Acoustic detection system

Abstract

The application discloses a method of enhanced detection using acoustic cavity amplifiers to enhance detection of acoustic sources.

Description

Acoustic Detection System CROSS REFERENCE TO RELATED APPLICATIONS AND PRIORITY

[0001] The present application claims priority to and the benefit of U.S. Provisional Patent Application No. 63663773, filed 25 June 2024, the entirety of which is hereby incorporated by reference. FIELD OF THE APPLICATION

[0002] The present application relates to devices that detect unique sounds associated with devices and more particularly toward detection of drones. BACKGROUND

[0003] Drones have now become a critical element in any military strategy. The effectiveness of drone attacks is reduced upon detection. Detection is an issue. Drone speeds can be in excess of 200km / hr and thus the time of warning is a function of distance from the Drone that can be detected. For example, if the drone travels at 200km / hr a detection of a drone 500m away leaves 9 seconds of detection. Too short to be of use.

[0004] “…Soldiers have learned to fear the ominous buzz of the drone's propellers overhead, as this often indicates they have either been spotted or are about to be attacked….” (https: / / www.reuters.com / graphics / UKRAINE-CRISIS / DRONES / dwpkeyjwkpm / )

[0005] The battlefield is now dominated by drones, that have various missions (bomb dropping, surveillance). First drones can be used to survey the battlefield and identify targets. Second the commanders can determine how to attack, which can include bomb dropping drones. To attack there are many various propellor driven drones with various ranges and firepower. At either spectrum of range is the FPV (5-25km) and Shahed 136 (1000km). The FPV carries an RPG ordinance, and the Shahed an explosive warhead. The main defense against drones is to electronically jam the signal with specialized equipment. At the infantry level jamming is also used, but within a smaller range (e.g., 150m). Next generation Drones will use AIs to determine the target before jammed, so that the AI can guide the drone to its target. The only defense then is an early warning system and firepower. A method of enhancing detection is needed to increaseOur Docket: PCT-63663773 the detection time to minutes. SUMMARY

[0006] Devices, system and methods for enhanced navigation are disclosed. Discussions herein use sensor data to determine location and type of drone, vehicles, and acoustic sources and provide notification.

[0007] At least one exemplary embodiment is directed to a detection device which includes: a microphone; an array of cavity amplifiers, wherein each cavity amplifier in the array is configured for a unique central acoustic frequency, wherein the array generates an array signal; a memory that stores instructions; and a processor, operatively connected to the microphone, operatively connected to the array of cavity amplifiers, where the processor is operatively connected to the memory, where the processor is configured to execute the instructions to perform operations, the operations comprising: receiving the array signal; generating an acoustic spectrogram from the array signal; generating a matrix of input values from the acoustic spectrogram; inputting the matrix of input values into a neural network generating a result; generating a notification signal if the result matches a detection value; and sending the notification signal to a communication device.

[0008] At least one exemplary embodiment is directed to a detection drone, comprising: a detection device according; a second processor; at least a few (e.g., 3 or more) rotors; and a navigation system.

[0009] At least one exemplary embodiment is directed to a detection drone array comprising: multiple drone detection devices; and a controlling unit, wherein the controlling unit is configured to perform the following operations: positioning the first, second and third drones to predetermined positions; and / or activating a detection mode in the first, second and third drones; and / or receiving a detection signal from the first detection drone, wherein the detection signal indicates a detected target drone; and / or repositioning the first, second and third detection drones to intercept the detected target drone.

[0010] At least one exemplary embodiment is directed to a voice assistant device, comprising: a detection device; a second processor; a second memory; and a display that can be used as a user interface, where the second processor is configured to execute the instructions stored in the second memory to perform operations, the operations comprising: analyzing theOur Docket: PCT-63663773 array signal for a voice command; and / or controlling a signal sent to a speaker in response to the voice command; and / or analyzing the array signal for a voice inquiry; and / or sending the voice inquiry to a remote server to retrieve data; and / or receiving requested data from the remote server; and / or sending the requested data to the display; and / or sending the requested data to a speaker.

[0011] These and other features of detection enhancement systems and methods are described in the following detailed description, drawings, and appended claims. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] FIG. 1 is a schematic diagram of a system of drones and their relation to a detector.

[0013] FIG.2 is a schematic diagram of the use of embodiments of the detection devices and methods in multiple systems, wired and wireless.

[0014] FIG. 3 is a schematic diagram of a detection device using a computer system within which a set of instructions, when executed, may cause the machine to perform any one or more of the methodologies or operations of the systems and methods for utilizing the detection system according to embodiments of the present disclosure.

[0015] FIG. 4 is a schematic diagram of a Helmholtz chamber that can be used in a detection device.

[0016] FIG. 5 is a schematic diagram of a Helmholtz chamber detection device that can use an accumulator nozzle.

[0017] FIG. 6 is a schematic diagram of an accumulation of Helmholtz devices, each designed for specific frequencies.

[0018] FIG. 7 is a schematic diagram of an accumulation of Helmholtz devices, each designed for specific frequencies including a Helmholtz chamber used for energy harvesting.

[0019] FIG. 7 is a schematic diagram of a wearable device such as a watch that can utilize the navigational system.

[0020] FIG. 8 is a schematic diagram showing the spectrogram signatures of two separate drones.

[0021] FIG. 9 is a schematic diagram of a detection device containing adjustable Helmholtz chambers in a hemispherical arrangement.Our Docket: PCT-63663773

[0022] FIG. 10 is a schematic diagram of drone containing a detection device.

[0023] FIG. 11 is a schematic diagram of a detection system including a group of detection drones.

[0024] FIG. 12 is a schematic diagram of a detection system including a group of detection drones that have spread creating a detection region.

[0025] FIG. 13 is a schematic diagram of a neural nodes for AI development.

[0026] FIG. 14 is a schematic diagram of components of a detection device.

[0027] FIG. 15 illustrates a deployed detection system.

[0028] FIG. 16 illustrates the deployed system of FIG. 15 reacting to a detected oncoming drone. DETAILED DESCRIPTION OF THE INVENTION

[0029] Exemplary embodiments of detection devices, and systems and methods therefore are disclosed.

[0030] Exemplary embodiments are directed to or can be operatively used with various electronic wired or wireless devices (e.g., earphones, phones, autos, airplanes, spacecraft, watches, bracelets, rings, backpacks, tablets, laptops other devices that can include navigational device). For example, the detection device can be composed of multiple detection devices composing a detection system. The detection system can interact with any wired or wireless systems, either for control of the detection systems or to receive notification. The system or devices can communication wired or wirelessly with various devices, examples of which are mentioned above. In all of the examples illustrated and discussed herein, any specific values should be interpreted to be illustrative only and non-limiting. Thus, other examples of the exemplary embodiments could have different values and methods of user interface.

