Collaboration of audio sensors for geo-location of events in an artificial intelligence (AI) environment

An artificial intelligence (AI) system leverages collaboration of multiple audio sensors for geo-location of an event. Location information is stored for each of the plurality of geographically-dispersed AI clients. Each of the AI clients can include an audio sensor, a network controller, and a feed...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Nourshahi Narges Banou, Malekal Vinay Venkatesh, Shams Nima Lahijani
Format: Patent
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Nourshahi Narges Banou
Malekal Vinay Venkatesh
Shams Nima Lahijani
description An artificial intelligence (AI) system leverages collaboration of multiple audio sensors for geo-location of an event. Location information is stored for each of the plurality of geographically-dispersed AI clients. Each of the AI clients can include an audio sensor, a network controller, and a feedback mechanism (e.g., a speaker or an LED) within a common enclosure. Responsive to detection of an event (e.g., involving a human, machine, or ambient condition) at two or more of the plurality of geographically-dispersed AI clients, audio event data is centrally received from audio sensors of the two or more of the plurality of geographically-dispersed AI sensors. A location is estimated based on the location information and the audio event data. Responsive to classification of the event in view of the estimated location, a command is received for a response to the event at the AI clients that detected the event, or others.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US9710753B1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US9710753B1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US9710753B13</originalsourceid><addsrcrecordid>eNqNyjELwkAMhuEuDqL-h4w6FCxFiqMWRWd1LvHM1UBMyt3Z3-8N4ix88MLHMy2erYng3QImNgXzgO8HG0TSaCGCtwA9WSnmfoJG0hSBFTAvJPbsGCUfiUS4J3UEy915BaQjB9NX9vNi4lEiLb6dFXA8XNtTSYN1FAd0pJS622XbVOtmU--r-g_yAVvsP68</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Collaboration of audio sensors for geo-location of events in an artificial intelligence (AI) environment</title><source>esp@cenet</source><creator>Nourshahi Narges Banou ; Malekal Vinay Venkatesh ; Shams Nima Lahijani</creator><creatorcontrib>Nourshahi Narges Banou ; Malekal Vinay Venkatesh ; Shams Nima Lahijani</creatorcontrib><description>An artificial intelligence (AI) system leverages collaboration of multiple audio sensors for geo-location of an event. Location information is stored for each of the plurality of geographically-dispersed AI clients. Each of the AI clients can include an audio sensor, a network controller, and a feedback mechanism (e.g., a speaker or an LED) within a common enclosure. Responsive to detection of an event (e.g., involving a human, machine, or ambient condition) at two or more of the plurality of geographically-dispersed AI clients, audio event data is centrally received from audio sensors of the two or more of the plurality of geographically-dispersed AI sensors. A location is estimated based on the location information and the audio event data. Responsive to classification of the event in view of the estimated location, a command is received for a response to the event at the AI clients that detected the event, or others.</description><language>eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRICITY ; PHYSICS ; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><creationdate>2017</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20170718&amp;DB=EPODOC&amp;CC=US&amp;NR=9710753B1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76294</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20170718&amp;DB=EPODOC&amp;CC=US&amp;NR=9710753B1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Nourshahi Narges Banou</creatorcontrib><creatorcontrib>Malekal Vinay Venkatesh</creatorcontrib><creatorcontrib>Shams Nima Lahijani</creatorcontrib><title>Collaboration of audio sensors for geo-location of events in an artificial intelligence (AI) environment</title><description>An artificial intelligence (AI) system leverages collaboration of multiple audio sensors for geo-location of an event. Location information is stored for each of the plurality of geographically-dispersed AI clients. Each of the AI clients can include an audio sensor, a network controller, and a feedback mechanism (e.g., a speaker or an LED) within a common enclosure. Responsive to detection of an event (e.g., involving a human, machine, or ambient condition) at two or more of the plurality of geographically-dispersed AI clients, audio event data is centrally received from audio sensors of the two or more of the plurality of geographically-dispersed AI sensors. A location is estimated based on the location information and the audio event data. Responsive to classification of the event in view of the estimated location, a command is received for a response to the event at the AI clients that detected the event, or others.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRICITY</subject><subject>PHYSICS</subject><subject>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2017</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyjELwkAMhuEuDqL-h4w6FCxFiqMWRWd1LvHM1UBMyt3Z3-8N4ix88MLHMy2erYng3QImNgXzgO8HG0TSaCGCtwA9WSnmfoJG0hSBFTAvJPbsGCUfiUS4J3UEy915BaQjB9NX9vNi4lEiLb6dFXA8XNtTSYN1FAd0pJS622XbVOtmU--r-g_yAVvsP68</recordid><startdate>20170718</startdate><enddate>20170718</enddate><creator>Nourshahi Narges Banou</creator><creator>Malekal Vinay Venkatesh</creator><creator>Shams Nima Lahijani</creator><scope>EVB</scope></search><sort><creationdate>20170718</creationdate><title>Collaboration of audio sensors for geo-location of events in an artificial intelligence (AI) environment</title><author>Nourshahi Narges Banou ; Malekal Vinay Venkatesh ; Shams Nima Lahijani</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US9710753B13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2017</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRICITY</topic><topic>PHYSICS</topic><topic>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</topic><toplevel>online_resources</toplevel><creatorcontrib>Nourshahi Narges Banou</creatorcontrib><creatorcontrib>Malekal Vinay Venkatesh</creatorcontrib><creatorcontrib>Shams Nima Lahijani</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Nourshahi Narges Banou</au><au>Malekal Vinay Venkatesh</au><au>Shams Nima Lahijani</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Collaboration of audio sensors for geo-location of events in an artificial intelligence (AI) environment</title><date>2017-07-18</date><risdate>2017</risdate><abstract>An artificial intelligence (AI) system leverages collaboration of multiple audio sensors for geo-location of an event. Location information is stored for each of the plurality of geographically-dispersed AI clients. Each of the AI clients can include an audio sensor, a network controller, and a feedback mechanism (e.g., a speaker or an LED) within a common enclosure. Responsive to detection of an event (e.g., involving a human, machine, or ambient condition) at two or more of the plurality of geographically-dispersed AI clients, audio event data is centrally received from audio sensors of the two or more of the plurality of geographically-dispersed AI sensors. A location is estimated based on the location information and the audio event data. Responsive to classification of the event in view of the estimated location, a command is received for a response to the event at the AI clients that detected the event, or others.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng
recordid cdi_epo_espacenet_US9710753B1
source esp@cenet
subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
PHYSICS
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
title Collaboration of audio sensors for geo-location of events in an artificial intelligence (AI) environment
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T00%3A17%3A15IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=Nourshahi%20Narges%20Banou&rft.date=2017-07-18&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS9710753B1%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true