公开(公告)号：US20240227879A1

公开(公告)日：2024-07-11

申请号：US18143637

申请日：2023-05-05

申请人： BEIJING JIAOTONG UNIVERSITY

发明人： Zhan GAO ,  Lin DENG ,  Ye SA ,  Qibo FENG

IPC分类号： B61K9/08 ,  G01B9/02 ,  G01B11/16 ,  G06T7/00 ,  G06T7/40 ,  H04N25/71

CPC分类号： B61K9/08 ,  G01B9/02083 ,  G01B11/162 ,  G06T7/0002 ,  G06T7/40 ,  H04N25/71 ,  G06T2207/20081 ,  G06T2207/20224 ,  G06T2207/30232 ,  G06T2207/30252

摘要： A method for AI real-time inspecting a fastener loosening status, in which a light intensity matrix of a fastener being detected and its adjacent surfaces is obtained via a laser irradiation and an area scan camera system in order to obtain any possible loosening information blow any surface; a correspondence between a speckle texture map and a fastener loosening status is established directly through machine learning of AI, so that the loosening status of any fastener is identified not by any conventional phase extracting technique but by an AI judgement model. According to the present invention, any status at a certain depth below a surface can be detected, and even any status that some fastener is about to be loosened but has not yet actually deformed can also be detected in advance; and a detecting efficiency and accuracy can surpass an ability of skilled human workers.