[0031] Figure 1 illustrates a typical scenario where a user 300, having or using a detection device 310 that receives signals from sensors on multiple detection devices on drones DRN1, DRN2, DRN3, DRN4, and DRN5 if the drones are friendly drones. If the drones DRN1, DRN2, DRN3, DRN4, AND DRN5 are enemy drones to be detected, then detection device 310 is configured to detect the drones. Discussion herein uses a non-limiting acoustic sensor for discussion purposes and is not intended to limit the type of sensor incorporated into the systemOur Docket: PCT-63663773 or device. Figure 1 illustrates five (5) Drones, DRN1, DRN2, DRN3, DRN4, and DRN5. The relevant true ranges R1, R2, R3, R4, and R5 reflect the ideal straight-line path from the drones to the detection device 310. If one knows the location / position (x,y,z), velocity (vx, vy, vz), and acceleration (ax, ay, az) of each drone, one can determine the path and estimated time of arrival. The detection device need not be in a user’s possession; it can be placed at strategic distances to detect drones and wirelessly or via wire (including fiber optic cable) communicate the detection. The detectors can themselves be placed upon drones or other vehicles (e.g., trucks, Humvees, ships, buoys, backpacks) which spread out to a pattern, which in one exemplary embodiment can then rest passively as detectors.

[0032] As shown in Figure 2, a detection device 115 and methods for utilizing the detection device 115 are disclosed. The detection device 115 can use a wired and wireless system 100 to communicate data.

[0033] The system 100 may be configured to support, but is not limited to supporting, data and content services, audio processing applications and services, audio output and / or input applications and services, applications and services for transmitting and receiving audio content, authentication applications and services, computing applications and services, cloud computing services, internet services, satellite services, telephone services, software as a service (SaaS) applications, platform-as-a-service (PaaS) applications, gaming applications and services, social media applications and services, productivity applications and services, voice-over-internet protocol (VoIP) applications and services, speech-to-text translation applications and services, interactive voice applications and services, mobile applications and services, and any other computing applications and services. The system may include a first user 101, who may utilize a first user device 102 to access data, content, and applications, or to perform a variety of other tasks and functions. As an example, the first user 101 may utilize first user device 102 to access an application (e.g. a browser or a mobile application) executing on the first user device 102 that may be utilized to access web pages, data, and content associated with the system 100. In certain embodiments, the first user 101 may be any type of user that may potentially desire to listen to audio content, such as from, but not limited to, a music playlist accessible via the first user device 102, a telephone call that the first user 101 is participating in, audio content occurring in an environment in proximity to the first user 101, any other type of audio content, or a combinationOur Docket: PCT-63663773 thereof. For example, the first user 101 may be an individual that may be participating in a telephone call with another user, such as second user 120.

[0034] The first user device 102 utilized by the first user 101 may include a memory 103 that includes instructions, and a processor 104 that executes the instructions from the memory 103 to perform the various operations that are performed by the first user device 102. In certain embodiments, the processor 104 may be hardware, software, or a combination thereof. The first user device 102 may also include an interface 105 (e.g. screen, monitor, graphical user interface, etc.) that may enable the first user 101 to interact with various applications executing on the first user device 102, to interact with various applications executing within the system 100, and to interact with the system 100 itself. In certain embodiments, the first user device 102 may include any number of transducers, such as, but not limited to, microphones, speakers, any type of audio- based transducer, any type of transducer, or a combination thereof. In certain embodiments, the first user device 102 may be a computer, a laptop, a tablet device, a phablet, a server, a mobile device, a smartphone, a smart watch, and / or any other type of computing device. Illustratively, the first user device 102 is shown as a mobile device in Figure 1. The first user device 102 may also include a global positioning system (GPS), which may include a GPS receiver and any other necessary components for enabling GPS functionality, accelerometers, gyroscopes, sensors, and any other componentry suitable for a mobile device.

[0035] In addition to using first user device 102, the first user 101 may also utilize and / or have access to a second user device 106 and a third user device 110. As with first user device 102, the first user 101 may utilize the second and third user devices 106, 110 to transmit signals to access various online services and content. The second user device 106 may include a memory 107 that includes instructions, and a processor 108 that executes the instructions from the memory 107 to perform the various operations that are performed by the second user device 106. In certain embodiments, the processor 108 may be hardware, software, or a combination thereof. The second user device 106 may also include an interface 109 that may enable the first user 101 to interact with various applications executing on the second user device 106 and to interact with the system 100. In certain embodiments, the second user device 106 may include any number of transducers, such as, but not limited to, microphones, speakers, any type of audio-based transducer, any type of transducer, or a combination thereof. In certain embodiments, the secondOur Docket: PCT-63663773 user device 106 may be and / or may include a computer, any type of sensor, a laptop, a set-top- box, a tablet device, a phablet, a server, a mobile device, a smartphone, a smart watch, and / or any other type of computing device. Illustratively, the second user device 102 is shown as a smart watch device in Figure 1.

[0036] The third user device 110 may include a memory 111 that includes instructions, and a processor 112 that executes the instructions from the memory 111 to perform the various operations that are performed by the third user device 110. In certain embodiments, the processor 112 may be hardware, software, or a combination thereof. The third user device 110 may also include an interface 113 that may enable the first user 101 to interact with various applications executing on the second user device 106 and to interact with the system 100. In certain embodiments, the third user device 110 may include any number of transducers, such as, but not limited to, microphones, speakers, any type of audio-based transducer, any type of transducer, or a combination thereof. In certain embodiments, the third user device 110 may be and / or may include a computer, any type of sensor, a laptop, a set-top-box, a tablet device, a phablet, a server, a mobile device, a smartphone, a smart watch, and / or any other type of computing device. The user devices can receive data from at least the detection devices.

[0037] The first, second, and / or third user devices 102, 106, 110 may belong to and / or form a communications network 116. In certain embodiments, the communications network 116 may be a local, mesh, or other network that facilitates communications among the first, second, and / or third user devices 102, 106, 110 and / or any other devices, programs, and / or networks of system 100 or outside system 100. In certain embodiments, the communications network 116 may be formed between the first, second, and third user devices 102, 106, 110 through the use of any type of wireless or other protocol and / or technology. For example, the first, second, and third user devices 102, 106, 110 may communicate with one another in the communications network 116, such as by utilizing Bluetooth Low Energy (BLE), classic Bluetooth, ZigBee, cellular, NFC, Wi-Fi, Z-Wave, ANT+, IEEE 802.15.4, IEEE 802.22, ISA100a, infrared, ISM band, RFID, UWB, Wireless HD, Wireless USB, any other protocol and / or wireless technology, satellite, fiber, or any combination thereof. Notably, the communications network 116 may be configured to communicatively link with and / or communicate with any other network of the system 100 and / or outside the system 100.Our Docket: PCT-63663773

[0038] The system 100 may also include a detection device 115, which the first user 101 may utilize to hear and / or audition audio content, transmit audio content, receive audio content, experience any type of content, process audio content, adjust audio content, store audio content, perform any type of operation with respect to audio content, or a combination thereof. The detection device 115 may be a communication device connected to acoustic device. The detection device 115 may include any type of component utilized for any type of acoustic sensor or other sensors such as electromagnetic (visual, infrared, microwave, radio). In certain embodiments, the detection device 115 may include any number of ambient sound microphones that may be configured to capture and / or measure ambient sounds and / or audio content occurring in an environment that the detection device 115 is present in and / or is proximate to. The microphones can be part of an enhancement mechanism such as a Helmholtz chamber, discussed herein. In certain embodiments, the ambient sound microphones may be placed at a location or locations on the detection device 115 that are conducive to capturing and measuring ambient sounds occurring in the environment. For example, the ambient sound microphones may be positioned in proximity such that the ambient sound microphones are in an optimal position to capture ambient or other sounds occurring in the environment. In certain embodiments, the detection device 115 may include any number of microphones, which may be configured to capture and / or measure sounds occurring near the environment of the first user 101 or other user wearing / carrying the detection device 115.

