Boe Technology Group Co., Ltd.

Beijing Zhongxiangying Technology Co., Ltd.

Meijuan Zhang

Hong Wang

Dong Chai

Yaoping Wang

Zhaoyue Li

Yuanyuan Lu

Wangqiang He

Yongzhang Liu

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.

Method and device for processing product manufacturing messages, electronic device, and computer-readable storage medium

Provided is a method and device for detecting defect, a computer readable storage medium and an electronic device, the method including: acquiring (S) a detection task, and acquiring various types of images corresponding to the detection task; acquiring (S) defect detection models trained by a same initial model corresponding to the types of the images respectively; and obtaining (S) defect detection results by performing defect detection on respective type of images using the defect detection model corresponding to the type of the images.

Method and device for detecting defect, storage medium and electronic device

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.

Image annotation method, device and system

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.

Defect detection task processing method, device, apparatus and storage medium

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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Beijing, China

Meijuan Zhang