Detection and classification of abnormal sounds
US-9396632-B2 · Jul 19, 2016 · US
US2016321886A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016321886-A1 |
| Application number | US-201615209130-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jul 13, 2016 |
| Priority date | Dec 5, 2014 |
| Publication date | Nov 3, 2016 |
| Grant date | — |
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An audio surveillance system includes a plurality of nodes and each node includes a microphone, a speaker, and a control unit. The microphone is configured to detect sound and the speaker is configured to provide sound. The control unit is configured to receive a plurality of inputs from the plurality of nodes and the plurality of inputs are based on a detected sound; determine a location of the source of the detected sound based on the plurality of inputs; classify the detected sound according to predefined alert conditions and based on the location of the source of the detected sound; provide an alert to a monitoring device regarding the detected sound based on the classification of the detected sound; and control at least one node from the plurality of nodes to provide an audio response to the detected sound.
Opening claim text (preview).
1 . An audio surveillance node, comprising: a microphone configured to detect sound and to detect acoustic pulses; a speaker configured to provide sound and to emit acoustic pulses; and a control unit configured to: receive a plurality of inputs, including a plurality of sound inputs based on a detected sound detected by the microphone and a plurality of acoustic pulses transmitted by a second audio surveillance node and detected by the microphone; determine a location of the audio surveillance node relative to the second audio surveillance node based on the acoustic pulses detected by the microphone; determine a location of the source of the detected sound based on the plurality of sound inputs and the location of the second audio surveillance node; classify the detected sound according to predefined alert conditions and based on the determination of the location of the source of the detected sound; provide an alert to a monitoring device regarding the detected sound based on the classification of the detected sound; and provide an audio response to the detected sound. 2 . The audio surveillance node of claim 1 , further comprising a wireless transceiver configured to transmit time-of-emission data for each emitted acoustic pulse and receive time-of-emission data for each detected acoustic pulse. 3 . The audio surveillance node of claim 1 , wherein the control unit is further configured to determine time-of-flight data for each detected acoustic pulse. 4 . The audio surveillance node of claim 1 , further comprising a wireless transceiver configured to transmit time-of-flight data for each detected acoustic pulse and receive time-of-emission data for a plurality of acoustic pulses detected by other audio surveillance nodes. 5 . The audio surveillance node of claim 1 , wherein the determination of the location of the audio surveillance node is based on a plurality of time-of-flight data. 6 . The audio surveillance node of claim 1 , further comprising a wireless transceiver configured to transmit a signal based on the detected sound and receive a signal indicative of the audio response. 7 . The audio surveillance node of claim 1 , wherein the alert includes an audio recording based on the detected sound. 8 . The audio surveillance node of claim 1 , wherein the alert includes at least one of a captured image and a video recording. 9 . The audio surveillance node of claim 1 , wherein the control unit is configured to determine the location of the source of the detected sound based on at least one sound characteristic from the group including time of arrival, relative intensity, relative spectral content, and triangulation. 10 . The audio surveillance node of claim 1 , wherein the control unit is further configured to automatically direct the microphone toward the location of the source of the detected sound. 11 . The audio surveillance node of claim 1 , further comprising a camera, wherein the camera is at least one of a video camera, a still camera, or a spectral camera. 12 . The audio surveillance node of claim 11 , wherein the control unit is further configured to automatically direct the camera toward the location of the source of the detected sound. 13 . A method for detecting and classifying sounds, comprising: receiving, by a control unit, a plurality of inputs from a plurality of nodes, wherein the plurality of inputs are based on a detected sound; determining, by the control unit, a location of the source of the detected sound based on the plurality of inputs; classifying, by the control unit, the detected sound according to predefined alert conditions and based on the location of the source of the detected sound; providing, by the control unit, an alert to a monitoring device regarding the detected sound based on the classification of the detected sound; and controlling, by the control unit, at least one node from the plurality of nodes to provide an audio response to the detected sound. 14 . The method of claim 13 , further comprising transmitting a signal based on the detected sound and receiving a signal indicative of the audio response. 15 . The method of claim 13 , wherein the detected sound is detected by a microphone, and wherein the microphone is a directional microphone. 16 . The method of claim 13 , wherein the audio response is provided by a speaker, and wherein the speaker includes one of a wide angle speaker, a directional speaker, or a directional speaker using nonlinearly downconverted ultrasound. 17 . The method of claim 13 , wherein the plurality of inputs are further based on an image captured by a camera, wherein the camera is at least one of a video camera, a still camera, or a spectral camera. 18 . The method of claim 17 , further comprising automatically directing the microphone based on input from the camera. 19 . The method of claim 13 , wherein the predefined alert conditions include a sound condition and an image condition. 20 . The method of claim 13 , further comprising altering the predefined alert conditions based on a time of day. 21 . The method of claim 13 , further comprising applying a first alert condition to a first node and a second alert condition to a second node. 22 . The method of claim 21 , wherein the applied alert condition is based on the location of the node. 23 . The method of claim 13 , further comprising determining the location of at least some of the plurality of nodes based on acoustic pulses transmitted by a speaker and received by a microphone. 24 . The method of claim 13 , further comprising detecting a moving audio shadow caused by a person blocking a portion of a sound source. 25 . A method for detecting and classifying sounds, comprising: receiving, by a control unit, a plurality of inputs, including a plurality of sound inputs based on a detected sound and time-of-flight data for a plurality of acoustic pulses transmitted and received by different audio surveillance nodes; determining, by the control unit, a location of an audio surveillance node based on the plurality of time-of-flight data; determining, by the control unit, a location of the source of the detected sound based on the plurality of sound inputs and based on the location of the audio surveillance node; classifying, by the control unit, the detected sound according to predefined alert conditions and based on the location of the source of the detected sound; providing, by the control unit, an alert to a monitoring device regarding the detected sound based on the classification of the detected sound; and controlling, by the control unit, a speaker to provide an audio response to the detected sound. 26 . The method of claim 25 , wherein the predefined alert conditions include a sound condition and an image condition. 27 . The method of claim 25 , further comprising altering the predefined alert conditions based on a time of day. 28 . The method of claim 25 , wherein the predefined alert conditions include conditions based on at least one of voices, glass breaking, running, falling, screams, fighting noises, or gun shots. 29 . The method of claim 25 , further comprising determining a movement of a sound source based on Doppler shifts in sound. 30 . The method of claim 25 , further comprising determining a velocity of the sound
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