[0039] The detection device 115 may also include any number of transceivers, which may be configured transmit signals to and / or receive signals from any of the devices in the system 100. In certain embodiments, a transceiver of the detectionl device 115 may facilitate wireless connections and / or transmissions between the detection device 115 and any device in the system 100, such as, but not limited to, the first user device 102, the second user device 106, the third user device 110, the fourth user device 121, the fifth user device 125, the detection device 130, the servers 140, 145, 150, 160, and the database 155. The detection device 115 may also include any number of memories for storing content and / or instructions, processors that execute the instructions from the memories to perform the operations for the detection device 115, and / or any type integrated circuit for facilitating the operation of the detection device 115. In certain embodiments, the processors may comprise, hardware, software, or a combination of hardwareOur Docket: PCT-63663773 and software. The detection device 115 may also include one or more speaker, which may be speakers for outputting sound to the first user 101. The speakers may output sounds obtained via the array of microphones, ambient sound microphones, any of the devices in the system 100, from a storage device of the detection device 115, or any combination thereof.

[0040] The speakers, microphones, transceivers, memories, processors, integrated circuits, may be affixed to an electronics package that includes a flexible electronics board. The detection device 115 may include an electronics packaging housing that may house the ambient sound microphones, array microphones, receivers (i.e. speakers), electronics supporting the functionality of the microphones and / or receivers, transceivers for receiving and / or transmitting signals, power sources (e.g. batteries and the like), any circuitry facilitating the operation of the detection device 115, or any combination thereof. The electronics package including the flexible electronics board may be housed within the electronics packaging housing to form an electronics packaging unit. The detection device 115 may further include a housing, which may include receptacles, openings, and / or keyed recesses for connecting the housing to the electronics packaging housing and / or the electronics package. For example, nozzles of the electronics packaging housing may be inserted into one or more keyed recesses of the housing so as to connect and secure the housing to the electronics packaging housing. When the housing is connected to the electronics packaging housing, the combination of the housing and the electronics packaging housing may form the detection device 115. The detection device 115 may further include a cap for securing the electronics packaging housing, the earphone housing, and the electronics package together to form the detection device 115.

[0041] In addition to the first user 101, the system 100 may include a second user 120, who may utilize a fourth user device 121 to access data, content, and applications, or to perform a variety of other tasks and functions. Much like the first user 101, the second user 120 may be may be any type of user that may potentially desire to listen to audio content, such as from, but not limited to, a storage device of the fourth user device 121, a telephone call that the second user 120 is participating in, audio content occurring in an environment in proximity to the second user 120, any other type of audio content, or a combination thereof. For example, the second user 120 may be an individual that may be listening to songs stored in a playlist that resides on the fourth user device 121. Also, much like the first user 101, the second user 120 may utilize fourthOur Docket: PCT-63663773 user device 121 to access an application (e.g. a browser or a mobile application) executing on the fourth user device 121 that may be utilized to access web pages, data, and content associated with the system 100. The fourth user device 121 may include a memory 122 that includes instructions, and a processor 123 that executes the instructions from the memory 122 to perform the various operations that are performed by the fourth user device 121. In certain embodiments, the processor 123 may be hardware, software, or a combination thereof. The fourth user device 121 may also include an interface 124 (e.g. a screen, a monitor, a graphical user interface, etc.) that may enable the second user 120 to interact with various applications executing on the fourth user device 121, to interact with various applications executing in the system 100, and to interact with the system 100. In certain embodiments, the fourth user device 121 may include any number of transducers, such as, but not limited to, microphones, speakers, any type of audio-based transducer, any type of transducer, or a combination thereof. In certain embodiments, the fourth user device 121 may be a computer, a laptop, a tablet device, a phablet, a server, a mobile device, a smartphone, a smart watch, and / or any other type of computing device. Illustratively, the fourth user device 121 may be a computing device in Figure 2. The fourth user device 121 may also include any of the componentry described for first user device 102, the second user device 106, and / or the third user device 110. In certain embodiments, the fourth user device 121 may also include a global positioning system (GPS), which may include a GPS receiver and any other necessary components for enabling navigational operation and detection functionality, accelerometers, gyroscopes, sensors, ranging lasers, radar, and any other componentry suitable for a computing device.

[0042] In addition to using fourth user device 121, the second user 120 may also utilize and / or have access to a fifth user device 125. As with fourth user device 121, the second user 120 may utilize the fourth and fifth user devices 121, 125 to transmit signals to access various online services and content. The fifth user device 125 may include a memory 126 that includes instructions, and a processor 127 that executes the instructions from the memory 126 to perform the various operations that are performed by the fifth user device 125. In certain embodiments, the processor 127 may be hardware, software, or a combination thereof. The fifth user device 125 may also include an interface 128 that may enable the second user 120 to interact with various applications executing on the fifth user device 125 and to interact with the system 100. In certainOur Docket: PCT-63663773 embodiments, the fifth user device 125 may include any number of transducers, such as, but not limited to, microphones, speakers, any type of audio-based transducer, any type of transducer, or a combination thereof. In certain embodiments, the fifth user device 125 may be and / or may include a computer, any type of sensor, a laptop, a set-top-box, a tablet device, a phablet, a server, a mobile device, a smartphone, a smart watch, and / or any other type of computing device. Illustratively, the fifth user device 125 is shown as a tablet device in Figure 1.

[0043] The fourth and fifth user devices 121, 125 may belong to and / or form a communications network 131. In certain embodiments, the communications network 131 may be a local, mesh, or other network that facilitates communications between the fourth and fifth user devices 121, 125, and / or any other devices, programs, and / or networks of system 100 or outside system 100. In certain embodiments, the communications network 131 may be formed between the fourth and fifth user devices 121, 125 through the use of any type of wireless or other protocol and / or technology. For example, the fourth and fifth user devices 121, 125 may communicate with one another in the communications network 116, such as by utilizing BLE, classic Bluetooth, ZigBee, cellular, NFC, Wi-Fi, Z-Wave, ANT+, IEEE 802.15.4, IEEE 802.22, ISA100a, infrared, ISM band, RFID, UWB, Wireless HD, Wireless USB, any other protocol and / or wireless technology, satellite, fiber, or any combination thereof. Notably, the communications network 131 may be configured to communicatively link with and / or communicate with any other network of the system 100 and / or outside the system 100.

[0044] Much like first user 101, the second user 120 may have his or her own detection device 130. The detection device 130 may be utilized by the second user 120 to hear and / or audition audio content, transmit audio content, receive audio content, experience any type of content, process audio content, adjust audio content, store audio content, perform any type of operation with respect to audio content, or a combination thereof. The detection device 130 may be an earpiece, a hearing aid, an ear monitor, an ear terminal, a behind-the-ear device, any type of acoustic device, or a combination thereof. The detection device 130 may include any type of component utilized for any type of earpiece, and may include any of the features, functionality and / or components described and / or usable with detection device 115. For example, detection device 130 may include any number of transceivers, microphones, processors, memories, housings, and any other component, or any combination thereof.Our Docket: PCT-63663773

