首页> 外国专利> Automated optical inspection method using deep learning and apparatus, computer program for performing the method, computer-readable storage medium storing the computer program, and deep learning system thereof

Automated optical inspection method using deep learning and apparatus, computer program for performing the method, computer-readable storage medium storing the computer program, and deep learning system thereof

机译:使用深度学习和设备,计算机程序进行自动化光学检查方法,用于执行计算机程序的计算机可读存储介质,以及其深度学习系统

摘要

The present invention is an automated optical inspection method using deep learning, comprising the steps of: providing a plurality of paired image combinations, wherein each said paired image combination includes at least one defect-free image and at least one defect-containing image corresponding to the defect-free image; providing a convolutional neural network to start a training mode of the convolutional neural network; inputting the plurality of paired image combinations into the convolutional neural network, and adjusting a weight of at least one fully connected layer of the convolutional neural network through backpropagation to complete the training mode of the convolutional neural network; and performing an optical inspection process using the trained convolutional neural network.
机译:本发明是一种使用深度学习的自动光学检查方法,包括步骤:提供多个配对图像组合,其中每个所述成对图像组合包括至少一个缺陷图像和对应的至少一个缺陷的图像图像。无缺陷图像;提供卷积神经网络以启动卷积神经网络的训练模式;将多个配对图像组合输入到卷积神经网络中,并通过反向化调节卷积神经网络的至少一个完全连接层的重量,以完成卷积神经网络的训练模式;使用训练卷积神经网络进行光学检查过程。

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