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公开(公告)号:US20210133424A1
公开(公告)日:2021-05-06
申请号:US16743456
申请日:2020-01-15
Applicant: LG Electronics Inc.
Inventor: Young Ho SOHN , Young Yeon SEO , Chang Jun YEO , Jin Seok YANG
Abstract: A method for biometrics spoofing detection according to an embodiment of the present disclosure includes receiving a biometric authentication request from an application, acquiring biometrics at a sensor, and applying a machine learning-based anti-spoofing scheme to the biometrics based on an authentication purpose of the biometrics. The anti-spoofing scheme for biometrics of the present disclosure may include a deep neural network generated by machine learning, and may be used in an Internet of Things environment using a 5G network.
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公开(公告)号:US20210104021A1
公开(公告)日:2021-04-08
申请号:US16742257
申请日:2020-01-14
Applicant: LG ELECTRONICS INC.
Inventor: Young Ho SOHN , Young Yeon SEO , Chang Jun YEO
Abstract: Disclosed are an image noise processing method and apparatus. The image noise processing method includes inputting a target image including a low light level noise, estimating a noise level, and a selective processing of the target image by a denoising sub-network corresponding to the noise level. According to the present disclosure, it is possible to selectively apply a denoising neural network through a 5G network on the basis of an estimation of a noise level.
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公开(公告)号:US20200034848A1
公开(公告)日:2020-01-30
申请号:US16590025
申请日:2019-10-01
Applicant: LG ELECTRONICS INC.
Inventor: Young Yeon SEO , Young Ho SOHN , Chang Jun YEO
Abstract: A drive-through order processing method and apparatus are disclosed. The drive-through order processing method includes receiving customer information detected through vision recognition, providing product information based on the customer information, and processing a product order of a customer. According to the present disclosure, it is possible to rapidly process an order using customer information based on customer recognition using an artificial intelligence (AI) model of machine learning through a 5G network.
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