[0045] In certain embodiments, the first, second, third, fourth, and / or fifth user devices 102, 106, 110, 121, 125 and / or detection devices 115, 130 may have any number of software applications and / or application services stored and / or accessible thereon. For example, the first and second user devices 102, 111 may include applications for processing audio content, applications for playing, editing, transmitting, and / or receiving audio content, streaming media applications, speech-to-text translation applications, cloud-based applications, search engine applications, natural language processing applications, database applications, algorithmic applications, phone-based applications, product-ordering applications, business applications, e- commerce applications, media streaming applications, content-based applications, database applications, gaming applications, internet-based applications, browser applications, mobile applications, service-based applications, productivity applications, video applications, music applications, social media applications, presentation applications, any other type of applications, any types of application services, or a combination thereof. In certain embodiments, the software applications and services may include one or more graphical user interfaces so as to enable the first and second users 101, 120 to readily interact with the software applications. The software applications and services may also be utilized by the first and second users 101, 120 to interact with any device in the system 100, any network in the system 100 (e.g. communications networks 116, 131, 135), or any combination thereof. For example, the software applications executing on the first, second, third, fourth, and / or fifth user devices 102, 106, 110, 121, 125 and / or detection devices 115, 130 may be applications for receiving data, applications for storing data, applications for auditioning, editing, storing and / or processing audio content, applications for receiving demographic and preference information, applications for transforming data, applications for executing mathematical algorithms, applications for generating and transmitting electronic messages, applications for generating and transmitting various types of content, any other type of applications, or a combination thereof. In certain embodiments, the first, second, third, fourth, and / or fifth user devices 102, 106, 110, 121, 125 and / or detection devices 115, 130 may include associated telephone numbers, internet protocol addresses, device identities, or any other identifiers to uniquely identify the first, second, third, fourth, and / or fifth user devices 102, 106, 110, 121, 125 and / or detection devices 115, 130 and / or the first and second users 101, 120. In certain embodiments, location information corresponding to the first, second, third, fourth,Our Docket: PCT-63663773 and / or fifth user devices 102, 106, 110, 121, 125 and / or detection devices 115, 130 may be obtained based on the internet protocol addresses, by receiving a signal from the first, second, third, fourth, and / or fifth user devices 102, 106, 110, 121, 125 and / or detection devices 115, 130 or based on profile information corresponding to the first, second, third, fourth, and / or fifth user devices 102, 106, 110, 121, 125 and / or detection devices 115, 130.

[0046] The system 100 may also include a communications network 135. The communications network 135 may be under the control of a service provider, the first and / or second users 101, 120, any other designated user, or a combination thereof. The communications network 135 of the system 100 may be configured to link each of the devices in the system 100 to one another. For example, the communications network 135 may be utilized by the first user device 102 to connect with other devices within or outside communications network 135. Additionally, the communications network 135 may be configured to transmit, generate, and receive any information and data traversing the system 100. In certain embodiments, the communications network 135 may include any number of servers, databases, or other componentry. The communications network 135 may also include and be connected to a mesh network, a local network, a cloud-computing network, an IMS network, a VoIP network, a security network, a VoLTE network, a wireless network, an Ethernet network, a satellite network, a broadband network, a cellular network, a private network, a cable network, the Internet, an internet protocol network, MPLS network, a content distribution network, any network, or any combination thereof. Illustratively, servers 140, 145, and 150 are shown as being included within communications network 135. In certain embodiments, the communications network 135 may be part of a single autonomous system that is located in a particular geographic region, or be part of multiple autonomous systems that span several geographic regions.

[0047] Notably, the functionality of the system 100 may be supported and executed by using any combination of the servers 140, 145, 150, and 160. The servers 140, 145, and 150 may reside in communications network 135, however, in certain embodiments, the servers 140, 145, 150 may reside outside communications network 135. The servers 140, 145, and 150 may provide and serve as a server service that performs the various operations and functions provided by the system 100. In certain embodiments, the server 140 may include a memory 141 that includes instructions, and a processor 142 that executes the instructions from the memory 141 to performOur Docket: PCT-63663773 various operations that are performed by the server 140. The processor 142 may be hardware, software, or a combination thereof. Similarly, the server 145 may include a memory 146 that includes instructions, and a processor 147 that executes the instructions from the memory 146 to perform the various operations that are performed by the server 145. Furthermore, the server 150 may include a memory 151 that includes instructions, and a processor 152 that executes the instructions from the memory 151 to perform the various operations that are performed by the server 150. In certain embodiments, the servers 140, 145, 150, and 160 may be network servers, routers, gateways, switches, media distribution hubs, signal transfer points, service control points, service switching points, firewalls, routers, edge devices, nodes, computers, mobile devices, or any other suitable computing device, or any combination thereof. In certain embodiments, the servers 140, 145, 150 may be communicatively linked to the communications network 135, the communications network 116, the communications network 131, any network, any device in the system 100, any program in the system 100, or any combination thereof.

[0048] The database 155 of the system 100 may be utilized to store and relay information that traverses the system 100, cache content that traverses the system 100, store data about each of the devices in the system 100 and perform any other typical functions of a database. In certain embodiments, the database 155 may be connected to or reside within the communications network 135, the communications network 116, the communications network 131, any other network, or a combination thereof. In certain embodiments, the database 155 may serve as a central repository for any information associated with any of the devices and information associated with the system 100. Furthermore, the database 155 may include a processor and memory or be connected to a processor and memory to perform the various operation associated with the database 155. In certain embodiments, the database 155 may be connected to the detection devices 115, 130, the servers 140, 145, 150, 160, the first user device 102, the second user device 106, the third user device 110, the fourth user device 121, the fifth user device 125, any devices in the system 100, any other device, any network, or any combination thereof.

[0049] The database 155 may also store information and metadata obtained from the system 100, store metadata and other information associated with the first and second users 101, 120, store user profiles associated with the first and second users 101, 120, store device profiles associated with any device in the system 100, store communications traversing the system 100,Our Docket: PCT-63663773 store user preferences, store information associated with any device or signal in the system 100, store information relating to patterns of usage relating to the first, second, third, fourth, and fifth user devices 102, 106, 110, 121, 125, store audio content associated with the first, second, third, fourth, and fifth user devices 102, 106, 110, 121, 125 and / or navigational devices 115, 130, store audio content and / or information associated with the audio content that is captured by the microphones, store audio content and / or information associated with audio content that is captured by the microphones, store any information obtained from any of the networks in the system 100, store audio content and / or information associated with audio content that is outputted by ear canal receivers of the system 100, store any information and / or signals transmitted and / or received by transceivers of the system 100, store any device and / or capability specifications relating to the detection devices 115, 130, store historical and biometric data associated with the first and second users 101, 120, store information relating to the size (e.g. depth, height, width, curvatures, etc.) and / or shape of the first and / or second user's 101, 120 physicality, for example ear canals and / or ears, store information identifying and or describing any devices or users utilized with the detection devices 115, 130, store device characteristics for any of the devices in the system 100, store information relating to any devices associated with the first and second users 101, 120, store any information associated with the detection devices 115, 130, store log on sequences and / or authentication information for accessing any of the devices of the system 100, store information associated with the communications networks 116, 131, store any information generated and / or processed by the system 100, store any of the information disclosed for any of the operations and functions disclosed for the system 100 herewith, store any information traversing the system 100, or any combination thereof. Furthermore, the database 155 may be configured to process queries sent to it by any device in the system 100.

