Yunding Network Technology (beijing) Co., Ltd.

Boe Technology Group Co., Ltd.

Tencent Technology (shenzhen) Company Limited

Beijing Boe Technology Development Co., Ltd.

Nvidia Corporation

Hkc Corporation Limited

Beijing Goldwind Science & Creation Windpower Equipment Co., Ltd.

Beijing Research Institute of Chemical Industry, China Petroleum & Chemical Corporation

Tinavi Medical Technologies Co., Ltd.

Dongfang Electric Corporation

China Petrochemical & Chemical Corporation

Huawei Technologies Co., Limited

China Petroleum & Chemical Corporation

Tencent Technology Company Limited

Hao Tang

Quanguo Zhou

Lei Guan

Zhidong Wang

Bo Hu

Kai Zhang

Ying Huang

Xi Wang

Tao Li

Wei Li

Qing Zhang

Junrui Zhang

Mancheng Zhou

Wei Zhang

Li Wang

Yong Qiao

Yuanjie Li

Xinghua Song

Fan Wang

Haijiang Yuan

Jing Liu

Wei Chen

Zhe Liu

William Herz

Baohong Kang

Hui Zhang

Fan Li

Javad Abdoli

Meng Hua

Chi Zhang

Shengyue Dou

Peng Zhang

David Jean-Marie Mazzarese

Zhengwei Gong

Jinlin Peng

Yang Li

Xin Zeng

Hao Wang

Junchao Li

Shurong Jiao

Ning Ma

Guohua Zhou

Yongzhao Cao

Jie Zhou

Jiehua Xiao

Xinxian Li

Xing Li

Yang Gao

Dongdong Wei

Lijia Zhou

Cheng Feng

Yi Chen

Jinliang Qiao

Jing Zhao

Hongbo Feng

Quanzhong Gao

Pengpeng Dong

Yafei Wang

Zhou Xu

Ning Wu

Ming Wu

Hua Li

Jiuyang Cheng

Tingyong Tang

Yulei Liu

Ronghua Lan

Huijiao Yang

Ruiyi Zhou

Xin Qing

Lifeng Liu

Yubo Yang

Mengying Ding

Lei Zheng

Zhenfei Tang

Xu Zhang

Zhipei Wang

Wenfeng Li

Meng Guo

Xuehui Zhu

Miao Zhang

Guoliang Li

Shijun Zhang

Wenwen Huang

Yueying Zhao

Liwen Zhang

Bosen He

Lirong Xu

Shuang Hong Wang

Zhihui Yang

Sha Mo

Ting Wang

Xiaojun Ma

Qi Yi

Wenbo Song

Jin Xu

Zhongfeng Li

Yi Zhang

A curved substrate bubble detection method includes: providing, by a first light source and a second light source, parallel light incident to a to-be-tested substrate in different incident directions; obtaining, by a linear array camera, a first image including image information of a first side edge of the to-be-tested substrate; determining location information of a defect region of the to-be-tested substrate according to the first image, and generating a second image including image information of the defect region; binarizing the second image, and determining that the to-be-tested substrate has a bubble defect if there are at least two bright spots in an obtained binarized image, and a distance between any two first bright spots of at least two first bright spots is less than a first preset value. A curved substrate bubble detection system is also disclosed.

Curved substrate bubble detection method and detection system

In the technical field of display devices, there is a problem of low efficiency in image appearance inspection during the processing process of a display panel. In view of this, provided is an image acquisition system, comprising: a control device, an object loading device and an image acquisition apparatus. The control device is used for obtaining a target value of displacement between the object loading apparatus and the image acquisition apparatus according to an image signal, generating a control command, which carries the target displacement value, and then sending the control command to at least one of the object loading device and the image acquisition apparatus; and at least one of the object loading apparatus and the image acquisition apparatus moves according to the control command, until the definition of the image signal received by the control device in real time is greater than a preset definition threshold value.

Image acquisition system and method, and display panel processing device

The present application provides a total knee arthroplasty robot auxiliary system, a control method, electronic device and a computer readable medium. The auxiliary system comprises: a preoperative planning system configured to formulate a preoperative plan, preoperative plan data including a knee joint image; an intraoperative planning system configured to formulate an intraoperative plan, wherein the knee joint image in the preoperative plan and a knee joint surface contour of the patient determined in an operation are subjected to image registration, knee joint dynamic spacing force line data at a continuous flexion-extension angle is acquired, a dynamic spacing force line data graph is visually displayed, and a prosthesis plan is adjusted according to the visual display of the dynamic spacing force line data graph to obtain the intraoperative plan; and an executing system, wherein a bone-cutting guide mounted at an operating end of a mechanical arm of a surgical robot is guided to be located in a planned predetermined position according to the intraoperative plan, and the bone-cutting guide is configured to locate a bone-cutting saw.

Total knee arthroplasty robot auxiliary system, control method and electronic device

An optical lens includes: a first region, including a first incident surface and a first emergent surface that face each other, wherein the first incident surface is for, when a display panel is detected, receiving a first light ray from a plane region, and the first light ray exits from the first emergent surface after passing through the first region; a second region, connected to the first region, including a second incident surface and a second emergent surface that face each other, wherein the second incident surface is for, when the display panel is detected, receiving a second light ray that is from a curved-surface region and propagates in a first direction, and the second light ray exits from the second emergent surface in a second direction after passing through the second region; and the first emergent surface and the second emergent surface are located in a same plane.

Optical lens and optical detection device

The present disclosure relates to a method and system for controlling a smart device. The method includes obtaining correlating information of the smart device. The correlating information includes at least one of smart device information or a communication status of the smart device. The method includes determining indication information of the smart device by processing the correlating information of the smart device according to a preset algorithm. The method includes performing designated operations related to the smart device based at least in part on the indication information.

