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Patent Agency Ranking
公开(公告)号：US10515199B2
公开(公告)日：2019-12-24
申请号：US15491296
申请日：2017-04-19
Applicant: QUALCOMM Incorporated
Inventor： Ramin Samadani , Hui Chao , Ayman Naguib
Abstract: A method performed by an electronic device is described. The method includes receiving a set of image frames. The set of image frames includes a face. The method also includes determining at least one facial motion of the face based on the set of image frames. The method further includes determining, based on the at least one facial motion, a facial rigidity confidence value indicating a degree of confidence that the face is rigid. The method additionally includes determining at least one facial micro-motion of the face based on the set of image frames. The method also includes determining a micro-motion matching confidence value indicating a degree of matching between the at least one facial micro-motion and a micro-motion profile. The method further includes authenticating a user based on the facial rigidity confidence value and the micro-motion matching confidence value.
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公开(公告)号：US20170234966A1
公开(公告)日：2017-08-17
申请号：US15283247
申请日：2016-09-30
Applicant: QUALCOMM Incorporated
Inventor： Ayman Naguib , Michael Taveira , Nayeem Islam
CPC classification number: G01S5/22 , G01S5/0263 , G01S5/30 , G01S13/86
Abstract: Apparatuses and methods are described herein for identifying an Unmanned Aerial Vehicle (UAV) by a central server connected to a first detection device and a plurality of detection devices, including, but not limited to, receiving, by the central server, information related to the UAV from the first detection device, selecting, by the central server, a second detection device from a plurality of detection devices connected to the central server, and sending, by the central server, the information to the second detection device.
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公开(公告)号：US20170234724A1
公开(公告)日：2017-08-17
申请号：US15046390
申请日：2016-02-17
Applicant: QUALCOMM Incorporated
Inventor： Ayman Naguib , Nayeem Islam
Abstract: Apparatuses and methods are described herein for identifying a Unmanned Aerial Vehicle (UAV), including, but not limited to, determining a first maneuver type, determining a first acoustic signature of sound captured by a plurality of audio sensors while the UAV performs the first maneuver type, determining a second acoustic signature of sound captured by the plurality of audio sensors while the UAV performs a second maneuver type different from the first maneuver type, determining an acoustic signature delta based on the first acoustic signature and the second acoustic signature, and determining an identity of the UAV based on the acoustic signature delta.
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公开(公告)号：US20180307815A1
公开(公告)日：2018-10-25
申请号：US15491296
申请日：2017-04-19
Applicant: QUALCOMM Incorporated
Inventor： Ramin Samadani , Hui Chao , Ayman Naguib
CPC classification number: G06F21/32 , G06K9/00261 , G06K9/00281 , G06K9/00315 , G06K9/00906 , H04N5/232 , H04N5/23219 , H04N5/23293
Abstract: A method performed by an electronic device is described. The method includes receiving a set of image frames. The set of image frames includes a face. The method also includes determining at least one facial motion of the face based on the set of image frames. The method further includes determining, based on the at least one facial motion, a facial rigidity confidence value indicating a degree of confidence that the face is rigid. The method additionally includes determining at least one facial micro-motion of the face based on the set of image frames. The method also includes determining a micro-motion matching confidence value indicating a degree of matching between the at least one facial micro-motion and a micro-motion profile. The method further includes authenticating a user based on the facial rigidity confidence value and the micro-motion matching confidence value.
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公开(公告)号：US10101196B2
公开(公告)日：2018-10-16
申请号：US15046390
申请日：2016-02-17
Applicant: QUALCOMM Incorporated
Inventor： Ayman Naguib , Nayeem Islam
Abstract: Apparatuses and methods are described herein for identifying a Unmanned Aerial Vehicle (UAV), including, but not limited to, determining a first maneuver type, determining a first acoustic signature of sound captured by a plurality of audio sensors while the UAV performs the first maneuver type, determining a second acoustic signature of sound captured by the plurality of audio sensors while the UAV performs a second maneuver type different from the first maneuver type, determining an acoustic signature delta based on the first acoustic signature and the second acoustic signature, and determining an identity of the UAV based on the acoustic signature delta.
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