A distributed fiber optic acoustic detection device employs a novel distributed acoustic detection method using a phase noise cancelling distributed acoustic sensing (PNC-DAS) technique.

This invention provides a system apparatus and method for ship-towed deployment of a non-linear volumetric array of hydrophones, allowing line-intersect or line-transect sampling of marine mammal populations through passive acoustic monitoring, enabling unambiguous real-time three-dimensional localization of single sounds received through a low-cost, modular, robust, stable, small, light, neutrally to slightly negatively buoyant volumetric array having low self-noise and low flow noise, that avoids putting high tension on the tow cable and that is compatible with standard hydrophones, instrumentation, cabling, and analytical software.

The present disclosure relates to a monitoring system configured to monitor the activities of individuals without having to keep the surrounding area under the surveillance of a camera thereby maintaining the privacy of the individual. In particular, the monitoring system includes a network of sensitive sensor units that are installed onto indoor flooring to record human footstep induced vibrations. The data collected from the sensors can then be processed to identify individual occupants, determine the number of occupants, estimate the location of footsteps, and track the trajectory of each occupant. The extracted trajectory information can be used to assess an occupant's personal activity and social interaction, which can then be used to analyze the individual's physical and psychological health.

Real-time gunshot detection and reporting. A computing device detects, in an audio signal received by an audio receiver that includes a plurality of audio receiving elements, at least one gunshot. The computing device determines, based on the plurality of audio receiving elements, an audio location of the at least one gunshot. The computing device sends control signals to at least two cameras to cause the at least two cameras to capture at least two corresponding images of the audio location. The computing device, based on the at least two corresponding images, identifies a gunshot location and transmits a gunshot location identifier that identifies the gunshot location to a destination.

A system and method for detecting marine mammals and mitigating sound effects on them. The mammal detecting and mitigating system includes a first mammal monitoring system and a second mammal monitoring system. The first and second mammal monitoring systems are configured to be deployed away from each other, and the first and second monitoring systems communicate to each other such that the first mammal monitoring system is informed about a presence of a marine mammal detected by the second mammal monitoring system.

A superficial foreign bodies detecting system for ultrasonic sensor is disclosed. The system comprises a micro controller which comprises a main controlling unit, a driving signal generating unit, a signal receiving unit, and a residual vibration detecting unit. The driving signal generating unit is controlled by the main controlling unit so as to transmit a first sensor driving signal to the ultrasonic sensor, thereby making the sensing head to output an ultrasonic wave. In case of the transmission of the first sensor driving signal is stopped, the residual vibration detecting unit is enabled to apply a residual vibration measuring process to the ultrasonic sensor. Consequently, according to a residual vibration signal received from the residual vibration detecting unit, the main controlling unit is able to judge whether there is at least one foreign body attached on the surface of the sensing head.

A buried hydrophone may be configured to identify real-time changes in pipeline acoustics and vibrations during a flood event. Monitoring vibrations may allow predicting the likelihood of pipeline exposure and suspension.

Apparatuses and methods are described herein for identifying a Unmanned Aerial Vehicle (UAV), including, but not limited to, determining a first maneuver type, determining a first acoustic signature of sound captured by a plurality of audio sensors while the UAV performs the first maneuver type, determining a second acoustic signature of sound captured by the plurality of audio sensors while the UAV performs a second maneuver type different from the first maneuver type, determining an acoustic signature delta based on the first acoustic signature and the second acoustic signature, and determining an identity of the UAV based on the acoustic signature delta.

This application is directed to a method for controlling user experience (UX) operations on an electronic device that executes an application. A touchless UX operation associated with the application has an initiation condition including at least detection of a presence and a gesture in a required proximity range with a required confidence level. The electronic device then determines from a first sensor signal the proximity of the presence with respect to the electronic device. In accordance with a determination that the determined proximity is in the required proximity range, the electronic device determines from a second sensor signal a gesture associated with the proximity of the presence and an associated confidence level of the determination of the gesture. In accordance with a determination that the determined gesture and associated confidence level satisfy the initiation condition, the electronic device initializes the touchless UX operation associated with the application.

A detection system for detecting a residential pest, the detection system may include a housing, a vibration sensor that is configured to sense vibration signals; a processor that is configured to process the vibration signals and detect residential pest activities; a coupler that once connected to a metal-including element of a resident vibrationally couples the metal-including element to the vibration sensor.