[0050] The system 100 may also include a software application, which may be configured to perform and support the operative functions of the system 100, such as the operative functions of the first, second, third, fourth, and fifth user devices 102, 106, 110, 121, 125 and / or the detection devices 115, 130. In certain embodiments, the application may be a website, a mobile application, a software application, or a combination thereof, which may be made accessible to users utilizing one or more computing devices, such as the first, second, third, fourth, and fifth user devices 102, 106, 110, 121, 125 and / or the detection devices 115, 130. The application ofOur Docket: PCT-63663773 the system 100 may be accessible via an internet connection established with a browser program or other application executing on the first, second, third, fourth, and fifth user devices 102, 106, 110, 121, 125 and / or the detection devices 115, 130, a mobile application executing on the first, second, third, fourth, and fifth user devices 102, 106, 110, 121, 125 and / or the detection devices 115, 130, or through other suitable means. Additionally, the application may allow users and computing devices to create accounts with the application and sign-in to the created accounts with authenticating username and password log-in combinations. The application may include a custom graphical user interface that the first user 101 or second user 120 may interact with by utilizing a browser executing on the first, second, third, fourth, and fifth user devices 102, 106, 110, 121, 125 and / or the detection devices 115, 130. In certain embodiments, the software application may execute directly as an installed program on the first, second, third, fourth, and fifth user devices 102, 106, 110, 121, 125 and / or the detection devices 115, 130. Computing System for Facilitating the Operation and Functionality of the System

[0051] Referring now also to Figure 3, at least a portion of the methodologies and techniques described with respect to the exemplary embodiments of the system 100 and detection system 115 can incorporate a machine, such as, but not limited to, computer system 14100, or other computing device within which a set of instructions, when executed, may cause the machine to perform any one or more of the methodologies or functions discussed above. The machine may be configured to facilitate various operations conducted by the system 100. For example, the machine may be configured to, but is not limited to, assist the system 100 by providing processing power to assist with processing loads experienced in the system 100, by providing storage capacity for storing instructions or data traversing the system 100, by providing functionality and / or programs for facilitating the operative functionality of the detection devices 115, 130, and / or the first, second, third, fourth, and fifth user devices 102, 106, 110, 121, 125 and / or the detection devices 115, 130, by providing functionality and / or programs for facilitating operation of any of the components of the detection devices 115, 130 (e.g. ear canal receivers, transceivers, ear canal microphones, ambient sound microphones, or by assisting with any other operations conducted by or within the system 100.Our Docket: PCT-63663773

[0052] In some embodiments, the machine may operate as a standalone device. In some embodiments, the machine may be connected (e.g., using communications network 135, the communications network 116, the communications network 131, another network, or a combination thereof) to and assist with operations performed by other machines and systems, such as, but not limited to, the first user device 102, the second user device 111, the third user device 110, the fourth user device 121, the fifth user device 125, the navigational device 115, the navigational device 130, the server 140, the server 150, the database 155, the server 160, or any combination thereof. The machine may be connected with any component in the system 100. In a networked deployment, the machine may operate in the capacity of a server or a client user machine in a server-client user network environment, or as a peer machine in a peer-to-peer (or distributed) network environment. The machine may comprise a server computer, a client user computer, a personal computer (PC), a tablet PC, a laptop computer, a desktop computer, a control system, a network router, switch or bridge, or any machine capable of executing a set of instructions (sequential or otherwise) that specify actions to be taken by that machine. Further, while a single machine is illustrated, the term “machine” shall also be taken to include any collection of machines that individually or jointly execute a set (or multiple sets) of instructions to perform any one or more of the methodologies discussed herein.

[0053] The computer system 14100 may include a processor 14102 (e.g., a central processing unit (CPU, e.g., M1 Ultra Chip Apple Chip), a graphics processing unit (GPU, or both, e.g. Nvidia's Blackwell B200 GPU and GB200 "superchip"), a main memory 14104 and a static memory 14106, which communicate with each other via a bus 14108. The computer system 14100 may further include a video display unit 14110, which may be, but is not limited to, a liquid crystal display (LCD), a flat panel, a solid-state display, or a cathode ray tube (CRT). The computer system 14100 may include an input device 14112, such as, but not limited to, a keyboard, a cursor control device 14114, such as, but not limited to, a mouse, a disk drive unit 14116, a signal generation device 14118, such as, but not limited to, a speaker or remote control, and a network interface device 14120.

[0054] The disk drive unit 14116 may include a machine-readable medium 14122 on which is stored one or more sets of instructions 14124, such as, but not limited to, software embodying any one or more of the methodologies or functions described herein, including those methodsOur Docket: PCT-63663773 illustrated above. The instructions 14124 may also reside, completely or at least partially, within the main memory 14104, the static memory 14106, or within the processor 14102, or a combination thereof, during execution thereof by the computer system 14100. The main memory 14104 and the processor 14102 also may constitute machine-readable media.

[0055] Dedicated hardware implementations including, but not limited to, application specific integrated circuits, programmable logic arrays and other hardware devices can likewise be constructed to implement the methods described herein. Applications that may include the apparatus and systems of various embodiments broadly include a variety of electronic and computer systems. Some embodiments implement functions in two or more specific interconnected hardware modules or devices with related control and data signals communicated between and through the modules, or as portions of an application-specific integrated circuit. Thus, the example system is applicable to software, firmware, and hardware implementations.

[0056] In accordance with various embodiments of the present disclosure, the methods described herein are intended for operation as software programs running on a computer processor. Furthermore, software implementations can include, but not limited to, distributed processing or component / object distributed processing, parallel processing, or virtual machine processing can also be constructed to implement the methods described herein.

[0057] The present disclosure contemplates a machine-readable medium 14122 containing instructions 14124 so that a device connected to the communications network 135, the communications network 116, the communications network 131, another network, or a combination thereof, can send or receive voice, video or data, and communicate over the communications network 135, the communications network 116, the communications network 131, another network, or a combination thereof, using the instructions. The instructions 14124 may further be transmitted or received over the communications network 135, another network, or a combination thereof, via the network interface device 14120.

[0058] While the machine-readable medium 14122 is shown in an example embodiment to be a single medium, the term "machine-readable medium" should be taken to include a single medium or multiple media (e.g., a centralized or distributed database, and / or associated caches and servers) that store the one or more sets of instructions. The term "machine-readable medium" shall also be taken to include any medium that is capable of storing, encoding or carrying a setOur Docket: PCT-63663773 of instructions for execution by the machine and that causes the machine to perform any one or more of the methodologies of the present disclosure.

[0059] The terms "machine-readable medium," "machine-readable device," or "computer- readable device" shall accordingly be taken to include, but not be limited to: memory devices, solid-state memories such as a memory card or other package that houses one or more read-only (non-volatile) memories, random access memories, or other re-writable (volatile) memories; magneto-optical or optical medium such as a disk or tape; or other self-contained information archive or set of archives is considered a distribution medium equivalent to a tangible storage medium. The "machine-readable medium," "machine-readable device," or "computer-readable device" may be non-transitory, and, in certain embodiments, may not include a wave or signal per se. Accordingly, the disclosure is considered to include any one or more of a machine- readable medium or a distribution medium, as listed herein and including art-recognized equivalents and successor media, in which the software implementations herein are stored.

[0060] The illustrations of arrangements described herein are intended to provide a general understanding of the structure of various embodiments, and they are not intended to serve as a complete description of all the elements and features of apparatus and systems that might make use of the structures described herein. Other arrangements may be utilized and derived therefrom, such that structural and logical substitutions and changes may be made without departing from the scope of this disclosure. Figures are also merely representational and may not be drawn to scale. Certain proportions thereof may be exaggerated, while others may be minimized. Accordingly, the specification and drawings are to be regarded in an illustrative rather than a restrictive sense.

