The system comprises a plurality of sensor systems, a counter drone, and a processor. A sensor system of the plurality of sensor systems comprises one or more sensors that are connected to a network. The counter drone is connected to the network. The processor is configured to receive an indication of a potential target from the plurality of sensor systems; generate a fused data set for the potential target, determine whether the potential target comprises the threat drone based at least in part on the fused data set; and in response to determining that the potential target comprises the threat drone, provide counter drone instructions to the counter drone.

A vibration measurement sensor (3) adapted to measure the vibrations formed on a test object (O) with moving mechanical systems, at least one noise measurement sensor (4) adapted to measure sound intensity and/or particle velocity and/or sound pressure in at least one direction, i.e. on one axis, and a vibration and noise mapping system (1) that is adapted to control the vibration measurement sensor (3) and the noise measurement sensor (4), to provide the vibration and acoustic performance data of the test object (O) according to the data obtained from these units (3, 4) and to identify the areas on the test object (O) that are problematic or need to be studied further in order to improve vibration and acoustic performances thereof, and to control the operation of test objects (O) such as moving mechanical systems under different conditions.

A laser interferometer includes: a laser light source configured to emit laser light; a light shielding element having an opening through which the laser light passes; an optical modulator configured to modulate the laser light into reference light having a different frequency; and a light receiving element configured to receive object light generated by reflecting the laser light by an object to be measured and the reference light and output a light receiving signal. 0.10≤φ.sub.pin≤10.0, in which φ.sub.pin [mm] is a diameter of the opening.

A laser interferometer includes: a laser light source configured to emit laser light; a light shielding element having an opening through which the laser light passes; an optical modulator configured to modulate the laser light into reference light having a different frequency; and a light receiving element configured to receive object light generated by reflecting the laser light by an object to be measured and the reference light and output a light receiving signal. 0.10≤φ.sub.pin≤10.0, in which φ.sub.pin [mm] is a diameter of the opening.

An electronic device includes a microphone, an array of coherent optical emitters, an array of balanced coherent optical vibration sensors, and a processor. Each balanced coherent optical vibration sensor in the array of balanced coherent optical vibration sensors is paired with a coherent optical emitter in the array of coherent optical emitters. The processor is configured to analyze a set of waveforms acquired by the array of balanced coherent optical vibration sensors; identify, using the analysis of the set of waveforms, a set of one or more voices in a field of view; and adjust an output of the microphone to accentuate a particular voice in the set of one or more voices.

An electronic device includes a microphone, an array of coherent optical emitters, an array of balanced coherent optical vibration sensors, and a processor. Each balanced coherent optical vibration sensor in the array of balanced coherent optical vibration sensors is paired with a coherent optical emitter in the array of coherent optical emitters. The processor is configured to analyze a set of waveforms acquired by the array of balanced coherent optical vibration sensors; identify, using the analysis of the set of waveforms, a set of one or more voices in a field of view; and adjust an output of the microphone to accentuate a particular voice in the set of one or more voices.

Distributed fiber optic sensing (DFOS) systems and methods that automatically detect vibration signal patterns from waterfall data recorded by DFOS system operations in real- time and associate the detected vibration signal patterns to GPS location coordinates without human intervention or interpretation. When embodied as a computer vision-based operation according to aspects of the present disclosure, our inventive systems and method provide accurate, cost-efficient, and objective determination without relying on humans and their resulting bias' and inconsistencies.

An aspect of the invention is directed to a system of both atmospheric and underwater sensors for measuring pressure waves from a noise source. A system of pressure sensors can be formed to determine the location of an external noise source, whether in air or underwater. The system includes at least two arrays consisting of pressure sensors, including at least one atmospheric pressure sensor and at least one underwater pressure sensor, such as a hydrophone. Each sensor may be a seven-fiber intensity modulated fiber optic pressure sensor. The system includes an analog to digital converter for digitizing the pressure data received from each sensor and a processor which processes the received signals to calculate an approximate location of the noise source based upon the pressure signals received by the sensors at different times of arrival. The system can provide this capability in remote applications due to its low power requirements.

A detection system according to the present disclosure includes an optical fiber (10X, 10Y) laid in a portable base station area (45) in which a portable base station (40) is installed, a reception unit (20) receiving an optical signal from the optical fiber (10X, 10Y), the optical signal containing information indicating a state of the portable base station area (45), and a detection unit (32) detecting a threat in the portable base station area (45), based on the information indicating a state of the portable base station area (45) being contained in the optical signal.

Distributed fiber optic sensing (DFOS) systems and methods for monitoring electrical power distribution transformers and locating failing/failed/malfunctioning transformers from humming signals indicative of a transformer's operational integrity and are advantageously detected/analyzed via DFOS mechanisms.