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公开(公告)号:US12026870B2
公开(公告)日:2024-07-02
申请号:US17432982
申请日:2019-02-27
Applicant: NEC Corporation
Inventor: Takashi Shibata , Toru Takahashi , Rui Ishiyama , Keiko Inoue , Kota Iwamoto , Hiroyoshi Miyano , Emi Kitagawa , Yasuhiko Yoshida
IPC: G06T7/00
CPC classification number: G06T7/001 , G06T2207/30108 , G06T2207/30196
Abstract: A manufacturing management device 100 includes an acquisition unit 121 that acquires unique information of a product from a captured image of the product captured in a manufacturing step included in a manufacturing process of the product, and acquires operation information representing an operation of a person who performs a manufacturing work on the product in the manufacturing step, and an association unit 122 that sores the acquired unique information of the product and the acquired operation information in association with each other.
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公开(公告)号:US12014578B2
公开(公告)日:2024-06-18
申请号:US17681995
申请日:2022-02-28
Applicant: NEC Corporation
Inventor: Takashi Shibata , Shoji Yachida , Chisato Funayama , Masato Tsukada , Yuka Ogino , Keiichi Chono , Emi Kitagawa , Yasuhiko Yoshida , Yusuke Mori
CPC classification number: G06V40/70 , G06V20/52 , G06V40/103 , G06V40/171 , G06V40/19 , G06V40/197 , G06V2201/07
Abstract: The disclosure is detecting an authentication target who is moving in a predetermined direction in a video; inputting a first image in which an entire body of the target; calculating characteristic information from an image of the entire body in the first image, comparing the calculated characteristic information with characteristic information of the entire body stored in first memory that stores characteristic information of entire bodies of targets, and extracting candidate information of the targets from the first memory based on a first authentication result; inputting a second image in which an iris of the target; and comparing characteristic information of irises stored in second memory that stores the characteristic information of the irises of targets with characteristic information of an iris from the second image, calculating a verification score, executing second authentication on the target in the second image based on the verification score, and outputting an authentication result.
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公开(公告)号:US12014573B2
公开(公告)日:2024-06-18
申请号:US17312094
申请日:2018-12-14
Applicant: NEC Corporation
Inventor: Masato Tsukada , Chisato Funayama , Yuka Ogino , Hiroshi Imai , Keiichi Chono , Emi Kitagawa , Yasuhiko Yoshida , Hiroshi Yamada , Takashi Shibata , Shoji Yachida , Ryuichi Akashi
CPC classification number: G06V40/18 , G06F21/32 , G06V10/143 , G06V10/56 , G06V40/19 , G06V40/193 , G06V40/40
Abstract: In order to determine whether a color contact lens is being worn on an iris, this image processing device includes: a first feature amount calculation means for using an image of the iris in a first wavelength band to calculate a first feature amount in the first wavelength band, said iris being used in authentication of a person; a second feature amount calculation means for using an image of the iris in a second wavelength band to calculate a second feature amount in the second wavelength band; and a covering determination means for determining, on the basis of the first feature amount and the second feature amount, whether a color contact lens is present on the iris.
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公开(公告)号:US11978282B2
公开(公告)日:2024-05-07
申请号:US17967004
申请日:2022-10-17
Applicant: NEC Corporation
Inventor: Keiichi Chono , Masato Tsukada , Chisato Funayama , Ryuichi Akashi , Yuka Ogino , Takashi Shibata , Shoji Yachida , Hiroshi Imai , Emi Kitagawa , Yasuhiko Yoshida , Yusuke Mori
IPC: G06V40/18 , G06V10/147 , G06V10/20 , G06V40/19 , G06V10/62
CPC classification number: G06V40/19 , G06V10/147 , G06V10/255 , G06V40/197 , G06V10/62
Abstract: An authentication system 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: track an object included in a video captured by a first capture device; detect a candidate for biometric authentication in the object being tracked; determine whether biometric authentication has been performed for the candidate based on a record of biometric authentication performed for the object being tracked; and perform the biometric authentication for the candidate based on a video of an authentication part of the candidate when the biometric authentication has not been performed for the candidate, the video of the authentication part being captured by a second capture device having a capture range including a part of a capture range of the first capture device.
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65.
