an ultrasonic horn (12), of which the front surface is a non-specular surface, and of a capillary (13), wherein the vibration detection system (100) includes a laser light source (20) that irradiates the ultrasonic horn (12) and the capillary (13) with parallel laser light beams (21), a camera (30) having an imaging element (31) that captures an image of the ultrasonic horn (12) and the capillary (13) irradiated with the parallel laser light beams (21), and an image processing device (40) that processes the image captured by the camera (30) and displays a location where vibration occurs.