A system and method for tracking aircraft, helicopters and/or other objects at an airfield using acoustics of the aircraft, helicopters and/or other objects. A method receives first acoustical data at a first sensor and second acoustical data is also received at a second sensor. The first and second sensors may be carried by a first structurally supportive body member. Based at least in part on the first acoustical data and the second acoustical data a range and a bearing of the aircraft is determined from a predetermined location at the airfield. The range and bearing can be determined by using a beam forming algorithm. Based on the range and the bearing, the method displays the location the aircraft on a display.

An ultrasonic gas leak detector system for locating a source of ultrasonic airborne energy is described. An exemplary embodiment includes a plurality of spatially separated ultrasonic gas leak detectors, each configured to generate signals indicative of detected angles of arrival of received ultrasonic energy at the respective detectors. A locator processor receives the signals generated by the detectors, and is configured to process the signals to determine a location in three dimensions of the source of the ultrasonic energy received at the detectors and provide locator processor output signals indicative of the location

A system, method and computer program product for managing the flow of air from a ventilation outlet. The method includes determining a position of a sound detected by at least a first microphone determining a ventilation outlet control data based on the position of the sound controlling the air flow of the at least first ventilation outlet based on the ventilation outlet control data for changing at least one of a direction of the air flow, a spread of the air flow and an intensity of the air flow from at least a first ventilation outlet.

A system, method and computer program product for managing the flow of air from a ventilation outlet. The method includes determining a position of a sound detected by at least a first microphone determining a ventilation outlet control data based on the position of the sound controlling the air flow of the at least first ventilation outlet based on the ventilation outlet control data for changing at least one of a direction of the air flow, a spread of the air flow and an intensity of the air flow from at least a first ventilation outlet.

A computerized method of an integrated microphone to monitor environmental conditions of battery-operated asset tracker comprising: integrating one or more microphones into each asset tracker of a cluster of asset trackers; using the one or more microphones to monitor an environmental condition of a battery-operated asset tracker; correlate a set of sound data received form the one or more microphones with another set of data from other sensors of each asset tracker of the cluster of asset trackers; using an IMU (Inertial Management Unit) to determine an orientation in space of each asset tracker; with the data of the one or more microphones and the orientation in space of each asset tracker, determining a direction of a sound in a proximity of the cluster of asset trackers; and providing a pre-learned machine learning sound identification model to identify a sound source of the sound.

A computerized method of an integrated microphone to monitor environmental conditions of battery-operated asset tracker comprising: integrating one or more microphones into each asset tracker of a cluster of asset trackers; using the one or more microphones to monitor an environmental condition of a battery-operated asset tracker; correlate a set of sound data received form the one or more microphones with another set of data from other sensors of each asset tracker of the cluster of asset trackers; using an IMU (Inertial Management Unit) to determine an orientation in space of each asset tracker; with the data of the one or more microphones and the orientation in space of each asset tracker, determining a direction of a sound in a proximity of the cluster of asset trackers; and providing a pre-learned machine learning sound identification model to identify a sound source of the sound.

This application discloses a method and apparatus for determining characteristics of a sound source. The method may include: acquiring a first position of a first virtual role controlled by an application client in a virtual scene; detecting, in a sound source detection area associated with the first position, a second position of a sound source virtual object in the virtual scene; determining transparency of a position mark that matches the sound source virtual object, according to a sound source distance between the first position and the second position, the position mark identifying the second position of the sound source virtual object; and displaying, on an interaction interface of the application client, the position mark of the sound source virtual object according to the transparency.

This application discloses a method and apparatus for determining characteristics of a sound source. The method may include: acquiring a first position of a first virtual role controlled by an application client in a virtual scene; detecting, in a sound source detection area associated with the first position, a second position of a sound source virtual object in the virtual scene; determining transparency of a position mark that matches the sound source virtual object, according to a sound source distance between the first position and the second position, the position mark identifying the second position of the sound source virtual object; and displaying, on an interaction interface of the application client, the position mark of the sound source virtual object according to the transparency.

Integrated DFOS systems and methods for 3D gunshot, localization, and tracking utilizing Artificial Intelligence enhanced (AI-enhanced) systems and methods for infrastructure security including electrical substations. Our systems and methods provide a comprehensive solution for substation security enhancement, integrating 3D gunshot localization, real-time tracking, and AI-driven analysis. Utilizing Distributed Acoustic Sensing (DAS) technology, our systems and methods precisely detect and triangulate the origin of gunshots in three-dimensional space. The trajectory of a bullet is determined, providing insights into the direction and potential target within the substation. Al algorithms discern between various acoustic events and provide identification of genuine threats. Upon detecting a potential gunshot, our system automatically correlates related acoustic events, such as the noise of a nearby vehicle, offering context and aiding in threat assessment. Our AI-enhanced system evaluates acoustic signals to determine real-time equipment damage resulting from gunshots, ensuring immediate remedial actions and anticipate potential future incidents.

Integrated DFOS systems and methods for 3D gunshot, localization, and tracking utilizing Artificial Intelligence enhanced (AI-enhanced) systems and methods for infrastructure security including electrical substations. Our systems and methods provide a comprehensive solution for substation security enhancement, integrating 3D gunshot localization, real-time tracking, and AI-driven analysis. Utilizing Distributed Acoustic Sensing (DAS) technology, our systems and methods precisely detect and triangulate the origin of gunshots in three-dimensional space. The trajectory of a bullet is determined, providing insights into the direction and potential target within the substation. Al algorithms discern between various acoustic events and provide identification of genuine threats. Upon detecting a potential gunshot, our system automatically correlates related acoustic events, such as the noise of a nearby vehicle, offering context and aiding in threat assessment. Our AI-enhanced system evaluates acoustic signals to determine real-time equipment damage resulting from gunshots, ensuring immediate remedial actions and anticipate potential future incidents.