公开(公告)号：US12100715B2

公开(公告)日：2024-09-24

申请号：US17158664

申请日：2021-01-26

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Huajun Cao ,  Guozhong Ma ,  Yukun Guo ,  Yong Lu

IPC: H01L27/12 ,  H01L23/10 ,  H01Q1/38 ,  H01Q21/00 ,  G02F1/1368 ,  H01L25/16 ,  H10K59/12

CPC classification number: H01L27/1255 ,  H01L23/10 ,  H01Q21/00 ,  G02F1/1368 ,  H01L25/167 ,  H10K59/12

Abstract: Example array substrates are provided. One example array substrate includes an underlying substrate, an antenna and a component layer, where the antenna and the component layer are located on a same side of the underlying substrate, where the component layer and the antenna are disposed at intervals, where the component layer includes a plurality of metal laminates and a plurality of dielectric laminates that are stacked, and where the plurality of metal laminates and the plurality of dielectric laminates are alternately disposed to form a plurality of thin film transistors.

公开(公告)号：US10825447B2

公开(公告)日：2020-11-03

申请号：US16313044

申请日：2017-06-21

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Xiyong Wang ,  Hongrui Jiang ,  Huajun Cao

IPC: G10L15/06 ,  G10L15/065 ,  G06K9/03 ,  G06K9/62 ,  G10L15/14 ,  G10L15/16 ,  G10L15/30

Abstract: Embodiments of the present invention relate to a method and an apparatus for optimizing a model applicable to pattern recognition, and a terminal device. The terminal device receives a universal model delivered by a server, where the universal model includes an original feature parameter; recognizes target information by using the universal model, and collects a plurality of local samples; when a model optimization condition is met, corrects the original feature parameter by using a first training algorithm to obtain a new feature parameter; and optimizes the universal model according to a second training algorithm and the new feature parameter, to obtain an optimized universal model. That is, in the present invention, the terminal device further optimizes, according to the collected local samples, the universal model received from the server to obtain a relatively personalized model applicable to pattern recognition.

公开(公告)号：US10997394B2

公开(公告)日：2021-05-04

申请号：US16852573

申请日：2020-04-20

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Huajun Cao ,  Liang Yuan ,  Hongrui Jiang

IPC: G06K9/00

Abstract: A terminal display scanning method for optical fingerprint recognition is provided, the method includes: if a start operation on a terminal screen is detected, obtaining a first vector set, where the first vector set includes A data vectors that are mutually orthogonal or mutually quasi-orthogonal, each of the data vectors includes a plurality of data elements, and A is an integer greater than 1; sequentially using the data elements in each of the data vectors to control light emitting of minimum pixel units in a fingerprint recognition area until controlling light emitting of all the minimum pixel units in the fingerprint recognition area is completed, to obtain a second vector set corresponding to the fingerprint recognition area, where the second vector set carries fingerprint information; and demodulating the second vector set by using the first vector set to obtain all fingerprint information in the fingerprint recognition area.

公开(公告)号：US20200250391A1

公开(公告)日：2020-08-06

申请号：US16852573

申请日：2020-04-20

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Huajun Cao ,  Liang Yuan ,  Hongrui Jiang

IPC: G06K9/00

Abstract: A terminal display scanning method for optical fingerprint recognition is provided, the method includes: if a start operation on a terminal screen is detected, obtaining a first vector set, where the first vector set includes A data vectors that are mutually orthogonal or mutually quasi-orthogonal, each of the data vectors includes a plurality of data elements, and A is an integer greater than 1; sequentially using the data elements in each of the data vectors to control light emitting of minimum pixel units in a fingerprint recognition area until controlling light emitting of all the minimum pixel units in the fingerprint recognition area is completed, to obtain a second vector set corresponding to the fingerprint recognition area, where the second vector set carries fingerprint information; and demodulating the second vector set by using the first vector set to obtain all fingerprint information in the fingerprint recognition area.