公开(公告)号:US11922677B2
公开(公告)日:2024-03-05
申请号:US17442757
申请日:2019-03-27
Applicant: NEC Corporation
Inventor: Hiroyoshi Miyano , Masato Toda , Azusa Sawada , Takashi Shibata
IPC: G06V10/774 , G06N5/04 , G06V10/70
CPC classification number: G06V10/774 , G06N5/04 , G06V10/87
Abstract: An information processing apparatus (10) according to the present disclosure includes: an object recognition unit (11) that outputs, by using a first modal signal and a first modal recognition model corresponding to the first modal signal, an inference result regarding the first modal signal; a training data processing unit (12) that generates first modal training data regarding the first modal signal by using the inference result, and updates second modal training data regarding a second modal signal that is different from the first modal signal by using the first modal training data; and a recognition model update unit (13) that updates a second modal recognition model corresponding to the second modal signal by using the second modal training data.
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公开(公告)号:US11816927B2
公开(公告)日:2023-11-14
申请号:US17278381
申请日:2019-09-18
Applicant: NEC Corporation
Inventor: Keiichi Chono , Masato Tsukada , Chisato Funayama , Ryuichi Akashi , Yuka Ogino , Takashi Shibata , Shoji Yachida , Hiroshi Imai , Emi Kitagawa , Yasuhiko Yoshida , Yusuke Mori
Abstract: An information providing 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 face image; determine whether a person in the face image is unsuitable for iris data acquisition based on the face image; and output information based on determining that the person is unsuitable for the iris data acquisition when the person is determined to be unsuitable for the iris data acquisition.
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公开(公告)号:US11501522B2
公开(公告)日:2022-11-15
申请号:US16765742
申请日:2018-12-03
Applicant: NEC CORPORATION
Inventor: Takashi Shibata
Abstract: In order to improve the learning performance of a neural network model, this image recognition model generating device is provided with an input image patch determining unit, a similar patch searching unit, a pixel value generating unit, and a convolution processing unit. The input image patch determining unit determines an input image patch containing a border region in contact with the outside of a boundary line of an input image. The similar patch searching unit searches for a similar patch that is similar to the input image patch. The pixel value generating unit generates a pixel value complementing the border region, on the basis of the similar patch. The convolution processing unit performs a convolution process from the generated pixel value and pixel values of the input image.
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公开(公告)号:US20220343631A1
公开(公告)日:2022-10-27
申请号:US17760826
申请日:2019-09-25
Applicant: NEC Corporation
Inventor: Shigeaki Namiki , Shoji Yachida , Takashi Shibata
IPC: G06V10/764 , G06V10/771 , G06V10/74
Abstract: The learning apparatus classifies target domain data into (N-c) classes based on unique features of the target domain data, classifies source domain data into N classes based on unique features of the source domain data, and classifies the target domain data and the source domain data into the N classes based on common features of the target domain data and the source domain data. Also, the learning apparatus calculates a first distance between the common features of the target domain data and the source domain data, and calculates a second distance between the unique features of the target domain data and the source domain data. Next, the learning apparatus updates parameters of a common feature extraction unit based on the first distance, and updates parameters of a target domain feature extraction unit and a source domain feature extraction unit based on the second distance.
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69.
公开(公告)号:US11455372B2
公开(公告)日:2022-09-27
申请号:US16607916
申请日:2017-04-27
Applicant: NEC Corporation
Inventor: Gaku Nakano , Takashi Shibata
Abstract: A parameter estimation apparatus 10 is an apparatus for calculating a threshold for separating a plurality of data points into outliers and inliers and estimating a parameter fitting the inliers. The parameter estimation apparatus 10 includes: a parameter estimation unit 13 configured to estimate the parameter by using the plurality of data points as input; a threshold setting unit 14 configured to calculate the threshold based on statistical information of residuals of the data points; and a convergence determination unit 15 configured to determine whether or not convergence of the estimation of the parameter is reached based on the estimated parameter and the calculated threshold, and to cause the parameter estimation unit 13 and the threshold setting unit 14 to each execute processing again if the convergence determination unit 15 determines that convergence is not reached.
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公开(公告)号:US20220189206A1
公开(公告)日:2022-06-16
申请号:US17684802
申请日:2022-03-02
Applicant: NEC Corporation
Inventor: Takashi Shibata , Shoji Yachida , Chisato Funayama , Masato Tsukada , Yuka Ogino , Keiichi Chono , Emi Kitagawa , Yasuhiko Yoshida , Yusuke Mori
Abstract: The disclosure is inputting a first image captured an image of an authentication target; inputting a second image captured an image of a right eye or a left eye of the target; determining whether the second image is of a left eye or a right eye of the target based on information including the first image, and outputting a determination result as left/right information in association with the second image; detecting an overlap between a region including the second image and a predetermined region in the first image; calculating a verification score by comparing characteristic information that are related to the left/right information with iris characteristic information calculated from the second image, and calculating a first weighted verification score obtained by weighting the verification score with a detection result; and authenticating a target in the second image based on the first weighted verification score, and outputting an authentication result.
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