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Display device quality checking methods, devices, electronic devices and storage media

机译:显示设备质量检查方法,设备,电子设备和存储介质

摘要

The present application provides a display device quality inspection method, apparatus, electronic device and storage medium, wherein the method is collected by an image collection facility on the production line of the display device sent from a control unit arranged on the production line of the display device. Receiving a quality inspection request including a display device image; Performing image preprocessing on the display apparatus image, and inputting the display apparatus image after preprocessing to a defect inspection model to obtain a defect inspection result, wherein the defect inspection model uses a deep convolutional neural network structure and an instance segmentation algorithm. To learn about past defect display device images; Determining whether the quality of the display device corresponding to the display device image is good or bad according to the defect inspection result. The defect inspection according to the above technical measures has high accuracy, good system performance, and high work expansion capability.
机译:本申请提供了一种显示装置质量检查方法,装置,电子设备和存储介质,其中,所述方法由图像显示设备上的图像采集设备从布置在所述显示器的生产线上的控制单元发送来进行显示设备。接收包括显示设备图像的质量检查请求;对显示设备图像进行图像预处理,并将预处理后的显示设备图像输入缺陷检查模型以获得缺陷检查结果,其中,缺陷检查模型采用深度卷积神经网络结构和实例分割算法。了解过去的缺陷显示设备图像;根据缺陷检查结果确定与显示设备图像相对应的显示设备的质量是好是坏。根据以上技术措施的缺陷检查具有较高的准确性,良好的系统性能和较高的工作扩展能力。

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