Methods and systems for controlling an intelligent device

A method for classifying an image of a displaying base plate includes: acquiring an image to be checked; from a first predetermined-type set, determining a type of the image to be checked. The first predetermined-type set includes: a first image type, a second image type and a third image type. An image of the first image type is a no-defect image, an image of the second image type is a blurred image, and an image of the third image type is a defect image. When the type of the image to be checked is the third image type, by using a first convolutional neural network, determining a defect data of the image to be checked, wherein the defect image refers to an image of a displaying base plate having a defect, and the defect data contains a defect type of the displaying base plate in the image to be checked.

Method and apparatus for classifying image of displaying base plate

The present disclosure provides a smart door lock and a method for controlling the smart door lock. The method may be implemented on a computing apparatus including a processor and a storage device. The method may include obtaining user information and determining whether the user information passes a verification. The method may further include in response to a determination that the user information passes the verification, controlling the smart door lock to perform an unlock operation. The method may further include determining whether the door on which the smart door lock is installed has a preset action within a preset time period and in response to a determination that the door has the preset action within the preset time period, controlling at least one component of the smart door lock to perform at least one operation.

Smart lock and method for automatically locking smart lock

A method for detecting a display panel defect, including: collecting a panel image of a to-be-detected display panel, a plurality of first pixels of the display panel corresponding to a plurality of second pixels in the panel image; converting the panel image into a binary image; dilating each bright spot region in the binary image such that adjacent bright spot regions communicate with each other to form at least one closed communication region in the binary image; determining a region of interest mask image in the binary image in accordance with the at least one closed communication region; determining a region of interest in accordance with the region of interest mask image and the panel image; and performing feature identification on the region of interest to determine a defect of the display panel.

Method and device for detecting display panel defect

An anti-glare apparatus includes a lens assembly having an incident side, the lens assembly including a layer of liquid crystal molecules, a first driving electrode and a second driving electrode respectively on both sides of the layer of the liquid crystal molecules, the first driving electrode or the second driving electrode including a plurality of sub-electrodes; a reflective layer on a side of the lens assembly opposite from the incident side; a camera, configured to acquire a human eye's position and acquire an intensity signal of incident light irradiating the incident side of the lens assembly; and a controller electrically connected to the first driving electrode, the second driving electrode, and the camera; where the controller is configured to adjust driving voltages of the sub-electrode based on the intensity signal of the incident light acquire by the camera to change the optical axis direction of the lens assembly.

Anti-glare apparatus and mirror having lens assembly with controlled optical axis direction

An electronic ink screen and a control method therefor and a control device therefor. The control method for the electronic ink screen includes: in a preset time period, ensuring that a difference between the number of times of positive voltage refresh processes corresponding to a target capsule and the number of times of negative voltage refresh processes corresponding to the target capsule is less than or equal to a preset difference threshold. Each of the positive voltage refresh processes includes: increasing an amplitude of a control voltage signal to a preset maximum positive voltage value, and then reducing the amplitude of the control voltage signal. Each of the negative voltage refresh processes includes: reducing the amplitude of the control voltage signal to a preset maximum negative voltage value, and then increasing the amplitude of the control voltage signal.

Electronic ink screen and control method therefor and control device therefor

An embodiment of the disclosure provides an immunodetection chip, an immunodetection device and a using method. The immunodetection chip includes a substrate and a cover plate. The substrate is disposed opposite to the cover plate to form a detection chamber. One side, facing the cover plate, of the substrate is fixedly provided with substrate antibodies. An inside wall of the detection chamber is provided with a detection member. The detection member is configured to output a corresponding electrical signal while adsorbing biological magnetic beads. The substrate antibodies match with target antigens.

Immunodetection chip, immunodetection device and using method

The present disclosure provides a secure communication method, and the method may include: a sending terminal may generate data to be transmitted and determine encrypted data by encrypting the data to be transmitted using a preset encryption algorithm based on an encryption key. The encryption key may be obtained by a key exchange process between a smart door lock and a mobile terminal through a preset secure communication channel. The sending terminal may assign a unique identifier to the encrypted data and may send the encrypted data with a unique identifier to the receiving terminal, so that the receiving terminal may perform identity authentication on the encrypted data with the unique identifier and may decrypt the encrypted data based on the encryption key obtained by the key exchange process according to a result of the identity authentication.

Secure communication method and smart lock system based thereof

The present disclosure relates to a method and system for controlling a smart device. The method may include obtaining correlating information of the smart device. The correlating information may include at least one of smart device information or a communication status of the smart device. The method may include determining indication information of the smart device by processing the correlating information of the smart device according to a preset algorithm. The method may include performing designated operations related to the smart device based at least in part on the indication information.

The present disclosure provides a video processing method, including: determining, according to a consulting message, a target short video corresponding to the consulting message; and pushing the target short video to a terminal sending the consulting message. The present disclosure further provides a live streaming processing method, an electronic apparatus, a live streaming system, a terminal, and a computer-readable storage medium. The video processing method can improve the user experience during a live streaming process.

Video processing method, live streaming processing method, live streaming system, electronic device, terminal, and medium

The present disclosure relates to systems and methods for transmitting data. The methods may include obtaining, by a first module, a first packet, wherein the first packet includes a first random code, first data, and a first signature, wherein the first signature is generated by a second module by encryption based on an original random code and original data; generating, by the first module a second signature by encryption based on the first random code and a checksum of the first data; and generating, by the first module, a first response to the first packet upon determining whether the second signature matches the first signature.

Systems and methods for secure data transmission

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Shenzhen, China

Hao Tang