[0061] Thus, although specific arrangements have been illustrated and described herein, it should be appreciated that any arrangement calculated to achieve the same purpose may be substituted for the specific arrangement shown. This disclosure is intended to cover any and all adaptations or variations of various embodiments and arrangements of the invention. Combinations of the above arrangements, and other arrangements not specifically described herein, will be apparent to those of skill in the art upon reviewing the above description. Therefore, it is intended that the disclosure not be limited to the particular arrangement(s) disclosed as the best mode contemplated for carrying out this invention, but that the inventionOur Docket: PCT-63663773 will include all embodiments and arrangements falling within the scope of the appended claims.

[0062] FIG.4 is a schematic diagram of a Helmholtz chamber that can be used in a detection device. The cavity amplifier is based upon the basic physics Helmholtz cavity. A Helmholtz cavity is a cavity that has an inherent resonance frequency based upon the dimensions of the cavity. Thus, the Helmholtz cavity 400 amplifies frequencies, of incident sound at the resonance frequency F. The formula can be expressed as:

[0063] (1) ^ = ^ ^^^^^^^^.^∗√^^∗^343m / s, but is actually a function of temperature.the cross-sectional area 440 of small tube 410 inlet. V is the interior volume of large chamber 420. For example, if L=5cm, A=1cm^2, V=10cm^3, and c=343m / sec, the Helmholtz chamber is designed for a resonance frequency of 716.80Hz. As the volume changes the resonance frequency changes. Fig. 5 illustrates an exemplary embodiment of a detection device 500 where the adjustable backwall 530 of chamber 520 can move changing the designed resonant frequency F. An intake cone 540 can be attached to the chamber 520 to direct sound from various directions, creating a detection cone 550 that can be used for detection from within the cone. The adjustable backwall 530 can be mechanically adjusted in response to frequency enhancement as a function of adjustment. For example, adjustment can be made until the target frequency exhibits a peak, then a reduction, then the adjustment is adjusted back to the correct position associated with the peak.

[0065] FIG. 6 is a schematic diagram of an accumulation of Helmholtz devices, 610 each designed for specific frequencies (611, 612, 613, and 614, although more or less can be used). For example, each type of drone can have various peaks at different frequencies. To detect a particular drone the system of detectors 600 can be designed to pick up the various peak frequencies (611, 612, 613, 614), one for each detector 610. For example, most drones can have the frequency 611 in common, with different distinguishing frequencies 612, 613, 614. An exemplary procedure can be to use 611 to detect drones (e.g., often the speed of drone propellors), then adjust the frequencies 612, 613, and 614 to identify the type of drone. Once identified the relative peak amplitudes can be used to detect distance since attenuation is a function of frequency. Note that the system 600 can be mounted on various objects. For example, drones, vehicles, backpacks, and even fixed positions on the ground can be used to place the detectionOur Docket: PCT-63663773 system 600. Another example of system 600 is that the cavity array can be designed to enhance a chosen frequency range associated with the target acoustic sense, e.g., 500Hz to 3000Hz for vocal pickup. For example, the system can be used to assist voice assistant system pick up voices. For example, each chamber could have L=1cm, A=1cm^2, c=343m / sec, and for a lower F=500Hz then V=66.34 cm^3 and for a higher F=3000Hz then V=1.842 cm^3. The array could have an adjustable base to hone in on the various frequencies by adjusting the volume V. the frequencies can be used to filter out noise frequencies not associated with the voice frequencies.

[0066] FIG.7 is a schematic diagram of a system 700 of accumulation of Helmholtz devices 710, each designed for specific frequencies (f1, f2, f3, and f4) including a Helmholtz chamber 720 used for energy harvesting. Using a Helmholtz chamber for energy harvesting is discussed in “Multi-Tube Helmholtz Resonator Based Triboelectric Nanogenerator for Broadband Acoustic Energy Harvesting”, Zhang, Wang, Liu, Yu, Wang and Xu, Frontiers in Materials, published 26 April 2022, incorporated herein in its entirety. The detection system 700 can be a passive detection system 700 using the additional Helmholtz 720 for energy harvesting. When detection occurs a wireless or wired message can be sent notifying a remote communication system. Instructions and / or inquiries can be received by the remote communication system.

[0067] As discussed above various drones can have various frequency peaks, which when viewed in time can make up a spectrogram. FIG. 8 is a schematic diagram showing the spectrogram signatures (810, 820) of two separate drones (815, 825). For example, drone 815 can generate an acoustic spectrogram 810, while drone 825 can generate an acoustic spectrogram 820. Note that each spectrogram has frequency peaks, often associated with rotor speeds. Some drones have common frequency peaks such as f3, and drone specific unique peaks such as f1, f2 and f4. When traveling at certain velocities the frequencies for a particular drone will peak at certain frequencies. This is because based upon the aerodynamics of the drone, the rotors have to spin at certain rates. For example, a lighter drone can have a slower propellor (rotor) speed to hover than a heavier drone in which the rotors would have to provide more life and thus spin faster. Thus, the spectrogram can identify drones but also provide information on speed and distance (relative peak amplitude variations).

[0068] FIG. 9 is a schematic diagram of a detection device 900 containing adjustable Helmholtz chambers 910 in a hemispherical arrangement. The detection device is configured toOur Docket: PCT-63663773 cover a large portion of the sky that can be set or mounted.

[0069] FIG. 10 is a schematic diagram of drone 1000 containing a hemispherical detection device 1010. Note that this is a non-restrictive example. However, mounting the detection device 1010 on the drone 1000 or any other vehicle allows a user to spread the mounted drone 1000 to various positions and rest, establishing a detection zone around the user that can be adjusted.

[0070] FIG. 11 is a schematic diagram of a detection system 1100 including a group of detection drones 1110, controlled by a user 1120. The configuration shown in Fig.11 is prior to distribution to establish a detection zone. The user can establish where each detection drone 1110 is sent. Each detection drone can communicate with each other as well as the user 1120.

[0071] FIG. 12 is a schematic diagram of a detection system 1200 including a group of detection drones 1210 that have spread 1205 creating a detection region defined by the summation of detection envelopes 1220. The detection drones 1210 can communicate to a communicative device 1240 and / or the user 1230. The detection drones 1210 can receive inquiries, instructions, requests from the user 1230 and / or communication device 1240. Each individual detection drone 1210 can also send notifications to the user 1230 and / or communication device 1240. The order of detection, which drone reports first, then second and so on, also provides detected drone navigational information. Note that although drone detection is the primary non-limiting example discussed herein. The detection devices 1210, can be tailored to detect a set of frequencies assocaited with other machines (trucks, cars, airplanes, helicopters, machines, generators), gun cocking, foreign languages, alarms, low frequency motion, weather sounds, and so on. Note that the detection devices 1210 can also include additional sensors, such as infrared, cameras, electromagnetic detectors, pressure detectors, humidity detectors, chemical and bio detectors. For example, in addition to drone detection, the detection devices 1210 can detect troop movement in he area, or a bio attack, or a chemical or radiation attack. Note that the detection devices 1210 can communicate via wireless or wired methods, including fiber optic cable.

