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公开(公告)号:US11276158B2
公开(公告)日:2022-03-15
申请号:US16351291
申请日:2019-03-12
Inventor: Yawei Wen , Jiabing Leng , Minghao Liu , Yulin Xu , Faen Zhang , Jiangliang Guo , Xu Li , Jin Tang
Abstract: A method and an apparatus for inspecting a corrosion defect of a ladle are provided. The method includes: acquiring images from various angles using an image acquisition apparatus inside a to-be-inspected ladle; and inputting the acquired images into a defect inspection system to obtain a label representing a defect category, the defect inspection system including: a deep convolutional neural network that predicts a category of a corrosion defect of the ladle included in the images based on the input images. This method has the advantages of high safety, high accuracy and high real-time performance in inspecting the ladle status.