公开(公告)号：US11341626B2

公开(公告)日：2022-05-24

申请号：US16665857

申请日：2019-10-28

Applicant: Beijing Baidu Netcom Science and Technology Co., Ltd.

Inventor： Yawei Wen ,  Jiabing Leng ,  Chengcheng Wang ,  Ye Su ,  Minghao Liu ,  Yulin Xu ,  Jiangliang Guo ,  Xu Li

IPC: G06T7/00 ,  G06T7/11 ,  G06K9/62

Abstract: Embodiments of the present disclosure relate to a method and apparatus for outputting information. The method can include: acquiring an image of a to-be-inspected object; segmenting the image into at least one subimage; for a subimage in the at least one subimage, inputting the subimage into a pre-trained defect classification model to obtain a defect category corresponding to the subimage; and outputting defect information of the object based on a defect category corresponding to each subimage.

公开(公告)号：US11276158B2

公开(公告)日：2022-03-15

申请号：US16351291

申请日：2019-03-12

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Yawei Wen ,  Jiabing Leng ,  Minghao Liu ,  Yulin Xu ,  Faen Zhang ,  Jiangliang Guo ,  Xu Li ,  Jin Tang

IPC: G06T7/00 ,  G06N20/00 ,  G06K9/62 ,  G06N3/08

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.