[0072] FIG. 13 is a schematic diagram 1300 of a neural nodes (1305) for AI development. The nodes 1305 can be configured into layers (1310, 1320, 1330, 1340, 1350) of nodes interdependent. The first layer 1310 is set up so that each node has a data value associated with a question such as, has a drone been detected? For example, each node 1305 of layer 1310 canOur Docket: PCT-63663773 be a pixel value of a spectrogram picked up by the detection device 1210 using a Helmholtz chamber. A time segment from ΔT=Tn-T1 is chosen (e.g., 3 seconds) which can be broken into time segments ΔTS, from which the acoustic signal (e.g. measured from cavity amplifiers, and ambient mics) within this time segment is broken into spectral space (e.g., using FFT, DFT, Analog signals from cavity amplifiers). The spectral space can be broken into frequency bins Δfs. The values V(k,l) within the spectrogram location f+k Δfs, T+lΔTs can form a value matrix.

[0073] Each pixel of the spectrogram 810 can be viewed as a neuron 1305. The value neurons of the value matrix 1310 can each be weighted and summed to form the next array of matrix neurons, layer 1320, and so on until the resultant matrix sum results in a value first distinguishing whether the acoustic spectrogram contains a drone signal, layer 1330, then a next layer of neurons focused in the area of the spectrogram identified as the drone signal (e.g., there could be other acoustic signals in the spectrogram) or multiple drone signals can be used to try and isolate the actual drone type. Note that matrix sums do not need to be used, matrix multiplications, other types of neuron links can be used.

[0074] In general, the node values (M(c,d)) in layers 1320, 1330, 1340 and 1350 can be expressed as:

[0075] (2) ^^^, ^^ = ∑^^ ,!^^^";!^" ^^^, ^^^^^, ^^ + ^^^, ^^upon layer 1310 can be expressed as:

[0077] (3) ^1^^, ^^ = ∑^^ ,!^^^";!^" ^^^, ^^%^^, ^^ + ^^^, ^^sets (T(m,n), image arrays associated with acoustic sources, drone ID).

[0079] Several parameters can be used to better set the meaning of certain neurons, for example number of peaks above a threshold, distance between peaks, relative amplitudes between peaks, any gaps in time between frequency peaks in time (this would indicate the motor is off, so signal likely a bird or other object)

[0080] For example, the distance between the first two acoustic peaks in a spectrogram can be a value MD(i) that is given a weight wd(1,2)MD(1,2), Likewise the distance between the first and third peaks w(d1,3)MD(1,3), and the second and third peaks wd(2,3)MD(2,3)…An arbitrarily large number of peaks can be set in the array first as zeros. Additionally, the relativeOur Docket: PCT-63663773 magnitudes of the peaks can be important for example the ratio of the 2ndpeak to the 1stpeak wa(2,1)MA(2,1) and so on. Basically, choosing features unique to the identification problem. Then these matrices can be used in a learning type setting to establish the relative proper weights to use in identification. Note another feature could be the rate of changes of the distance between peaks with the time segment, in some drones these changes and can be used as an identification feature. Basically, the multilayer matrix values are determined via a training set. Then any input matrix can be entered into layer 1310, and two possible outputs can occur, an identification of the acoustic source detected (e.g., drone, truck, gunshot, airplane), layer 1330 values, and / or acoustic source identification values of layer 1350 (e.g., type of drone, type of truck, location, navigation info). Note that the location and navigation information can also be determined via a different neural network after the acoustic source has been detected.

[0081] FIG.14 is a schematic diagram of components of a detection device 1400. The cavity amplifiers 1475 (Helmholtz chamber) can be attached to processor(s) 1420 to control notification, communication, data storage to form a detection device. The processor 1420 (e.g., STM32 processors, audio DSP processors TMS320C6x, AV10, Altitude 16) can be connected to various memory systems, RAM 1450 (e.g., Corsair Vengeance RGB 32GB of DDR5 RAM), ROM 1460 (e.g., EEPROM), and Cache memory 1490. Either or all memory systems can store instructions and data. The processor or processors 1420 can be connected to a interface 1480 such as a keyboard, voice command system, touch display, display, holographic interface, gesture interface and other forms of interface known by hose of ordinary skill. The processor(s) 1420 can also accept audio input 1440 such as audio content signals from a communication device or remote server, or a microphone array, or other signal from memory. The detection device 1400 can be powered 1430 (e.g., battery, wired socket, solar) or use also energy harvesting 1455 (e.g., energy harvesting Helmholtz chamber). The device 1400 can also include speakers 1465, and microphones such as an ambient sound microphone(s) 1485. Data can be transmitter from the processor(s) 1420 via a wireless audio transceiver 1470 to portable or remote device 1435 (e.g., remote servers), which can be connected to interfaces 1445 and / or displays(s) 1425. When the detection device 1400 detects an object a notification can be sent 1410, which can be visual, acoustic or just code. Note that additional sensors 1485 can provide information to and accept instructions from the processor(s) 1420.Our Docket: PCT-63663773

[0082] FIG. 15 illustrates a deployed detection system 1500, which can be controlled by a user 1530, and / or communication device 1540. Detection devices 1510, 1521, 1531, 1542 are deployed with a detection region 1520 associated with each detection device. As illustrated detection device 1510 detects 1590 a hostile device 1570 traveling along path 1580. Once the hostile device 1570 is detected, various responses beside notification to the user 1530 and / or communication device 1540 can be enacted as shown in Fig. 16.

[0083] FIG. 16 illustrates the deployed system of FIG. 15 reacting to a detected oncoming drone. Upon detection, several mobile detection devices 1541, 1521, and 1531 can reposition themselves, 1542, 1532 and 1522 respectively, to create a barrier along the incoming path 1580 of the hostile device 1570. Some of the mobile detection devices, for example 1510 can be configured to explode 1515 to intercept the hostile device 1570, for example a localized electro- magnetic pulse (EMP), explosion of shrapnel, actual physical collision. ADDITIONAL NON-LIMITING EXEMPLARLY EMBODIMENTS

[0084] At least one further exemplary embodiment is directed to a detection device comprising: a microphone (e.g., dynamic microphones, condenser microphones, Knowles S10530090V6, Infineon IM72D128V01XTMA1, Neumann MA 1 measurement microphone, Audix TM1 Plus omnidirectional condenser microphone, Minidsp UMIK-1, ECM8000 and the like); an array of cavity amplifiers 600, wherein each cavity amplifier in the array is configured for a unique central acoustic frequency (e.g., 611, 612, 613, 614), wherein the array generates an array signal; a memory that stores instructions; and a processor, operatively connected to the microphone, operatively connected to the array of cavity amplifiers, where the processor is operatively connected to the memory, where the processor is configured to execute the instructions to perform operations. For example, the operations can comprise receiving the array signal from the cavity amplifiers 600; generating an acoustic spectrogram (e.g., 810, 820) from the array signal; generating a matrix of input values (e.g., 1310) from the acoustic spectrogram (e.g., 810, 820); inputting the matrix of input values (e.g., 1310) into a neural network (e.g., 1300) generating a result (e.g., 1330 and / or 1350); generating a notification signal (e.g., sending a data signal to a user or communication device or processor) if the result matches a detection value (e.g., a values associated with various acoustic sources such as,… AAI RQ-7 Shadow, X- 47A, MQ-1 Predator, RQ-12 Wasp, Bayraktar TB2, TAI Anka, CAIG Wing Loong II,Our Docket: PCT-63663773 Kronshtadt Orion, Shahed-129 and the like); and sending the notification signal (e.g., audio or visual message to a user or communication device or processor) to a communication device (e.g., being used by a user).

