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公开(公告)号：US11900589B2
公开(公告)日：2024-02-13
申请号：US17417487
申请日：2020-05-29
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Yongzhang Liu , Zhaoyue Li , Dong Chai , Hong Wang
IPC: G06T7/00 , G06V10/82 , G06V10/764 , G01N29/44
CPC classification number: G06T7/001 , G06V10/764 , G06V10/82 , G01N29/4445 , G06T2207/20081 , G06T2207/20084 , G06T2207/30121
Abstract: The present disclosure provides a detection device of a display panel. The detection device includes: an image receiver configured to receive a detection image of a display panel to be detected; a detector configured to input the detection image of the display panel to be detected into a detection model and generate a detection result by the detection model, the detection model is pre-constructed and configured to detect the display panel. The disclosure also provides a detection method of the display panel, an electronic device and a computer readable medium.
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公开(公告)号：US12106465B2
公开(公告)日：2024-10-01
申请号：US17628364
申请日：2021-03-26
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Yaoping Wang , Meijuan Zhang , Yongzhang Liu , Zhaoyue Li , Dong Chai , Hong Wang
CPC classification number: G06T7/0004 , G06T7/262 , G06T2207/20081 , G06T2207/20084 , G06T2207/30204
Abstract: An image marking method, apparatus and system, which relates to the technical field of image processing. The present disclosure includes, when the working mode of the first client is a first mode, receiving a first marking task assigned by a second client, on the condition that the image marking approach is the first marking approach, according to a neural network model, determining a first marking result corresponding to the first original image; on the condition that the image marking approach is the second marking approach, according to an unsupervised algorithm model, determining a second marking result corresponding to the first original image; on the condition that the image marking approach is the third marking approach, receiving a third marking result inputted by a user into the first original image; and sending a target marking result to the second client.
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公开(公告)号：US11982999B2
公开(公告)日：2024-05-14
申请号：US17429013
申请日：2020-10-30
Inventor： Meijuan Zhang , Yaoping Wang , Zhaoyue Li , Yuanyuan Lu , Wangqiang He , Dong Chai , Hong Wang
CPC classification number: G05B23/0224 , G05B13/028 , G05B2223/02
Abstract: The present disclosure relates to a task processing method and device based on defect detection, a computer readable storage medium, and a task processing apparatus. The method includes receiving a detection task; determining a task type of the detection task; storing the detection task in a task queue if the task type is a target task type; and executing the detection task in a preset order and generating a feedback signal when a processor is idle. The detection task of the target task type includes an inference task and a training task. Executing the training task includes modifying configuration information according to a preset rule based on product information in the detection task; acquiring training data and an initial model according to the product information; and using the training data to train the initial model according to the configuration information to obtain a target model and store it in memory.
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公开(公告)号：US12236362B2
公开(公告)日：2025-02-25
申请号：US17044276
申请日：2019-12-20
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Zhaoyue Li , Dong Chai , Yuanyuan Lu , Hong Wang
Abstract: An inference computing apparatus comprises at least one processor and a memory with program instructions stored therein, the program instructions can be executed by the at least one processor to cause the inference computing apparatus to perform the following operations: receiving a first inference model from a model training apparatus, the first inference model being obtained through a model training by the model training apparatus based on a first training sample library, the first training sample library comprising training samples from historical data generated in a manufacturing stage; performing an inference computing on data to be processed generated in the manufacturing stage based on the first inference model to obtain the inference result which is sent to a user-side device; and evaluating performance of the first inference model to determine whether the first inference model needs to be updated, and if yes, updating the first inference model.
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Patent Agency Ranking
公开(公告)号：US12020516B2
公开(公告)日：2024-06-25
申请号：US17044160
申请日：2019-12-20
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Meijuan Zhang , Yaoping Wang , Zhaoyue Li , Yuanyuan Lu , Dong Chai , Hong Wang
IPC: G07C3/14 , B29C45/76 , G01N21/88 , G06F11/36 , G06F18/2451 , G06Q10/0639 , G06T7/00 , H01L21/67
CPC classification number: G07C3/14 , B29C45/76 , G01N21/8851 , G06F11/3688 , G06F18/2451 , G06Q10/06395 , G06T7/001 , H01L21/67288 , G01N2021/8887
Abstract: A method and a device for processing product manufacturing messages, and an electronic device are disclosed. The method for processing product manufacturing messages includes: monitoring a plurality of product manufacturing messages; establishing a product defect analysis task queue based on the plurality of product manufacturing messages; distributing product defect analysis tasks to product manufacturing assisting devices based on the product defect analysis task queue, wherein the product defect analysis tasks include a task of identifying product defect content based on a defect identification model; wherein the product defect content includes any one or more of: product defect type, product defect location, and product defect size.
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公开(公告)号：US12236580B2
公开(公告)日：2025-02-25
申请号：US18543121
申请日：2023-12-18
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Yongzhang Liu , Zhaoyue Li , Dong Chai , Hong Wang
IPC: G06T7/00 , G06V10/764 , G06V10/82 , G01N29/44
Abstract: The present disclosure provides a detection method. The detection method includes inputting an image to be detected into a detection model being pre-constructed and detecting the image to be detected. The detection model includes a defect classification identification sub-model configured to identify a classification of a defect in the image to be detected, and the defect classification identification sub-model comprises a plurality of base models and a secondary model. The present disclosure further provides an electronic device and a non-transitory computer-readable storage medium.
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公开(公告)号：US11880968B2
公开(公告)日：2024-01-23
申请号：US17043960
申请日：2019-12-20
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Zhaoyue Li , Dong Chai , Yaoping Wang , Meijuan Zhang , Hong Wang
IPC: G06T7/00 , G05B19/418 , G06V10/82 , G06V10/96
CPC classification number: G06T7/0004 , G05B19/41875 , G06V10/82 , G06V10/96 , G05B2219/32368 , G06T2207/20081 , G06T2207/20084 , G06T2207/30148
Abstract: A distributed computing system for product defect analysis is disclosed. The distributed computing system for product defect analysis includes a computing cluster for processing product manufacturing messages, a computing cluster for identifying product defect, a product image database, and a client device.
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公开(公告)号：US20220414859A1
公开(公告)日：2022-12-29
申请号：US17628364
申请日：2021-03-26
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Yaoping Wang , Meijuan Zhang , Yongzhang Liu , Zhaoyue Li , Dong Chai , Hong Wang
Abstract: An image marking method, apparatus and system, which relates to the technical field of image processing. The present disclosure includes, when the working mode of the first client is a first mode, receiving a first marking task assigned by a second client, on the condition that the image marking approach is the first marking approach, according to a neural network model, determining a first marking result corresponding to the first original image; on the condition that the image marking approach is the second marking approach, according to an unsupervised algorithm model, determining a second marking result corresponding to the first original image; on the condition that the image marking approach is the third marking approach, receiving a third marking result inputted by a user into the first original image; and sending a target marking result to the second client.
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公开(公告)号：US11270152B2
公开(公告)日：2022-03-08
申请号：US16633400
申请日：2019-05-23
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Hong Wang , Zhaoyue Li
Abstract: The application provides an image detection method, an image detection apparatus, and a patterning control method, the image detection method including: identifying an input image to obtain image feature data of the input image; comparing the image feature data with preset image feature data in a preset image feature database to obtain deviation data of the input image; wherein the input image is a pattern image of a patterned structure. By intelligently detecting the pattern image of the patterned structure, the accuracy of the detection is improved, thereby reducing the labor input cost.
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