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公开(公告)号:US11501422B2
公开(公告)日:2022-11-15
申请号:US17183967
申请日:2021-02-24
申请人: NEC CORPORATION
发明人: Teruyuki Higuchi , Yoshinori Koda
摘要: A fingerprint capture system, a fingerprint capture device, an image processing apparatus, a fingerprint capture method, and a storage medium that can acquire a high quality fingerprint image are provided. A disclosed example includes: a capture unit that captures a fingerprint; an image processing unit that processes a transferred fingerprint image captured by the capture unit; a display unit on which the fingerprint image transferred to the image processing unit is displayed; a recording unit where the fingerprint image transferred to the image processing unit is recorded by the image processing unit; and an instruction unit that inputs, in the image processing unit, a record instruction that instructs the image processing unit to record the fingerprint image in the recording unit. The image processing unit records, in the recording unit, the fingerprint image displayed on the display unit at the time the record instruction is input by the instruction unit.
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公开(公告)号:US12094236B2
公开(公告)日:2024-09-17
申请号:US17038528
申请日:2020-09-30
申请人: Axis AB
IPC分类号: G06V10/80 , G06F18/214 , G06F18/22 , G06N3/045 , G06T5/50 , G06V10/44 , G06V10/764 , G06V10/82 , G06V20/52 , G06V40/00 , G06V40/10 , G06V40/20
CPC分类号: G06V40/107 , G06F18/214 , G06F18/22 , G06N3/045 , G06T5/50 , G06V10/44 , G06V10/764 , G06V10/82 , G06V20/52 , G06V40/23
摘要: A method of object re-identification in images of objects comprises providing a plurality of neural networks for object re-identification, wherein each of the plurality of neural networks is trained on image data with different sets of anatomical features, each set being represented by a reference vector; receiving a plurality of images of objects and an input vector representing anatomical features that are depicted in all of the plurality of images; comparing the input vector with the reference vectors for determining, according to a predefined condition, the most similar reference vector; and inputting image data of the plurality of objects to the neural network represented by the most similar reference vector for determining whether the plurality of objects have the same identity.
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公开(公告)号:US12073697B2
公开(公告)日:2024-08-27
申请号:US17766846
申请日:2020-09-02
申请人: NEC Corporation
发明人: Hui Lam Ong , Hong Yen Ong , Xinlai Jiang , Satoshi Yamazaki
IPC分类号: G06V40/00 , G08B13/196
CPC分类号: G08B13/19602 , G06V40/00 , G08B13/19697
摘要: Present disclosure provides a method for managing an event to generate an alert indicating a subject is likely to be unauthorized, the event comprising data identifying the subject, the method comprising: within a pre-determined period based on a timestamp at which the event is stored in a cache, detecting a recall event comprising the data identifying the subject, the recall event indicating the subject is not likely to be unauthorized; and removing the event from the cache in response to detecting the recall event comprising the data identifying the subject within the pre-determined period.
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公开(公告)号:US12026577B2
公开(公告)日:2024-07-02
申请号:US18306957
申请日:2023-04-25
申请人: Mitek Systems, Inc.
发明人: Ashok Singal , Michael Ramsbacker , James Treitler , Sanjay Gupta , Michael Hagen , Jason L. Gray
CPC分类号: G06K7/10386 , G06K7/10009 , G06Q10/10 , G06Q50/00 , G06V40/00
摘要: Systems and methods for user identification (ID) document verification are provided. An exemplary method includes receiving, by a client device, an image of an ID document. Based on the image of the ID document, a determination is made whether the ID document includes a near-field communications (NFC) chip that stores an ID photo associated with the ID document. Based on this determination of whether the ID document includes an NFC chip, the ID document is verified by selectively using at least one of NFC chip authentication and optical authentication, to obtain a verification result.
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公开(公告)号:US11948175B2
公开(公告)日:2024-04-02
申请号:US16868716
申请日:2020-05-07
发明人: Daniel J. Serna
CPC分类号: G06Q30/0281 , G06Q10/04 , G06V40/174 , G06V40/00
摘要: A system for determining a likelihood that a pre-determined customer will enter a selected customer support center (CSC) is provided. The system includes a customer-tracking system for determining whether the customer is within a predetermined distance of the CSC. The tracking system is set to a tracking state in response to receiving a customer tracking opt-in selection. The system also includes a biometric monitoring system that monitors, using an electronic device in close proximity to the customer, when the customer is determined to be within the pre-determined distance of the CSC. The biometric monitoring system monitors the customer's biometric functions to determine the likelihood of the customer entering the CSC. When a determination of the likelihood of the customer physically entering the CSC is higher than a threshold level, the system may provide the likelihood, as further influenced by the customer sentiment condition, of the customer entering the CSC.
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36.