[0085] Note that the detection value (e.g., identification data value, numerical and / or alphanumeric) can be associated with any acoustic source or other emissions from sources detected by sensors (e.g., M2 Bradley, M939 truck, Oshkosh M1070 transporter, M816 Wrecker, Stryker, Humvee, RG-31 Caiman, LARC-V, languages spoken, Class LHA(R) amphibious ships, AH-1W Super Cobra, MH-60R Seahawk, SIG Sauer M17 pistol, B&T APC9 Pro-K submachine gun, M7 Assault rifle, M250 light machine gun, M2A1 heavy machine gun, M110 SASS semi- automatic sniper rifle, Mk 19 automatic grenade launcher, M67 fragmentation grenade, M84 flashbang, M136 AT4 anti-tank weapon, FIM-92 Stinger anti-aircraft missile, M109A6 Paladin Self-propelled howitzer, M119 Towed howitzer, M270 multiple launch rocket system, Cardom recoil mortar system, Centurion C-RAM with rotary cannon air defense system, MIM-104 Mobile long range surface to air missile system, M1 Abrams tanks, Armored ground mobility systems, M113 armored personnel carrier, M-ATV mine resistant ambush protected vehicle, M1288 GMV 1.1 light utility vehicle, M1070 heavy equipment transporter truck, M88 Hercules armored recovery vehicle, M60 armored vehicle launch bridge, Hydrema MCV 910 mine- clearing vehicle, spoken foreign language, cocking weapons, whispers and the like). Note that a detection value can be a numerical value associated with a particular vehicle, for example 1 = M1 Abrams tank, or alphanumeric, A=M1Abrams tank.

[0086] An exemplary embodiment can embed a detection device onto or into a drone referred to as a detection drone. The drone normally includes a navigation system, for example one that includes inertial navigation sensors, GPS sensors, incorporating the data into various filters, such as a Kalman filter to determine accurate navigation data (position, velocity and acceleration) to control the position of the drone. The detection drone can include other sensors in addition to cavity amplifiers, for example infrared sensors, optical sensors, radiation detectors, gravity detectors, seismic sensors, and the like.

[0087] An exemplary embodiment can include further operations such as receiving a sensor signal from the sensor, where the sensor signal (e.g., digital data stream, analog data stream) can be matched (e.g., by analyzing the sensor signal) to an identification data value, and used toOur Docket: PCT-63663773 verify the detection value identified by the cavity amplifiers.

[0088] At least one exemplary embodiment is s system that includes an array of detection drones, that can be deployed to positions that setup a detection region. For example, the detection drones can be flown to particular locations and landed to detect passively (e.g., detection mode). For example, in an urban environment, detection drones can be positioned on various surfaces in a neighborhood, to pick up particular voices which can be analyzed to detect a particular voice of a target. In another example, the detect drone array can be dispersed to establish a detection perimeter, and upon detection can take several actions. For example, a notification signal can be sent when a target is detected (e.g. detection signal sent) by any of the drones. Additionally, the drones can be repositioned to intercept the target and can each include anti-target capabilities. For example, each drone can include explosives and shrapnel so that when within range of the target can explode interrupting the targets path. Some of the drones could include electromagnetic pulse (EMP) devices that have a local extent to disrupt the target.

[0089] At least one further exemplary embodiment can be used as a voice assistant device that uses cavity amplifiers. For example, the voice assistant device can use the array signal to identify voice, then interpret the voice to determine a voice command (e.g., raise volume, call person, activate earphone mode, activate voice assistant and the like). The assistant device can act upon the voice command and generate a response that can be sent to a speaker in or linked to the assistant device. The assistant device can also analyze the array signal for a voice inquiry (e.g., request music, request internet information, information inquiry using AI, and the like) which can retrieve data from local memory or from a remote server storing the requested information. The local processor can send the requested information back to the user likewise the remote server can send the information to the user. The requested information (data) can be sent to a display such as a touchscreen, and / or a speaker.

[0090] The foregoing is provided for purposes of illustrating, explaining, and describing embodiments of this invention. Modifications and adaptations to these embodiments will be apparent to those skilled in the art and may be made without departing from the scope or spirit of this invention. Upon reviewing the aforementioned embodiments, it would be evident to an artisan with ordinary skill in the art that said embodiments can be modified, reduced, or enhanced without departing from the scope and spirit of the claims described below.

Claims

Our Docket: PCT-63663773 CLAIMS I claim:

1. A detection device comprising: a microphone; an array of cavity amplifiers, wherein each cavity amplifier in the array is configured for a unique central acoustic frequency, wherein the array generates an array signal; a memory that stores instructions; and a processor, operatively connected to the microphone, operatively connected to the array of cavity amplifiers, where the processor is operatively connected to the memory, where the processor is configured to execute the instructions to perform operations, the operations comprising: receiving the array signal; generating an acoustic spectrogram from the array signal; generating a matrix of input values from the acoustic spectrogram; inputting the matrix of input values into a neural network generating a result; generating a notification signal if the result matches a detection value; and sending the notification signal to a communication device.

2. The detection device according to claim 1 wherein the detection value is associated with an acoustic source.

3. The detection device according to claim 2, wherein the acoustic source is a drone, aircraft, helicopter, or ground vehicle.

4. A detection drone, comprising: a detection device according to claim 1; a second processor; at least four rotors; and a navigation system.Our Docket: PCT-63663773 5. The detection drone according to claim 4 further comprising: a sensor.

6. The detection drone according to claim 5, wherein the sensor is an infrared image sensor.

7. The detection drone according to claim 6, wherein the operations further comprising: receiving a sensor signal from the sensor.

8. The detection drone according to claim 7, wherein the operations further comprising: identifying second detection value by analyzing the sensor signal.

9. The detection drone according to claim 8, wherein the notification signal is generated if the result matches the detection value and the second detection value.

10. A detection drone array comprising: a first detection drone according to claim 4; a second detection drone according to claim 4; a third detection drone according to claim 4; a controlling unit, wherein the controlling unit is configured to perform the following operations: positioning the first, second and third drones to predetermined positions. activating a detection mode in the first, second and third drones.

11. The detection array according to claim 10 wherein the operations further comprising: receiving a detection signal from the first detection drone, wherein the detection signal indicates a detected target drone.

12. The detection array according to claim 11 wherein the operations further comprising:Our Docket: PCT-63663773 repositioning the first, second and third detection drones to intercept the detected target drone.

13. A voice assistant device, comprising: a detection device according to claim 1; a second processor; a second memory; and a display that can be used as a user interface, where the second processor is configured to execute the instructions stored in the second memory to perform operations, the operations comprising: analyzing the array signal for a voice command.

14. The voice assistant device according to claim 13, wherein the operations further comprise: controlling a signal sent to a speaker in response to the voice command.

16. A voice assistant device, comprising: a detection device according to claim 1; a second processor; a second memory; and a display that can be used as a user interface, where the second processor is configured to execute the instructions stored in the second memory to perform operations, the operations comprising: analyzing the array signal for a voice inquiry.

17. The voice assistant device according to claim 16 wherein the operations further comprise: sending the voice inquiry to a remote server to retrieve data.

18. The voice assistant device according to claim 17 wherein the operations further comprise: receiving requested data from the remote server.Our Docket: PCT-63663773 19. The voice assistant device according to claim 18 wherein the operations further comprise: sending the requested data to the display.

20. The voice assistant device according to claim 18 wherein the operations further comprise: sending the requested data to a speaker.

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