AUTONOMOUS SELF-LEARNING ARTIFICIAL INTELLIGENCE INTENT SYSTEM FOR ACCESS CONTROL
One embodiment provides an access control system including access control sensors to detect actions performed in a vicinity of an access point, a verification sensor to verify access of the access point, and an electronic processor communicatively coupled to the access control sensors and the verifi...
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creator | RUSSO, Pietro WILSON, Ron LIPCHIN, Aleksey MALAKUTI, Kaveh |
description | One embodiment provides an access control system including access control sensors to detect actions performed in a vicinity of an access point, a verification sensor to verify access of the access point, and an electronic processor communicatively coupled to the access control sensors and the verification sensor. The electronic processor is configured to in response to an access intent model satisfying an accuracy condition, deploy the access intent model for the access point and receive a dataset indicating an action performed in the vicinity of the access point. The electronic processor is also configured to predict an access intent to access the access point by applying the access intent model to the dataset and enable access through the access point. The electronic processor is further configured to receive verification data indicating whether the access point is accessed, and automatically assign a label to the dataset based on the verification data. |
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The electronic processor is configured to in response to an access intent model satisfying an accuracy condition, deploy the access intent model for the access point and receive a dataset indicating an action performed in the vicinity of the access point. The electronic processor is also configured to predict an access intent to access the access point by applying the access intent model to the dataset and enable access through the access point. The electronic processor is further configured to receive verification data indicating whether the access point is accessed, and automatically assign a label to the dataset based on the verification data.</description><language>eng ; fre ; ger</language><subject>ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDEDFOR ELSEWHERE ; CALCULATING ; CHECKING-DEVICES ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; GENERATING RANDOM NUMBERS ; PHYSICS ; REGISTERING OR INDICATING THE WORKING OF MACHINES ; TIME OR ATTENDANCE REGISTERS ; VOTING OR LOTTERY APPARATUS</subject><creationdate>2023</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&date=20230927&DB=EPODOC&CC=EP&NR=4248426A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76419</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230927&DB=EPODOC&CC=EP&NR=4248426A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>RUSSO, Pietro</creatorcontrib><creatorcontrib>WILSON, Ron</creatorcontrib><creatorcontrib>LIPCHIN, Aleksey</creatorcontrib><creatorcontrib>MALAKUTI, Kaveh</creatorcontrib><title>AUTONOMOUS SELF-LEARNING ARTIFICIAL INTELLIGENCE INTENT SYSTEM FOR ACCESS CONTROL</title><description>One embodiment provides an access control system including access control sensors to detect actions performed in a vicinity of an access point, a verification sensor to verify access of the access point, and an electronic processor communicatively coupled to the access control sensors and the verification sensor. The electronic processor is configured to in response to an access intent model satisfying an accuracy condition, deploy the access intent model for the access point and receive a dataset indicating an action performed in the vicinity of the access point. The electronic processor is also configured to predict an access intent to access the access point by applying the access intent model to the dataset and enable access through the access point. The electronic processor is further configured to receive verification data indicating whether the access point is accessed, and automatically assign a label to the dataset based on the verification data.</description><subject>ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDEDFOR ELSEWHERE</subject><subject>CALCULATING</subject><subject>CHECKING-DEVICES</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>GENERATING RANDOM NUMBERS</subject><subject>PHYSICS</subject><subject>REGISTERING OR INDICATING THE WORKING OF MACHINES</subject><subject>TIME OR ATTENDANCE REGISTERS</subject><subject>VOTING OR LOTTERY APPARATUS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyjEKwkAQQNE0FqLeYS6QwriI7TDMxoHNrO5OilQhyFqJBuL9EcQDWH0e_HV1xd6ixi72GTIHXwfGpKItYDLxQoIBRI1DkJaV-As1yEM27sDHBEjEOQNFtRTDtlrdp8dSdr9uKvBsdK7L_BrLMk-38izvkS-ucSfXHHF_-GP5AH_8L1k</recordid><startdate>20230927</startdate><enddate>20230927</enddate><creator>RUSSO, Pietro</creator><creator>WILSON, Ron</creator><creator>LIPCHIN, Aleksey</creator><creator>MALAKUTI, Kaveh</creator><scope>EVB</scope></search><sort><creationdate>20230927</creationdate><title>AUTONOMOUS SELF-LEARNING ARTIFICIAL INTELLIGENCE INTENT SYSTEM FOR ACCESS CONTROL</title><author>RUSSO, Pietro ; WILSON, Ron ; LIPCHIN, Aleksey ; MALAKUTI, Kaveh</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_EP4248426A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre ; ger</language><creationdate>2023</creationdate><topic>ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDEDFOR ELSEWHERE</topic><topic>CALCULATING</topic><topic>CHECKING-DEVICES</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>GENERATING RANDOM NUMBERS</topic><topic>PHYSICS</topic><topic>REGISTERING OR INDICATING THE WORKING OF MACHINES</topic><topic>TIME OR ATTENDANCE REGISTERS</topic><topic>VOTING OR LOTTERY APPARATUS</topic><toplevel>online_resources</toplevel><creatorcontrib>RUSSO, Pietro</creatorcontrib><creatorcontrib>WILSON, Ron</creatorcontrib><creatorcontrib>LIPCHIN, Aleksey</creatorcontrib><creatorcontrib>MALAKUTI, Kaveh</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>RUSSO, Pietro</au><au>WILSON, Ron</au><au>LIPCHIN, Aleksey</au><au>MALAKUTI, Kaveh</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>AUTONOMOUS SELF-LEARNING ARTIFICIAL INTELLIGENCE INTENT SYSTEM FOR ACCESS CONTROL</title><date>2023-09-27</date><risdate>2023</risdate><abstract>One embodiment provides an access control system including access control sensors to detect actions performed in a vicinity of an access point, a verification sensor to verify access of the access point, and an electronic processor communicatively coupled to the access control sensors and the verification sensor. The electronic processor is configured to in response to an access intent model satisfying an accuracy condition, deploy the access intent model for the access point and receive a dataset indicating an action performed in the vicinity of the access point. The electronic processor is also configured to predict an access intent to access the access point by applying the access intent model to the dataset and enable access through the access point. The electronic processor is further configured to receive verification data indicating whether the access point is accessed, and automatically assign a label to the dataset based on the verification data.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDEDFOR ELSEWHERE CALCULATING CHECKING-DEVICES COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING GENERATING RANDOM NUMBERS PHYSICS REGISTERING OR INDICATING THE WORKING OF MACHINES TIME OR ATTENDANCE REGISTERS VOTING OR LOTTERY APPARATUS |
title | AUTONOMOUS SELF-LEARNING ARTIFICIAL INTELLIGENCE INTENT SYSTEM FOR ACCESS CONTROL |
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