公开(公告)号:US11922724B2
公开(公告)日:2024-03-05
申请号:US17598453
申请日:2020-10-12
发明人: Chin-Wei Yang
IPC分类号: G06V40/00 , G06T7/73 , G06V10/771 , G06V40/16
CPC分类号: G06V40/172 , G06T7/73 , G06V10/771 , G06V40/161
摘要: A device and a method and a non-transitory readable storage medium, for face recognition are provided, the method comprise: extracting a face sample image from a predetermined face sample library and performing feature point detection to obtain multiple face feature points; obtaining multiple mask images; selecting first to fourth face feature points from the multiple face feature points; defining a distance between the first and second face feature point as a mask image height, and defining a distance between the third and fourth face feature point as a mask image width; adjusting a size of each mask image according to the mask image height and the mask image width; fusing each adjusted mask image with the face sample image to obtain multiple face mask images to save into the predetermined face sample library; training a face recognition model based on the predetermined face sample library for face recognition.
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公开(公告)号:US11844609B2
公开(公告)日:2023-12-19
申请号:US17960215
申请日:2022-10-05
申请人: NEC Corporation
发明人: Teruyuki Higuchi , Yoshinori Koda
CPC分类号: A61B5/1172 , A61B5/7221 , G06T1/00 , G06T7/0002 , G06V40/13 , H04N23/53 , A61B2503/04 , A61B2503/06 , A61B2576/02 , G06T2207/30168
摘要: A fingerprint capture system, a fingerprint capture device, an image processing apparatus, a fingerprint capture method, and a storage medium that can acquire a high quality fingerprint image are provided. A disclosed example includes: a capture unit that captures a fingerprint; an image processing unit that processes a transferred fingerprint image captured by the capture unit; a display unit on which the fingerprint image transferred to the image processing unit is displayed; a recording unit where the fingerprint image transferred to the image processing unit is recorded by the image processing unit; and an instruction unit that inputs, in the image processing unit, a record instruction that instructs the image processing unit to record the fingerprint image in the recording unit. The image processing unit records, in the recording unit, the fingerprint image displayed on the display unit at the time the record instruction is input by the instruction unit.
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公开(公告)号:US11776312B2
公开(公告)日:2023-10-03
申请号:US17680875
申请日:2022-02-25
申请人: NEC Corporation
发明人: Shoji Yachida
CPC分类号: G06V40/171 , G06V10/50 , G06V10/803 , G06V40/166 , G06V40/19 , G06V40/193
摘要: An image processing device according to one aspect of the present disclosure includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: receive a visible image of a face; receive a near-infrared image of the face; adjust brightness of the visible image based on a frequency distribution of pixel values of the visible image and a frequency distribution of pixel values of the near-infrared image; specify a relative position at which the visible image is related to the near-infrared image; invert adjusted brightness of the visible image; detect a region of a pupil from a synthetic image obtained by adding up the visible image the brightness of which is inverted and the near-infrared image based on the relative position; and output information on the detected pupil.
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39.
公开(公告)号:US11681883B2
公开(公告)日:2023-06-20
申请号:US17954251
申请日:2022-09-27
申请人: Mitek Systems, Inc.
发明人: Ashok Singal , Michael Ramsbacker , James Treitler , Sanjay Gupta , Michael Hagen , Jason L. Gray
CPC分类号: G06K7/10386 , G06K7/10009 , G06Q10/10 , G06Q50/00 , G06V40/00
摘要: Systems and methods for identification (ID) document verification using hybrid near-field communications (NFC) authentication and optical authentication are provided. An exemplary method includes receiving, by a client device, an image of an ID document. Based on the image of the ID document, a determination is made whether the ID document includes a near-field communications (NFC) chip that stores data comprising identifying information for an owner of the identification. Based on this determination of whether the ID document includes an NFC chip, the ID document is verified by selectively using at least one of NFC chip authentication and optical authentication, to obtain a verification result.
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公开(公告)号:US20230169349A1
公开(公告)日:2023-06-01
申请号:US18102161
申请日:2023-01-27
发明人: Victor Sergeevich LEMPITSKY , Aliaksandra Petrovna SHYSHEYA , Egor Olegovich ZAKHAROV , Egor Andreevich BURKOV
IPC分类号: G06N3/088 , G06N3/08 , G06V20/40 , G06V40/16 , G06F16/70 , G06V40/00 , G06V10/764 , G06V10/774 , G06V10/82 , G06V40/20
CPC分类号: G06N3/088 , G06N3/08 , G06V20/46 , G06V20/41 , G06V40/172 , G06F16/70 , G06V40/00 , G06V40/168 , G06V40/169 , G06V40/179 , G06V10/764 , G06V10/7753 , G06V10/82 , G06V40/20 , G06T2207/10016 , G06T2207/20081 , G06T2207/20084 , G06T2207/30201
摘要: An electronic device and a controlling method thereof are provided. A controlling method of an electronic device according to the disclosure includes: performing first learning for a neural network model for acquiring a video sequence including a talking head of a random user based on a plurality of learning video sequences including talking heads of a plurality of users, performing second learning for fine-tuning the neural network model based on at least one image including a talking head of a first user different from the plurality of users and first landmark information included in the at least one image, and acquiring a first video sequence including the talking head of the first user based on the at least one image and pre-stored second landmark information using the neural network model for which the first learning and the second learning were performed.
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